Cheryl Li

1.1k citations
23 papers · 838 · h-index 11

Impact in

Papers in

    • Biosimilars and Bioanalytical Methods 2
    • Immunodeficiency and Autoimmune Disorders 2
    • Receptor Mechanisms and Signaling 2

Cheryl Li

22 papers receiving 819 citations

Peers

Cheryl Li
Comparison fields: 5 of 88
  • Neurology 74
  • Immunology 168
  • Oncology 189
  • Rheumatology 103
  • Molecular Biology 383
Replace Khoa Nguyen with:
Khoa Nguyen United States
Yukihiko Aikawa Japan
Ilan Ifergan Israel
Megan M. Price United States
Gillian Borland United Kingdom
Masayo Hosokawa Japan
Marı́a N. Navarro Spain
Wenyan Miao United States
Paul Smith United States
Naoko Funeshima Japan
Cheryl Li relative to Khoa Nguyen United States Khoa Nguyen's profile →
Citations per field
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Khoa Nguyen · 1×
Citations per year

Countries citing papers authored by Cheryl Li

Since Specialization
Citations

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

Fields of papers citing papers by Cheryl Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012205
2 2009191
3 2017136
4 201698
5 201944
6 201439
7 201227
8 201115
9 200912
10 201911
11 201811
12 202210
13 202110
14 20187
15 20087
16 20164
17 20204
18 20242
19 20192
20 20251

About Cheryl Li

Cheryl Li is a scholar working on Immunology, Molecular Biology, Oncology, Hematology and Genetics, having authored 23 papers that have together received 838 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Biosimilars and Bioanalytical Methods (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Receptor Mechanisms and Signaling (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers) and Cardiac electrophysiology and arrhythmias (2 papers). The work is most often cited by research in Neurology (74 citations), Immunology (168 citations), Oncology (189 citations), Rheumatology (103 citations) and Molecular Biology (383 citations). Cheryl Li has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Walt F. Lima, Stanley T. Crooke, Bo Feng, Thomas J. Feuerstein, Lori M. Roberts, Mark S. Warren, Emily Tate, Bill J. Smith, Noa Zerangue and John P. Gibbs. Their work appears in journals such as Pharmaceutical Research, Blood, Gastroenterology, Annals of the Rheumatic Diseases and Bioorganic & Medicinal Chemistry Letters.

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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