Jin Tae

406 citations
15 papers · 330 indexed · h-index 11
Topics
Reproductive Biology and Fertility (5 papers)Sperm and Testicular Function (4 papers)Pluripotent Stem Cells Research (3 papers)
Partner nations
South KoreaUnited States

In The Last Decade

Jin Tae

14 papers receiving 311 citations

Peers

Jin Tae
Comparison fields: 5 of 71
  • Molecular Biology 151
  • Public Health, Environmental and Occupational Health 119
  • Reproductive Medicine 83
  • Plant Science 68
  • Genetics 42
Replace G. Vichera with:
G. Vichera Argentina
Xiuwen Tan China
Xiaolei Yao China
Sarah Alves Auharek Brazil
Hyun-Seo Lee South Korea
In‐Sun Hwang South Korea
Muhammad Idrees South Korea
Changquan Guo China
Natalie I. Alexopoulos Australia
Rasoul Shahrooz Iran
Jin Tae relative to G. Vichera Argentina G. Vichera's profile →
Citations per field
00.5×1.5×2.3×
G. Vichera · 1×
Citations per year

Countries citing papers authored by Jin Tae

Since Specialization
Citations

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

Fields of papers citing papers by Jin Tae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Tae

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Tae. A scholar is included among the top collaborators of Jin Tae based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jin Tae. Jin Tae is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 15
2 35
3 11
4
Administration of Aqueous Extract of Schizandra chinensis Fruit Inhibits the Experimental Colitis in Mice
2
5 15
6
Effects of Cynanchum spp. on the hyperlipidemia in rats induced by Triton WR-1339
3
7
Suppression of Cyclooxygenase-2 Expression in Colonic Epithelial Cells by Ilekudinol B Isolated from Weigela subsessilis
1
8 90
9 19
10 15
11 11
12 1
13 27
14 42
15 43

About Jin Tae

Jin Tae is a scholar working on Reproductive Medicine, Genetics and Hematology, having authored 15 papers that have together received 330 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (5 papers), Sperm and Testicular Function (4 papers) and Pluripotent Stem Cells Research (3 papers). The work is most often cited by research in Reproductive Medicine (83 citations), Biochemistry (30 citations) and Public Health, Environmental and Occupational Health (119 citations). Jin Tae has collaborated with scholars based in South Korea and United States. Frequent co-authors include Eun‐Young Kim, Won Don Lee, Jin Ho Lim, Dae‐Ki Kim, Nam Hyung Kim, Jina Kim, Yong‐Ho Nah, Seung Woo Han, Young-Mi Lee and Ok‐Hwa Kang. Their work appears in journals such as Clinica Chimica Acta, Stem Cells and Development and Animal Reproduction Science.

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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