Kai‐Hsin Lin

5.5k citations
216 papers · 3.9k · h-index 33

Impact in

  • Hematology top 0.5%
    • Acute Myeloid Leukemia Research
    • Iron Metabolism and Disorders
    • Autoimmune and Inflammatory Disorders Research
  • Genetics top 0.5%
    • Hemoglobinopathies and Related Disorders

Papers in

Kai‐Hsin Lin

209 papers receiving 3.7k citations

Peers

Kai‐Hsin Lin
Comparison fields: 5 of 126
  • Hematology 1.3k
  • Genetics 893
  • Oncology 710
  • Pathology and Forensic Medicine 460
  • Immunology 415
Replace Edmond S.K. with:
Edmond S.K. Hong Kong
Yasuhito Nannya Japan
Takehiko Mori Japan
Koji Kato Japan
Bernard Rio France
Paul E. Neiman United States
Yoichi Takaue Japan
Åke Öst Sweden
Pierre‐Simon Rohrlich France
Paul L. Martin United States
Kai‐Hsin Lin relative to Edmond S.K. Hong Kong Edmond S.K.'s profile →
Citations per field
00.5×1.7×
Edmond S.K. · 1×
Citations per year

Countries citing papers authored by Kai‐Hsin Lin

Since Specialization
Citations

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

Fields of papers citing papers by Kai‐Hsin Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 216 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009234
2 1991217
3 1991197
4 2006119
5 2001102
6 199591
7 199589
8 201087
9 200168
10
Marrow transplantation for thalassemia.
198665
11 200964
12 199063
13 200261
14 199160
15 200355
16 200653
17 201146
18 201246
19 200946
20 199845

About Kai‐Hsin Lin

Kai‐Hsin Lin is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Genetics, Oncology and Surgery, having authored 216 papers that have together received 3.9k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (39 papers), Hemoglobinopathies and Related Disorders (31 papers), Acute Myeloid Leukemia Research (30 papers), Hematopoietic Stem Cell Transplantation (19 papers), Neuroblastoma Research and Treatments (17 papers), Chronic Myeloid Leukemia Treatments (17 papers), Viral-associated cancers and disorders (12 papers) and Blood groups and transfusion (10 papers). The work is most often cited by research in Hematology (1.3k citations), Genetics (893 citations), Oncology (710 citations), Pathology and Forensic Medicine (460 citations) and Immunology (415 citations). Kai‐Hsin Lin has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Dong‐Tsamn Lin, Meng‐Yao Lu, Shiann‐Tarng Jou, Kuo‐Sin Lin, Hsiu‐Hao Chang, Yung‐Li Yang, Hwei‐Fang Tien, C-J Chen, Su Ij and ME Kadin. Their work appears in journals such as Pediatric Blood & Cancer, Journal of Pediatric Hematology/Oncology, Blood, Scientific Reports and Pediatric Research.

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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