Wen‐Hsing Lin

1.5k citations
45 papers · 987 · h-index 19

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
  • Oncology top 10%
    • Cancer-related Molecular Pathways

Papers in

    • Cancer therapeutics and mechanisms 6
    • Protein Degradation and Inhibitors 5
    • Cancer-related Molecular Pathways 11
    • HER2/EGFR in Cancer Research 4

Wen‐Hsing Lin

44 papers receiving 972 citations

Peers

Wen‐Hsing Lin
Comparison fields: 5 of 88
  • Hematology 111
  • Oncology 260
  • Cell Biology 143
  • Molecular Biology 569
  • Organic Chemistry 212
Replace Butrus Atrash with:
Butrus Atrash United Kingdom
Manuela Gridling Austria
Robert A. Galemmo United States
Jay S. Tung United States
Philip Lienau Germany
Veeraswamy Manne United States
Henrik Möbitz Switzerland
Yiqun Li China
Linda Rickardson Sweden
Xin‐Jie Chu United States
Wen‐Hsing Lin relative to Butrus Atrash United Kingdom Butrus Atrash's profile →
Citations per field
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Citations per year

Countries citing papers authored by Wen‐Hsing Lin

Since Specialization
Citations

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

Fields of papers citing papers by Wen‐Hsing Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013109
2 201564
3 200964
4 200155
5 200154
6 201149
7 201145
8 201438
9 201338
10 200636
11 201930
12 202130
13 200928
14 201626
15 200824
16 201223
17 201619
18 201419
19 200619
20 200918

About Wen‐Hsing Lin

Wen‐Hsing Lin is a scholar working on Molecular Biology, Oncology, Cell Biology, Hematology and Pulmonary and Respiratory Medicine, having authored 45 papers that have together received 987 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (13 papers), Cancer-related Molecular Pathways (11 papers), Cancer therapeutics and mechanisms (6 papers), Protein Degradation and Inhibitors (5 papers), Acute Myeloid Leukemia Research (5 papers), Chronic Myeloid Leukemia Treatments (5 papers), Lung Cancer Treatments and Mutations (5 papers) and HER2/EGFR in Cancer Research (4 papers). The work is most often cited by research in Hematology (111 citations), Oncology (260 citations), Cell Biology (143 citations), Molecular Biology (569 citations) and Organic Chemistry (212 citations). Wen‐Hsing Lin has collaborated with scholars based in Taiwan, India and United States. Frequent co-authors include Hsing‐Pang Hsieh, Mohane Selvaraj Coumar, John Hsu, John T.-A. Hsu, Chun-Hwa Chen, Su‐Ying Wu, Yi-Yu Ke, Tzu‐Wen Lien, Jian-Sung Wu and Yu-Sheng Chao. Their work appears in journals such as Journal of Medicinal Chemistry, European Journal of Medicinal Chemistry, ChemMedChem, Bioorganic & Medicinal Chemistry Letters and Bioorganic & Medicinal Chemistry.

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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