Tak Kim

3.6k citations
125 papers · 2.7k · h-index 31

Impact in

Papers in

Tak Kim

119 papers receiving 2.6k citations

Peers

Tak Kim
Comparison fields: 5 of 139
  • Reproductive Medicine 611
  • Obstetrics and Gynecology 221
  • Endocrinology, Diabetes and Metabolism 397
  • Public Health, Environmental and Occupational Health 542
  • Endocrine and Autonomic Systems 105
Replace Błażej Męczekalski with:
Błażej Męczekalski Poland
Jung‐Ho Shin South Korea
Jean Calleja‐Agius Malta
Stefano Cianfarani Italy
Tuncay Delibaşı Türkiye
Jianhong Zhou China
Tomi S. Mikkola Finland
Tiziana Russo Italy
Ho-Seong Kim South Korea
Kürşad Ünlühızarcı Türkiye
Tak Kim relative to Błażej Męczekalski Poland Błażej Męczekalski's profile →
Citations per field
00.5×2.6×
Błażej Męczekalski · 1×
Citations per year

Countries citing papers authored by Tak Kim

Since Specialization
Citations

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

Fields of papers citing papers by Tak Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008150
2 2009128
3 2013117
4 200997
5 200779
6 201779
7 200976
8 202171
9 202069
10 201966
11 201866
12 201260
13 200848
14 200846
15 200746
16 200346
17 200945
18 201442
19 201239
20 201137

About Tak Kim

Tak Kim is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism, Epidemiology and Obstetrics and Gynecology, having authored 125 papers that have together received 2.7k indexed citations. Recurring topics across this work include Ovarian function and disorders (21 papers), Reproductive Biology and Fertility (15 papers), Menopause: Health Impacts and Treatments (14 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers), Ectopic Pregnancy Diagnosis and Management (6 papers), Cervical Cancer and HPV Research (6 papers), Assisted Reproductive Technology and Twin Pregnancy (6 papers) and Endometriosis Research and Treatment (6 papers). The work is most often cited by research in Reproductive Medicine (611 citations), Obstetrics and Gynecology (221 citations), Endocrinology, Diabetes and Metabolism (397 citations), Public Health, Environmental and Occupational Health (542 citations) and Endocrine and Autonomic Systems (105 citations). Tak Kim has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Jung‐Ho Shin, Jun Young Hur, Geum Joon Cho, Sun Haeng Kim, Kyu Wan Lee, Sanghoon Lee, Kyong Wook Yi, Jae Yun Song, Soon–Cheol Hong and Ki Hoon Ahn. Their work appears in journals such as Menopause The Journal of The North American Menopause Society, Journal of Minimally Invasive Gynecology, Maturitas, International Journal of Molecular Sciences and Fertility and Sterility.

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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