Won‐Hee Song

20 papers receiving 389 citations

Peers

Won‐Hee Song
Comparison fields: 5 of 66
  • Reproductive Medicine 176
  • Health, Toxicology and Mutagenesis 111
  • Physiology 22
  • Public Health, Environmental and Occupational Health 137
  • Cancer Research 53
Replace Cristián Sobarzo with:
Cristián Sobarzo Argentina
Joana Santiago Portugal
Vertika Singh India
Mariagrazia Gallo Italy
Gaynor C. Wild United States
Thi Mong Diep Nguyen France
Won‐Ki Pang South Korea
Nathália de Lima e Martins Lara Brazil
Elsayed A. Mohamed Egypt
Habib A. Shojaei Saadi Canada
Won‐Hee Song relative to Cristián Sobarzo Argentina Cristián Sobarzo's profile →
Citations per field
00.5×1.7×
Cristián Sobarzo · 1×
Citations per year

Countries citing papers authored by Won‐Hee Song

Since Specialization
Citations

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

Fields of papers citing papers by Won‐Hee Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201079
2 201950
3 201443
4 201136
5 201932
6 201818
7 201818
8 201418
9 201916
10 201816
11 201715
12 201913
13 201811
14 20188
15 20217
16 20206
17 20234
18 20234
19 20193
20 20172

About Won‐Hee Song

Won‐Hee Song is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine, Molecular Biology, Epidemiology and Health, Toxicology and Mutagenesis, having authored 20 papers that have together received 399 indexed citations. Recurring topics across this work include Sperm and Testicular Function (11 papers), Reproductive Biology and Fertility (11 papers), Ubiquitin and proteasome pathways (5 papers), Autophagy in Disease and Therapy (5 papers), Effects and risks of endocrine disrupting chemicals (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers), Epigenetics and DNA Methylation (3 papers) and Reproductive biology and impacts on aquatic species (2 papers). The work is most often cited by research in Reproductive Medicine (176 citations), Health, Toxicology and Mutagenesis (111 citations), Physiology (22 citations), Public Health, Environmental and Occupational Health (137 citations) and Cancer Research (53 citations). Won‐Hee Song has collaborated with scholars based in South Korea, United States and Australia. Frequent co-authors include Myung‐Geol Pang, Peter Šutovský, Md Saidur Rahman, Do‐Yeal Ryu, Won‐Ki Pang, Young‐Ah You, Young‐Joo Yi, Yoo-Jin Park, J. William O. Ballard and Elsayed A. Mohamed. Their work appears in journals such as Theriogenology, Scientific Reports, Reproduction Fertility and Development, Reproductive Toxicology and eLife.

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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