Chan Li

1.3k citations
55 papers · 875 · h-index 16

Impact in

  • Genetics top 5%
    • Coagulation, Bradykinin, Polyphosphates, and Angioedema
  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Blood Coagulation and Thrombosis Mechanisms

Papers in

Chan Li

47 papers receiving 859 citations

Peers

Chan Li
Comparison fields: 5 of 104
  • Genetics 164
  • Hematology 159
  • Infectious Diseases 131
  • Immunology 130
  • Gastroenterology 27
Replace Jianling Li with:
Jianling Li China
Mingqiang Shen China
Andrea Wilke Germany
Letícia S. Alves Brazil
Vanya Icheva Germany
Maria Kulecka Poland
J Schölmerich Germany
Melanie Scully United States
Nader Tajik Iran
Xufei Zhang China
Chan Li relative to Jianling Li China Jianling Li's profile →
Citations per field
00.5×1.5×2.1×
Jianling Li · 1×
Citations per year

Countries citing papers authored by Chan Li

Since Specialization
Citations

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

Fields of papers citing papers by Chan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014142
2 1985135
3 2017116
4 202360
5 201636
6 202123
7 202121
8 201120
9 201519
10 201718
11 202317
12 201217
13 201916
14 201916
15 202116
16 201616
17 202115
18 202115
19 202214
20 202012

About Chan Li

Chan Li is a scholar working on Molecular Biology, Surgery, Oncology, Pathology and Forensic Medicine and Genetics, having authored 55 papers that have together received 875 indexed citations. Recurring topics across this work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers), Cancer survivorship and care (3 papers), Proteins in Food Systems (3 papers), Meat and Animal Product Quality (3 papers), Muscle metabolism and nutrition (2 papers), Gut microbiota and health (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Genetics (164 citations), Hematology (159 citations), Infectious Diseases (131 citations), Immunology (130 citations) and Gastroenterology (27 citations). Chan Li has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Robert W. Tindle, R.A.B. Nichols, Daniel Catovsky, Dario Campana, G.D. Birnie, Jonas Emsley, Ingrid M. Verhamme, David Gailani, Ivan Ivanov and Bassem M. Mohammed. Their work appears in journals such as PLoS ONE, International Journal of Molecular Sciences, Heliyon, Inorganic Chemistry and Medicine.

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.

Explore authors with similar magnitude of impact