Eric V. Li

1.6k citations
38 papers · 528 · h-index 11

Impact in

Papers in

Eric V. Li

31 papers receiving 526 citations

Peers

Eric V. Li
Comparison fields: 5 of 72
  • Cancer Research 202
  • Modeling and Simulation 32
  • Biological Psychiatry 9
  • Molecular Biology 240
  • Pulmonary and Respiratory Medicine 95
Replace Alicia Amadoz with:
Alicia Amadoz Spain
Brandon Jew United States
Jinliang Wang China
Yingping Li China
Sampath K. Loganathan Canada
Aristeidis Chrysovergis Greece
Brunilda Balliu United States
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Eric V. Li relative to Alicia Amadoz Spain Alicia Amadoz's profile →
Citations per field
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Alicia Amadoz · 1×
Citations per year

Countries citing papers authored by Eric V. Li

Since Specialization
Citations

This map shows the geographic impact of Eric V. Li's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Eric V. Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric V. Li more than expected).

Fields of papers citing papers by Eric V. Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric V. Li. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Eric V. Li. The network helps show where Eric V. Li may publish in the future.

Co-authors

The 25 scholars most cited alongside Eric V. Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eric V. Li Line = papers co-authored together Eric V. Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015131
2 201686
3 201775
4 201846
5 202141
6 201621
7 202219
8 202316
9 202111
10 202310
11 202110
12 202410
13 20057
14 20206
15 20245
16 20254
17 20214
18 20244
19 20203
20 20243

About Eric V. Li

Eric V. Li is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Genetics, Surgery and Artificial Intelligence, having authored 38 papers that have together received 528 indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (15 papers), Prostate Cancer Treatment and Research (4 papers), Algorithms and Data Compression (2 papers), RNA Research and Splicing (2 papers), Genomics and Phylogenetic Studies (2 papers), RNA modifications and cancer (2 papers), Cancer-related molecular mechanisms research (2 papers) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Cancer Research (202 citations), Modeling and Simulation (32 citations), Biological Psychiatry (9 citations), Molecular Biology (240 citations) and Pulmonary and Respiratory Medicine (95 citations). Eric V. Li has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Edward M. Schaeffer, John L. Rinn, Chiara Gerhardinger, Olivia D. Plana, Martin Sauvageau, Abigail F. Groff, Adam B. Weiner, Lara E. Elcavage, Paola Arlotta and Meryem Gonzalez-Celeiro. Their work appears in journals such as Prostate Cancer and Prostatic Diseases, The Prostate, Urologic Oncology Seminars and Original Investigations, European Urology Oncology and Urology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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