Sun A Ock

586 citations
50 papers · 478 · h-index 13

Impact in

Papers in

    • Xenotransplantation and immune response 13
    • Tissue Engineering and Regenerative Medicine 7
    • Organ Transplantation Techniques and Outcomes 5
    • Pluripotent Stem Cells Research 8

Sun A Ock

46 papers receiving 467 citations

Peers

Sun A Ock
Comparison fields: 5 of 70
  • Reproductive Medicine 98
  • Aging 15
  • Public Health, Environmental and Occupational Health 211
  • Developmental Neuroscience 14
  • Genetics 99
Replace Elena M. Kaftanovskaya with:
Elena M. Kaftanovskaya United States
Seung‐Bin Yoon South Korea
A Fidanza United Kingdom
Yanan Hai China
Lian Cai South Korea
Yumi Hoshino Japan
Seunghoon Lee South Korea
Xueyan Lu China
Xi‐Jun Yin China
Wen‐Juan Wang China
Sun A Ock relative to Elena M. Kaftanovskaya United States Elena M. Kaftanovskaya's profile →
Citations per field
00.5×7.5×
Elena M. Kaftanovskaya · 1×
Citations per year

Countries citing papers authored by Sun A Ock

Since Specialization
Citations

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

Fields of papers citing papers by Sun A Ock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sun A Ock. 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 Sun A Ock. The network helps show where Sun A Ock may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200772
2 202046
3 201538
4 200329
5 201926
6 201022
7 201322
8 201921
9 201720
10 202215
11 202013
12 201813
13 202112
14 202111
15 201311
16 20128
17 20218
18 20167
19 20227
20 20046

About Sun A Ock

Sun A Ock is a scholar working on Surgery, Molecular Biology, Genetics, Public Health, Environmental and Occupational Health and Genetics, having authored 50 papers that have together received 478 indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (18 papers), Reproductive Biology and Fertility (15 papers), Xenotransplantation and immune response (13 papers), Pluripotent Stem Cells Research (8 papers), Tissue Engineering and Regenerative Medicine (7 papers), Mesenchymal stem cell research (7 papers), Liver physiology and pathology (5 papers) and Organ Transplantation Techniques and Outcomes (5 papers). The work is most often cited by research in Reproductive Medicine (98 citations), Aging (15 citations), Public Health, Environmental and Occupational Health (211 citations), Developmental Neuroscience (14 citations) and Genetics (99 citations). Sun A Ock has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Xiang‐Shun Cui, Gyu‐Jin Rho, S.Y. Choe, Yingjie Niu, S. Balasubramanian, Zheng‐Wen Nie, Jae Gyu Yoo, B. Mohana Kumar, Gi‐Sun Im and Wenjun Zhou. Their work appears in journals such as Reproduction Fertility and Development, Animal Cells and Systems, International Journal of Molecular Sciences, Theriogenology and Aging.

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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