James Koh

1.9k citations
36 papers · 1.5k · h-index 16

Impact in

  • Oncology top 5%
    • Cancer-related Molecular Pathways
    • Cutaneous Melanoma Detection and Management
  • Nephrology top 5%
    • Parathyroid Disorders and Treatments

Papers in

    • Epigenetics and DNA Methylation 6
    • Metabolism, Diabetes, and Cancer 5
    • Ubiquitin and proteasome pathways 3
    • Cancer-related Molecular Pathways 9

James Koh

34 papers receiving 1.4k citations

Peers

James Koh
Comparison fields: 5 of 85
  • Oncology 737
  • Nephrology 133
  • Cancer Research 212
  • Molecular Biology 875
  • Aging 22
Replace Magdalena Karbowniczek with:
Magdalena Karbowniczek United States
James Lee United States
Kanji Hojo Japan
Daniel Keppler United States
X F Wang United States
Michael Tasch United States
Damian Yap Canada
Tammy L. Moser United States
Barbara J. Schiemann United States
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Citations per field
00.5×4.4×
Magdalena Karbowniczek · 1×
Citations per year

Countries citing papers authored by James Koh

Since Specialization
Citations

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

Fields of papers citing papers by James Koh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995444
2 1996170
3 1997157
4 2000118
5 199376
6 200361
7 201359
8 201448
9 201642
10 201040
11 201137
12 201437
13 201525
14 200021
15 200119
16 198715
17 200712
18 20159
19 20189
20 20239

About James Koh

James Koh is a scholar working on Molecular Biology, Oncology, Nephrology, Genetics and Physiology, having authored 36 papers that have together received 1.5k indexed citations. Recurring topics across this work include Parathyroid Disorders and Treatments (13 papers), Cancer-related Molecular Pathways (9 papers), Epigenetics and DNA Methylation (6 papers), Genetic Syndromes and Imprinting (6 papers), Metabolism, Diabetes, and Cancer (5 papers), Ubiquitin and proteasome pathways (3 papers), Telomeres, Telomerase, and Senescence (3 papers) and Ophthalmology and Visual Impairment Studies (2 papers). The work is most often cited by research in Oncology (737 citations), Nephrology (133 citations), Cancer Research (212 citations), Molecular Biology (875 citations) and Aging (22 citations). James Koh has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Greg H. Enders, Ed Harlow, Brian David Dynlacht, Martha R. Stampfer, James C. Garbe, FS Collins, Thomas J. Sferra, Nicholas J. Dyson, John A. Olson and Marie Classon. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular and Cellular Biology, The Journal of Clinical Endocrinology & Metabolism, Journal of Bone and Mineral Research and Molecular Cell.

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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