Cheryl Li

1.1k citations
23 papers · 891 · h-index 12

Impact in

Papers in

    • RNA Interference and Gene Delivery 2
    • Chronic Myeloid Leukemia Treatments 2
    • Multiple Myeloma Research and Treatments 2

Cheryl Li

22 papers receiving 861 citations

Peers

Cheryl Li
Comparison fields: 5 of 80
  • Neurology 78
  • Immunology 151
  • Oncology 183
  • Rheumatology 98
  • Cancer Research 79
Replace Khoa Nguyen with:
Khoa Nguyen United States
Yukihiko Aikawa Japan
Ilan Ifergan Israel
Monica Cattaneo Italy
Marı́a N. Navarro Spain
Megan M. Price United States
Lan Shao China
Shuhong Han United States
Zhiqing Li China
Elena B. Samoilova United States
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 2012218
2 2009199
3 2017140
4 2016107
5 201946
6 201442
7 201231
8 201118
9 201913
10 200912
11 201811
12 202111
13 202210
14 20089
15 20187
16 20164
17 20204
18 20193
19 20243
20 20241

About Cheryl Li

Cheryl Li is a scholar working on Molecular Biology, Hematology, Genetics, Cellular and Molecular Neuroscience and Immunology, having authored 23 papers that have together received 891 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (3 papers), RNA Interference and Gene Delivery (2 papers), Malaria Research and Control (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Eosinophilic Esophagitis (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Multiple Myeloma Research and Treatments (2 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). The work is most often cited by research in Neurology (78 citations), Immunology (151 citations), Oncology (183 citations), Rheumatology (98 citations) and Cancer Research (79 citations). Cheryl Li has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Walt F. Lima, Stanley T. Crooke, Emily Tate, Bo Feng, Bill J. Smith, Noa Zerangue, John P. Gibbs, Mark S. Warren, Lori M. Roberts and Thomas J. Feuerstein. Their work appears in journals such as Blood, Pharmaceutical Research, Journal of the American Society of Nephrology, British Journal of Clinical Pharmacology and Gastroenterology.

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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