E. Koh

37 papers receiving 397 citations

Peers

E. Koh
Comparison fields: 5 of 80
  • Reproductive Medicine 112
  • Biochemistry 41
  • Endocrinology, Diabetes and Metabolism 76
  • Physiology 89
  • Genetics 75
Replace Patrick Y. Wong with:
Patrick Y. Wong Hong Kong
Jeffrey C. Chen United States
Yewei Xing United States
P. Schlesinger Australia
MarkéŽta Vaňkov‡á Czechia
Roma Patel India
Samira Ait El Mkadem France
Jennifer L. Kirby United States
Hatae Maesaka Japan
Luigi Garibaldi United States
E. Koh relative to Patrick Y. Wong Hong Kong Patrick Y. Wong's profile →
Citations per field
00.5×
Patrick Y. Wong · 1×
Citations per year

Countries citing papers authored by E. Koh

Since Specialization
Citations

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

Fields of papers citing papers by E. Koh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993106
2 201539
3 200131
4 200928
5 200725
6 201419
7 199016
8 198813
9 198813
10 201712
11 198812
12 198712
13 198911
14 199110
15 201510
16
Five paediatric case reports of the use of adenosine in supraventricular tachycardia.
19986
17 19875
18 19904
19 20114
20 20144

About E. Koh

E. Koh is a scholar working on Molecular Biology, Reproductive Medicine, Surgery, Genetics and Pulmonary and Respiratory Medicine, having authored 37 papers that have together received 410 indexed citations. Recurring topics across this work include Sperm and Testicular Function (12 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (8 papers), Sexual Differentiation and Disorders (7 papers), Hormonal and reproductive studies (6 papers), Testicular diseases and treatments (4 papers), Urologic and reproductive health conditions (3 papers), Urinary and Genital Oncology Studies (2 papers) and Renal cell carcinoma treatment (2 papers). The work is most often cited by research in Reproductive Medicine (112 citations), Biochemistry (41 citations), Endocrinology, Diabetes and Metabolism (76 citations), Physiology (89 citations) and Genetics (75 citations). E. Koh has collaborated with scholars based in Japan, Cameroon and Singapore. Frequent co-authors include Mikio Namiki, Keisuke Fukuo, Toshio Ogihara, Shigeto Morimoto, Nobuyuki Kondoh, Äkïhïko Okuyama, Hideki Fujioka, Y. Maeda, Masami Takeyama and Akira Tsujimura. Their work appears in journals such as Japanese Journal of Clinical Oncology, European Urology, Andrologia, Andrology and International Journal of Impotence 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.

Explore authors with similar magnitude of impact