Koei Chin

10.8k citations
65 papers · 3.4k indexed · h-index 27
Topics
Genomic variations and chromosomal abnormalities (17 papers)Molecular Biology Techniques and Applications (10 papers)Cancer Genomics and Diagnostics (9 papers)
Partner nations
United StatesJapanPoland

In The Last Decade

Koei Chin

62 papers receiving 3.4k citations

Peers

Koei Chin
Comparison fields: 5 of 127
  • Molecular Biology 2.2k
  • Cancer Research 1.0k
  • Oncology 876
  • Genetics 812
  • Physiology 422
Replace Afshan McCarthy with:
Afshan McCarthy United Kingdom
Julie B. Sneddon United States
Andreas Gast Germany
Fiona Kaper United States
Simone Petersen Germany
Kim L. Mercer United States
Narendra Wajapeyee United States
Steven P. Linke United States
Andrew J. Aguirre United States
Hans Morreau Netherlands
Koei Chin relative to Afshan McCarthy United Kingdom Afshan McCarthy's profile →
Citations per field
00.5×1.5×
Afshan McCarthy · 1×
Citations per year

Countries citing papers authored by Koei Chin

Since Specialization
Citations

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

Fields of papers citing papers by Koei Chin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koei Chin

This figure shows the co-authorship network connecting the top 25 collaborators of Koei Chin. A scholar is included among the top collaborators of Koei Chin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Koei Chin. Koei Chin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 20
3 24
4 2
5 8
6 31
7 21
8 6
9 106
10 29
11 130
12 1
13
Asparagine synthetase as a causal, predictive biomarker forL-asparaginase activity in ovarian cancer cells
0
14 118
15 5
16 401
17 13
18 277
19 12
20 79

About Koei Chin

Koei Chin is a scholar working on Cancer Research, Oncology and Biophysics, having authored 65 papers that have together received 3.4k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (17 papers), Molecular Biology Techniques and Applications (10 papers) and Cancer Genomics and Diagnostics (9 papers). The work is most often cited by research in Cancer Research (1.0k citations), Aging (66 citations) and Oncology (876 citations). Koei Chin has collaborated with scholars based in United States, Japan and Poland. Frequent co-authors include Joe W. Gray, John Hodgson, Colin C. Collins, Ajay N. Jain, Frederic M. Waldman, Martha R. Stampfer, Paul Yaswen, Judith Campisi, Christian Beauséjour and Pierre-Yves Desprez. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Genetics.

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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