Won‐Ki Pang

31 papers receiving 530 citations

Peers

Won‐Ki Pang
Comparison fields: 5 of 74
  • Reproductive Medicine 184
  • Health, Toxicology and Mutagenesis 290
  • Cancer Research 87
  • Small Animals 37
  • Pollution 56
Replace Do‐Yeal Ryu with:
Do‐Yeal Ryu South Korea
Alžbeta Bujňáková Mlynarčíková Slovakia
Sung‐Jae Yoon South Korea
Zuzana Kňažická Slovakia
N. Fiandanese Italy
June-Sub Lee South Korea
Marina Trevizan Guerra Brazil
Fatima Elzeinová Czechia
Nikola Sekulovski United States
Tereza Žalmanová Czechia
Won‐Ki Pang relative to Do‐Yeal Ryu South Korea Do‐Yeal Ryu's profile →
Citations per field
00.5×1.5×
Do‐Yeal Ryu · 1×
Citations per year

Countries citing papers authored by Won‐Ki Pang

Since Specialization
Citations

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

Fields of papers citing papers by Won‐Ki Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won‐Ki Pang. 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 Won‐Ki Pang. The network helps show where Won‐Ki Pang may publish in the future.

Co-authors

The 21 scholars most cited alongside Won‐Ki Pang, 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 Won‐Ki Pang Line = papers co-authored together Won‐Ki Pang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202076
2 202151
3 201950
4 202234
5 201932
6 202026
7 202222
8 202322
9 202319
10 202018
11 201818
12 202117
13 202217
14 201916
15 201816
16 202015
17 202214
18 201913
19 202210
20 202210

About Won‐Ki Pang

Won‐Ki Pang is a scholar working on Reproductive Medicine, Health, Toxicology and Mutagenesis, Public Health, Environmental and Occupational Health, Genetics and Molecular Biology, having authored 33 papers that have together received 541 indexed citations. Recurring topics across this work include Sperm and Testicular Function (19 papers), Effects and risks of endocrine disrupting chemicals (15 papers), Reproductive Biology and Fertility (14 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers), Carcinogens and Genotoxicity Assessment (6 papers), Immunotoxicology and immune responses (5 papers), Animal testing and alternatives (4 papers) and Molecular Biology Techniques and Applications (3 papers). The work is most often cited by research in Reproductive Medicine (184 citations), Health, Toxicology and Mutagenesis (290 citations), Cancer Research (87 citations), Small Animals (37 citations) and Pollution (56 citations). Won‐Ki Pang has collaborated with scholars based in South Korea, France and United States. Frequent co-authors include Myung‐Geol Pang, Md Saidur Rahman, Do‐Yeal Ryu, Yoo-Jin Park, Elikanah Olusayo Adegoke, Won‐Hee Song, Buom‐Yong Ryu, Kyuho Kang, Sarder Arifuzzaman and Sung‐Jae Yoon. Their work appears in journals such as Theriogenology, Ecotoxicology and Environmental Safety, Scientific Reports, Journal of Animal Science and Biotechnology and Toxicology.

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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