Chan Li

1.3k citations
54 papers · 836 · h-index 15

Impact in

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

Papers in

Chan Li

45 papers receiving 819 citations

Peers

Chan Li
Comparison fields: 5 of 110
  • Hematology 187
  • Genetics 168
  • Infectious Diseases 136
  • Immunology 141
  • Biological Psychiatry 16
Replace Mingqiang Shen with:
Mingqiang Shen China
Prasenjit Guchhait India
Maria Kulecka Poland
Etsuko Yamazaki Japan
Ying Xiang China
Vanya Icheva Germany
Anupriya Khare United States
Anna Christine Nilsson Denmark
Yongqing Tong China
T. Shimoda Japan
Chan Li relative to Mingqiang Shen China Mingqiang Shen's profile →
Citations per field
00.5×2.8×
Mingqiang Shen · 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 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014141
2 1985135
3 2017114
4 202351
5 201635
6 202123
7 202120
8 201519
9 201119
10 201217
11 201916
12 201616
13 201716
14 202116
15 202115
16 202314
17 201914
18 202114
19 202213
20 202012

About Chan Li

Chan Li is a scholar working on Surgery, Molecular Biology, Oncology, Pathology and Forensic Medicine and Genetics, having authored 54 papers that have together received 836 indexed citations. Recurring topics across this work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers), Proteins in Food Systems (3 papers), Cancer survivorship and care (3 papers), COVID-19 and Mental Health (3 papers), Meat and Animal Product Quality (3 papers), Spine and Intervertebral Disc Pathology (3 papers), Mindfulness and Compassion Interventions (2 papers) and Endometrial and Cervical Cancer Treatments (2 papers). The work is most often cited by research in Hematology (187 citations), Genetics (168 citations), Infectious Diseases (136 citations), Immunology (141 citations) and Biological Psychiatry (16 citations). Chan Li has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include G.D. Birnie, Dario Campana, Robert W. Tindle, Daniel Catovsky, R.A.B. Nichols, Jonas Emsley, Hanping Feng, David Sun, Pengfei Yuan and Shan Li. Their work appears in journals such as Inorganic Chemistry, Food Chemistry, Medicine, International Journal of Molecular Sciences and Heliyon.

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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