Tae Jin Kim

2.7k citations
94 papers · 1.9k indexed · h-index 26

Tae Jin Kim

89 papers receiving 1.8k citations

Peers

Tae Jin Kim
Comparison fields: 5 of 118
  • Reproductive Medicine 554
  • Obstetrics and Gynecology 463
  • Microbiology 136
  • Epidemiology 629
  • Immunology 285
Replace Michael Rodriguez with:
Michael Rodriguez United States
Hajime Sugimori Japan
Mehdi Benchaïb France
Subbi Mathur United States
Vũ Quốc Huy Nguyễn Vietnam
Gordana Laškarin Croatia
Maria Isabel Albano Edelweiss Brazil
Sung Ki Lee South Korea
Kezhen Li China
Fortunato Vesce Italy
Tae Jin Kim relative to Michael Rodriguez United States Michael Rodriguez's profile →
Citations per field
00.5×3.9×
Michael Rodriguez · 1×
Citations per year

Countries citing papers authored by Tae Jin Kim

Since Specialization
Citations

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

Fields of papers citing papers by Tae Jin Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 202414
3 20233
4 20223
5 20225
6 20202
7 202040
8 201983
9 201936
10 201910
11 201930
12 201853
13
Clinicopathologic study of ovarian granulosa cell tumors
20090
14
Effects of Acupuncture on Dysphagia of Stroke Patients
20081
15 200778
16
Study of Factors that Influence Sentinel Lymph Node Identification and Detection Rate in Cervical Cancer of Uterus.
20051
17
Antioxidant Vitamins Intake and Antioxidant System in Exfoliated Cervicovaginal Cells of the Patient with Cervical Intraepithelial Neoplasia.
20041
18
Clinico-pathologic Profiles and 5-year Survival Rate of 2209 Patients with Invasive Cancer of the Uterine Cervix
20031
19
Clinical diversity of struma ovarii
200212
20 199966

About Tae Jin Kim

Tae Jin Kim is a scholar working on Obstetrics and Gynecology, Reproductive Medicine and Microbiology, having authored 94 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (29 papers), Endometrial and Cervical Cancer Treatments (25 papers), Ovarian cancer diagnosis and treatment (24 papers), Reproductive tract infections research (9 papers), Endometriosis Research and Treatment (9 papers), Uterine Myomas and Treatments (7 papers), Genital Health and Disease (6 papers) and Cancer-related molecular mechanisms research (6 papers). The work is most often cited by research in Reproductive Medicine (554 citations), Obstetrics and Gynecology (463 citations) and Microbiology (136 citations). Tae Jin Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include In-Ho Lee, Sung Ran Hong, Kyeong A So, Jae Kwan Lee, Ki Heon Lee, Chi‐Heum Cho, Jong Sup Park, Yu‐Jin Koo, Jung‐Hye Choi and Jae‐Weon Kim. Their work appears in journals such as Nature Communications, PLoS ONE and Cancer 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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