Seok‐Mo Kim

2.1k citations
101 papers · 1.5k · h-index 22

Impact in

Papers in

Seok‐Mo Kim

92 papers receiving 1.5k citations

Peers

Seok‐Mo Kim
Comparison fields: 5 of 86
  • Obstetrics and Gynecology 411
  • Endocrinology, Diabetes and Metabolism 508
  • Reproductive Medicine 141
  • Health Informatics 17
  • Surgery 302
Replace Paul N. Staats with:
Paul N. Staats United States
Mahesh Parmar United Kingdom
A Kondi-Pafiti Greece
Kwang‐Sun Suh South Korea
Eun Yoon Cho South Korea
Mu-Hsien Yu Taiwan
Luigi Celio Italy
Luca Fuso Italy
Katarzyna J. Jerzak Canada
Seok‐Mo Kim relative to Paul N. Staats United States Paul N. Staats's profile →
Citations per field
00.5×10.2×
Paul N. Staats · 1×
Citations per year

Countries citing papers authored by Seok‐Mo Kim

Since Specialization
Citations

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

Fields of papers citing papers by Seok‐Mo Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012102
2 2002100
3 201476
4 202159
5 200958
6 201349
7
Resveratrol inhibits tumor cell adhesion to endothelial cells by blocking ICAM-1 expression.
200947
8 201046
9 201044
10 201541
11 201539
12 201837
13 201934
14 202034
15 201727
16 202023
17 200823
18 200923
19 202222
20 201422

About Seok‐Mo Kim

Seok‐Mo Kim is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Obstetrics and Gynecology, Molecular Biology and Oncology, having authored 101 papers that have together received 1.5k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (42 papers), Thyroid and Parathyroid Surgery (23 papers), Endometrial and Cervical Cancer Treatments (10 papers), Head and Neck Anomalies (8 papers), Ovarian cancer diagnosis and treatment (7 papers), Cancer-related Molecular Pathways (5 papers), Cancer Mechanisms and Therapy (3 papers) and Ferroptosis and cancer prognosis (3 papers). The work is most often cited by research in Obstetrics and Gynecology (411 citations), Endocrinology, Diabetes and Metabolism (508 citations), Reproductive Medicine (141 citations), Health Informatics (17 citations) and Surgery (302 citations). Seok‐Mo Kim has collaborated with scholars based in South Korea, United States and Türkiye. Frequent co-authors include Hang‐Seok Chang, Yong Sang Lee, Bup‐Woo Kim, Cheong Soo Park, Hojin Chang, Soo Young Kim, Jong‐Min Lee, Jae‐Weon Kim, Jae Kwan Lee and Chi‐Heum Cho. Their work appears in journals such as Gynecologic Oncology, Cancers, Frontiers in Endocrinology, International Journal of Molecular Sciences and ANZ Journal of Surgery.

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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