Jin-Ki Park

1.2k citations
66 papers · 998 · h-index 16

Impact in

Papers in

    • Pluripotent Stem Cells Research 9
    • CRISPR and Genetic Engineering 8
    • Animal Genetics and Reproduction 18
    • Virus-based gene therapy research 7

Jin-Ki Park

63 papers receiving 969 citations

Peers

Jin-Ki Park
Comparison fields: 5 of 124
  • Reproductive Medicine 138
  • Genetics 201
  • Public Health, Environmental and Occupational Health 166
  • Physiology 23
  • Molecular Biology 329
Replace Mingjun Liu with:
Mingjun Liu China
T. Fujii Japan
Xiaolong Wu China
Xueling Li China
Jun‐Yu Ma China
Thomas H. Umbreit United States
Ye Yuan United States
Dongmei Tian China
Jin-Ki Park relative to Mingjun Liu China Mingjun Liu's profile →
Citations per field
00.5×3.9×
Mingjun Liu · 1×
Citations per year

Countries citing papers authored by Jin-Ki Park

Since Specialization
Citations

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

Fields of papers citing papers by Jin-Ki Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014142
2 200685
3 201583
4 201479
5 201554
6 201353
7 200853
8 201136
9 200427
10 201527
11 201326
12 201325
13 201222
14 201017
15 201815
16 201315
17 200915
18 201314
19 202214
20 201212

About Jin-Ki Park

Jin-Ki Park is a scholar working on Molecular Biology, Genetics, Public Health, Environmental and Occupational Health, Surgery and Reproductive Medicine, having authored 66 papers that have together received 998 indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (18 papers), Reproductive Biology and Fertility (14 papers), Pluripotent Stem Cells Research (9 papers), Xenotransplantation and immune response (8 papers), Sperm and Testicular Function (8 papers), CRISPR and Genetic Engineering (8 papers), Virus-based gene therapy research (7 papers) and Remote Sensing in Agriculture (6 papers). The work is most often cited by research in Reproductive Medicine (138 citations), Genetics (201 citations), Public Health, Environmental and Occupational Health (166 citations), Physiology (23 citations) and Molecular Biology (329 citations). Jin-Ki Park has collaborated with scholars based in South Korea, Japan and Nigeria. Frequent co-authors include Jin‐Hoi Kim, Sangiliyandi Gurunathan, Deug‐Nam Kwon, Jae Woong Han, Yun‐Jung Choi, Amrita Das, Jae‐Kyo Jeong, Hyuk Song, Won-Kyong Chang and Chankyu Park. Their work appears in journals such as Theriogenology, Journal of Reproduction and Development, BMB Reports, Biochemical and Biophysical Research Communications and Acta Histochemica.

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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