Keming Lin

2.1k citations
26 papers · 1.7k indexed · h-index 14

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
  • Genetics top 5%
    • Connective tissue disorders research
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Cancer-related molecular mechanisms research 2
    • Cancer Genomics and Diagnostics 2
    • Acute Myeloid Leukemia Research 3

Keming Lin

25 papers receiving 1.6k citations

Peers

Keming Lin
Comparison fields: 5 of 133
  • Hematology 228
  • Genetics 184
  • Developmental Biology 37
  • Molecular Biology 1.0k
  • Rheumatology 146
Replace Michael Wanzel with:
Michael Wanzel Germany
Changwon Park United States
Ginevra Guanti Italy
Younghoon Jang South Korea
Ryo Fukuyama Japan
Regina Raz United States
Mariko Kashiwagi Japan
Quan Kang China
Qiping Zheng China
Paul R. Odgren United States
Keming Lin relative to Michael Wanzel Germany Michael Wanzel's profile →
Citations per field
00.5×10×20×30×37×
Michael Wanzel · 1×
Citations per year

Countries citing papers authored by Keming Lin

Since Specialization
Citations

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

Fields of papers citing papers by Keming Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20254
3 20247
4 202410
5 202336
6 202318
7 202323
8 202028
9 2015213
10 20144
11 2012118
12 201245
13 20076
14
The Lacanian spectator: Lacanian psychoanalysis and the cinema
20072
15 20016
16 1997447
17 1996331
18 199613
19 199527
20
Present status of human immunodeficiency virus infection in Taiwan.
19873

About Keming Lin

Keming Lin is a scholar working on Cancer Research, Hematology, Oncology, Critical Care and Intensive Care Medicine and Immunology, having authored 26 papers that have together received 1.7k indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), Acute Myeloid Leukemia Research (3 papers), Cancer-related molecular mechanisms research (2 papers), Cancer Genomics and Diagnostics (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), melanin and skin pigmentation (2 papers) and TGF-β signaling in diseases (2 papers). The work is most often cited by research in Hematology (228 citations), Genetics (184 citations), Developmental Biology (37 citations), Molecular Biology (1.0k citations) and Rheumatology (146 citations). Keming Lin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Frank P. Luyten, Malcolm Moos, Shouwen Wang, Marie Krinks, J Cervenka, Maurício Camargo, J. Terrig Thomas, Yuan‐Lu Cui, Qiangsong Wang and Martin A. Julius. Their work appears in journals such as Blood, Genomics, Molecular Cancer, Molecular Therapy — Oncolytics and Journal of Materials Processing Technology.

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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