L M Chen

620 citations
10 papers · 525 · h-index 10

Impact in

  • Genetics top 2%
    • Coagulation, Bradykinin, Polyphosphates, and Angioedema
  • Hematology top 5%
    • Blood Coagulation and Thrombosis Mechanisms

Papers in

    • Coagulation, Bradykinin, Polyphosphates, and Angioedema 8
    • Blood Coagulation and Thrombosis Mechanisms 5

L M Chen

10 papers receiving 514 citations

Peers

L M Chen
Comparison fields: 5 of 61
  • Genetics 314
  • Hematology 140
  • Cardiology and Cardiovascular Medicine 80
  • Cancer Research 38
  • Immunology and Allergy 15
Replace Julie Chao with:
Julie Chao United States
Lee Chao United States
William Xiong United States
Jean Grisouard Switzerland
Karen Gilio Netherlands
Lurong Lian United States
Todd M. Quinton United States
Song‐Gui Yang Canada
Tom N. Durrant United Kingdom
Ginette Le Cam France
L M Chen relative to Julie Chao United States Julie Chao's profile →
Citations per field
00.5×1.5×
Julie Chao · 1×
Citations per year

Countries citing papers authored by L M Chen

Since Specialization
Citations

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

Fields of papers citing papers by L M Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L M Chen. 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 L M Chen. The network helps show where L M Chen may publish in the future.

Co-authors

The 13 scholars most cited alongside L M Chen, 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 L M Chen Line = papers co-authored together L M Chen links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 1990114
2 1996108
3 199776
4 199745
5 199037
6 199035
7 199734
8 199032
9 199528
10 199216

About L M Chen

L M Chen is a scholar working on Genetics, Hematology, Molecular Biology, Cardiology and Cardiovascular Medicine and Oncology, having authored 10 papers that have together received 525 indexed citations. Recurring topics across this work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (8 papers), Blood Coagulation and Thrombosis Mechanisms (5 papers), Renin-Angiotensin System Studies (3 papers), Vitamin K Research Studies (2 papers), Peptidase Inhibition and Analysis (2 papers), Eicosanoids and Hypertension Pharmacology (1 paper), Computational Drug Discovery Methods (1 paper) and S100 Proteins and Annexins (1 paper). The work is most often cited by research in Genetics (314 citations), Hematology (140 citations), Cardiology and Cardiovascular Medicine (80 citations), Cancer Research (38 citations) and Immunology and Allergy (15 citations). L M Chen has collaborated with scholars based in United States. Frequent co-authors include Julie Chao, Julie Chao, L Chao, William Xiong, Lee Chao, Zhirong Yang, Lee Chao, Steven Chao, John N. Stallone and Lee Chao. Their work appears in journals such as Biochemical Journal, Journal of Biological Chemistry, Human Gene Therapy, Journal of Clinical Investigation and Life Sciences.

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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