Xinqiang Ding: h-index, Total Citations, and Citation Map
Xinqiang Ding's h-index is 16 (17 i10-index, 957+ total citations across 32+ publications) according to Google Scholar as of June 2026. Xinqiang Ding is affiliated with Assistant Professor of Chemistry, Tufts University.
Xinqiang Ding is a researcher affiliated with Assistant Professor of Chemistry, Tufts University, specializing in Free Energy Calculation, Protein-ligand Interaction, Protein Evolution. Their work has been cited 957 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Xinqiang Ding's Citation Metrics
Bibliometric impact based on 32 indexed publications.
- H-Index
- 16
- i10-Index
- 17
- Total Citations
- 957
- Citing Countries
- 54
As of June 2026.
Xinqiang Ding has an h-index of 16 and 957 total citations across 32 publications, with research cited by institutions in 54 countries.
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Global Impact Map
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Deciphering protein evolution and fitness landscapes with latent space models
2019144+69
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
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Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
89 citing papers could not be classified (no author data) — excluded from the percentages above.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Xinqiang Ding's research
Xinqiang Ding is a researcher in Free Energy Calculation, Protein-ligand Interaction and Protein Evolution at Assistant Professor of Chemistry, Tufts University. Their work has been cited 957 times across 32 publications (h-index 16), according to Google Scholar.
Their most-cited work, “Deciphering protein evolution and fitness landscapes with latent space models” (2019), has accumulated 144 citations. Other influential works include “CHARMM at 45: Enhancements in accessibility, functionality, and speed” (2024) with 120 citations and “Improved prediction of RNA secondary structure by integrating the free energy model with restraints derived from experimental probing data” (2015) with 98 citations.
Citations of Xinqiang Ding's research come primarily from United States, China and United Kingdom, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
