N. Koh

24 papers receiving 657 citations

Peers

N. Koh
Comparison fields: 5 of 66
  • Clinical Biochemistry 110
  • Physiology 220
  • Cell Biology 139
  • Endocrinology, Diabetes and Metabolism 128
  • Ophthalmology 52
Replace Sadao Chaya with:
Sadao Chaya Japan
Koji Nobe Japan
James J. Devenny United States
Snezana Munk Canada
Karl H. Weisgraber United States
Takhellambam S. Devi United States
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Mira M. Sachdeva United States
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Citations per year

Countries citing papers authored by N. Koh

Since Specialization
Citations

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

Fields of papers citing papers by N. Koh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999196
2
Somatic mutation of mitochondrial DNA in cancerous and noncancerous liver tissue in individuals with hepatocellular carcinoma.
2001126
3 198565
4
Islet cell transplantation in type I diabetes mellitus.
198737
5 199237
6
Point mutation of ornithine decarboxylase gene in human hepatocellular carcinoma.
199533
7 199630
8 199525
9 199920
10 199314
11
Use of the C64 quantitative tuning fork and the effect of niceritrol in diabetic neuropathy.
199514
12 199313
13 198812
14 199612
15 199512
16 199511
17 199510
18 199110
19 19939
20 19964

About N. Koh

N. Koh is a scholar working on Molecular Biology, Cell Biology, Physiology, Surgery and Clinical Biochemistry, having authored 26 papers that have together received 695 indexed citations. Recurring topics across this work include Aldose Reductase and Taurine (6 papers), Metabolism, Diabetes, and Cancer (4 papers), Retinal Diseases and Treatments (4 papers), Pancreatic function and diabetes (4 papers), Metabolism and Genetic Disorders (3 papers), Pharmacology and Obesity Treatment (3 papers), Pain Mechanisms and Treatments (3 papers) and Biochemical effects in animals (3 papers). The work is most often cited by research in Clinical Biochemistry (110 citations), Physiology (220 citations), Cell Biology (139 citations), Endocrinology, Diabetes and Metabolism (128 citations) and Ophthalmology (52 citations). N. Koh has collaborated with scholars based in Japan, South Korea and Malaysia. Frequent co-authors include Norio Hotta, Fumihiko Sakakibara, Hironobu Kakuta, Hideo Fukasawa, Jiro Nakamura, Keiji Naruse, N. Sakamoto, Yuichi Hamada, Eitaro Nakashima and Akihiro Tamori. Their work appears in journals such as Diabetes Research and Clinical Practice, Pflügers Archiv - European Journal of Physiology, Diabetologia, Diabetes and Hormone and Metabolic 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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