Gerald Li

2.2k citations
48 papers · 802 · h-index 13

Impact in

    • Cancer Genomics and Diagnostics
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Pancreatic and Hepatic Oncology Research

Papers in

Gerald Li

40 papers receiving 795 citations

Peers

Gerald Li
Comparison fields: 5 of 84
  • Cancer Research 309
  • Oncology 312
  • Pulmonary and Respiratory Medicine 279
  • Neurology 79
  • Pathology and Forensic Medicine 79
Replace Siew‐Kee Low with:
Siew‐Kee Low Japan
Elizabeth Yan United States
Ugonma Chukwueke United States
Gaspar Reynés Spain
Giuseppe Nicolò Fanelli Italy
Saskia Ting Germany
Jaime Ferrer-Lozano Spain
Rutika Mehta United States
Claudia Vollbrecht Germany
Rifaquat Rahman United States
Gerald Li relative to Siew‐Kee Low Japan Siew‐Kee Low's profile →
Citations per field
00.5×1.5×2.3×
Siew‐Kee Low · 1×
Citations per year

Countries citing papers authored by Gerald Li

Since Specialization
Citations

This map shows the geographic impact of Gerald 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 Gerald Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerald Li more than expected).

Fields of papers citing papers by Gerald Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerald 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 Gerald Li. The network helps show where Gerald Li may publish in the future.

Co-authors

The 25 scholars most cited alongside Gerald 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 Gerald Li Line = papers co-authored together Gerald Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020131
2 2022100
3 2020100
4 201777
5 201872
6 202240
7 202331
8 202326
9 202320
10 202319
11 202218
12 202316
13 202215
14 202411
15 202310
16 20229
17 20169
18 20129
19 20218
20 20248

About Gerald Li

Gerald Li is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Oncology, Pathology and Forensic Medicine and Surgery, having authored 48 papers that have together received 802 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (28 papers), Lung Cancer Treatments and Mutations (11 papers), Cancer Immunotherapy and Biomarkers (10 papers), Genetic factors in colorectal cancer (9 papers), Prostate Cancer Treatment and Research (6 papers), PARP inhibition in cancer therapy (5 papers), Colorectal Cancer Treatments and Studies (4 papers) and Advanced Breast Cancer Therapies (4 papers). The work is most often cited by research in Cancer Research (309 citations), Oncology (312 citations), Pulmonary and Respiratory Medicine (279 citations), Neurology (79 citations) and Pathology and Forensic Medicine (79 citations). Gerald Li has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Ryon P. Graf, Geoffrey R. Oxnard, Emily Castellanos, Tamara Snow, Mengyue Niu, Jianjun Liu, Ming Yao, Wenyan Kang, Lin Zhou and Gaurav Singal. Their work appears in journals such as Journal of Clinical Oncology, Clinical Cancer Research, JAMA Network Open, JCO Precision Oncology and Journal for ImmunoTherapy of Cancer.

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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