N. Koh

24 papers receiving 676 citations

Peers

N. Koh
Comparison fields: 5 of 71
  • Clinical Biochemistry 130
  • Physiology 252
  • Cell Biology 150
  • Endocrinology, Diabetes and Metabolism 141
  • Ophthalmology 57
Replace Sadao Chaya with:
Sadao Chaya Japan
Tomohiko Sasase Japan
MJ Stevens Australia
C Sui China
Yoon Sook Kim South Korea
James J. Devenny United States
Nobuhiro Miyamura Japan
Kees Schoonderwoerd Netherlands
Ikuo Hatanaka Japan
Terry Evans Canada
N. Koh relative to Sadao Chaya Japan Sadao Chaya's profile →
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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 1999188
2
Somatic mutation of mitochondrial DNA in cancerous and noncancerous liver tissue in individuals with hepatocellular carcinoma.
2001125
3 198563
4 199845
5 199235
6
Point mutation of ornithine decarboxylase gene in human hepatocellular carcinoma.
199532
7
Islet cell transplantation in type I diabetes mellitus.
198731
8 199628
9 199524
10 199919
11
Use of the C64 quantitative tuning fork and the effect of niceritrol in diabetic neuropathy.
199514
12 198812
13 199312
14 199511
15 199311
16 199610
17 199510
18 199110
19 19939
20 19959

About N. Koh

N. Koh is a scholar working on Molecular Biology, Cell Biology, Physiology, Clinical Biochemistry and Surgery, having authored 26 papers that have together received 705 indexed citations. Recurring topics across this work include Aldose Reductase and Taurine (7 papers), Pancreatic function and diabetes (4 papers), Metabolism and Genetic Disorders (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Retinal Diseases and Treatments (4 papers), Advanced Glycation End Products research (3 papers), Biochemical effects in animals (3 papers) and Pain Mechanisms and Treatments (3 papers). The work is most often cited by research in Clinical Biochemistry (130 citations), Physiology (252 citations), Cell Biology (150 citations), Endocrinology, Diabetes and Metabolism (141 citations) and Ophthalmology (57 citations). N. Koh has collaborated with scholars based in Japan, South Korea and United States. Frequent co-authors include Norio Hotta, Fumihiko Sakakibara, Hironobu Kakuta, Keiji Naruse, Eitaro Nakashima, Hideo Fukasawa, Jiro Nakamura, N. Sakamoto, Yuichi Hamada and Sadao Chaya. Their work appears in journals such as Diabetes Research and Clinical Practice, Journal of Pharmacology and Experimental Therapeutics, Diabetes, Pflügers Archiv - European Journal of Physiology and Diabetologia.

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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