Do Won Hahn

497 citations
23 papers · 398 indexed · h-index 13

Impact in

Papers in

Do Won Hahn

22 papers receiving 366 citations

Peers

Do Won Hahn
Comparison fields: 5 of 74
  • Reproductive Medicine 177
  • Obstetrics and Gynecology 70
  • Endocrinology, Diabetes and Metabolism 99
  • Genetics 94
  • Immunology 71
Replace F. Franceschetti with:
F. Franceschetti Italy
Rogerio A. Lobo United States
Sergio Stone United States
M. Rose United Kingdom
Yuanjiao Liang China
William E. Findley United States
J Rollet France
Anaglória Pontes Brazil
S Tojo Japan
Hiroji Okada Japan
Do Won Hahn relative to F. Franceschetti Italy F. Franceschetti's profile →
Citations per field
00.5×1.5×
F. Franceschetti · 1×
Citations per year

Countries citing papers authored by Do Won Hahn

Since Specialization
Citations

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

Fields of papers citing papers by Do Won Hahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Do Won Hahn. 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 Do Won Hahn. The network helps show where Do Won Hahn may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198787
2 198657
3 199232
4 198426
5 200623
6 198722
7 198518
8 200616
9 198113
10 197613
11 199513
12 197812
13 198512
14 198511
15 19857
16 19916
17 19776
18 19866
19 19756
20 19965

About Do Won Hahn

Do Won Hahn is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism, Animal Science and Zoology, Behavioral Neuroscience and Small Animals, having authored 23 papers that have together received 398 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (6 papers), Reproductive System and Pregnancy (5 papers), Hormonal and reproductive studies (4 papers), Ovarian function and disorders (4 papers), Endometriosis Research and Treatment (3 papers), Rabbits: Nutrition, Reproduction, Health (2 papers), Hypothalamic control of reproductive hormones (2 papers) and Chemical Synthesis and Analysis (2 papers). The work is most often cited by research in Reproductive Medicine (177 citations), Obstetrics and Gynecology (70 citations), Endocrinology, Diabetes and Metabolism (99 citations), Genetics (94 citations) and Immunology (71 citations). Do Won Hahn has collaborated with scholars based in United States and Switzerland. Frequent co-authors include J.L. McGuire, A. Phillips, Robin G. Foldesy, David M. Ritchie, James C. Lanter, Zhihua Sui, George F. Allan, Claudio F. Chillik, Gary D. Hodgen and Colin G. Scanes. Their work appears in journals such as Fertility and Sterility, American Journal of Obstetrics and Gynecology, Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters and Contraception.

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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