Marie Lin

6.4k citations
137 papers · 4.1k indexed · 1 hit paper · h-index 31

Impact in

Papers in

    • Blood groups and transfusion 46
    • T-cell and B-cell Immunology 37
    • Immune Cell Function and Interaction 29
    • Immunotherapy and Immune Responses 16

Marie Lin

136 papers receiving 3.9k citations

Hit Papers

HLA-B*5801 allele as a genetic marker for severe cutaneous adverse reactions caused by allopurinol 2005 · 941 citations
9412005202620122019250500750

Peers

Marie Lin
Comparison fields: 5 of 129
  • Hematology 889
  • Pharmacology 700
  • Rheumatology 589
  • Genetics 1.0k
  • Immunology 741
Replace Christian Rittner with:
Christian Rittner Germany
Motoki Osawa Japan
Paul Lyons United Kingdom
Ândrea Ribeiro‐dos‐Santos Brazil
Philip J. Mason United Kingdom
S. W. Serjeantson Australia
Thierry Martin France
J. F. Loutit United Kingdom
Steven O. Stapel Netherlands
William A. Sewell Australia
Marie Lin relative to Christian Rittner Germany Christian Rittner's profile →
Citations per field
00.5×10×15×17.9×
Christian Rittner · 1×
Citations per year

Countries citing papers authored by Marie Lin

Since Specialization
Citations

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

Fields of papers citing papers by Marie Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20194
3 20117
4 20119
5 201113
6 201011
7 201043
8 20096
9 2009100
10 200772
11 20068
12 20063
13
HLA-B*5801 allele as a genetic marker for severe cutaneous adverse reactions caused by allopurinol
Hit paper breakdown →
2005941
14 200222
15 200149
16 199531
17 19955
18 199515
19 19945
20 19949

About Marie Lin

Marie Lin is a scholar working on Hematology, Immunology, Genetics, Physiology and Biochemistry, having authored 137 papers that have together received 4.1k indexed citations. Recurring topics across this work include Blood groups and transfusion (46 papers), T-cell and B-cell Immunology (37 papers), Immune Cell Function and Interaction (29 papers), Erythrocyte Function and Pathophysiology (27 papers), Immunotherapy and Immune Responses (16 papers), Blood disorders and treatments (14 papers), Forensic and Genetic Research (13 papers) and Diabetes and associated disorders (9 papers). The work is most often cited by research in Hematology (889 citations), Pharmacology (700 citations), Rheumatology (589 citations), Genetics (1.0k citations) and Immunology (741 citations). Marie Lin has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Richard E. Broadberry, J. Tréjaut, C.C. Chu, Yuh‐Ching Twu, Chen‐Chung Chu, Cathy S.J. Fann, Joung-Liang Lan, Chia‐Yu Chu, Kuo-Hsien Wang and Wen‐Hung Chung. Their work appears in journals such as Vox Sanguinis, Transfusion, Human Immunology, Transfusion Medicine and Blood.

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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