Seul‐Gi Yang

32 papers receiving 409 citations

Peers

Seul‐Gi Yang
Comparison fields: 5 of 69
  • Reproductive Medicine 113
  • Aging 20
  • Public Health, Environmental and Occupational Health 211
  • Endocrine and Autonomic Systems 34
  • Health, Toxicology and Mutagenesis 47
Replace Zheng‐Wen Nie with:
Zheng‐Wen Nie South Korea
Zhen‐Nan Pan China
Xiaoxin Dai China
Kyung‐Tae Shin South Korea
Anukul Taweechaipaisankul South Korea
Zhengjie Yan China
Xupeng Xing China
Yajuan Lu China
Pallavi Shukla India
Anumegha Gupta India
Seul‐Gi Yang relative to Zheng‐Wen Nie South Korea Zheng‐Wen Nie's profile →
Citations per field
00.5×1.5×
Zheng‐Wen Nie · 1×
Citations per year

Countries citing papers authored by Seul‐Gi Yang

Since Specialization
Citations

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

Fields of papers citing papers by Seul‐Gi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seul‐Gi Yang. 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 Seul‐Gi Yang. The network helps show where Seul‐Gi Yang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201783
2 201873
3 201860
4 202125
5 201725
6 202016
7 201714
8 201713
9 202013
10 202111
11 20229
12 20178
13 20248
14 20198
15 20207
16 20236
17 20195
18 20234
19 20203
20 20213

About Seul‐Gi Yang

Seul‐Gi Yang is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Surgery, Pediatrics, Perinatology and Child Health and Aging, having authored 32 papers that have together received 413 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (21 papers), Mitochondrial Function and Pathology (6 papers), Pluripotent Stem Cells Research (5 papers), Birth, Development, and Health (4 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Effects and risks of endocrine disrupting chemicals (3 papers) and Organ Transplantation Techniques and Outcomes (3 papers). The work is most often cited by research in Reproductive Medicine (113 citations), Aging (20 citations), Public Health, Environmental and Occupational Health (211 citations), Endocrine and Autonomic Systems (34 citations) and Health, Toxicology and Mutagenesis (47 citations). Seul‐Gi Yang has collaborated with scholars based in South Korea. Frequent co-authors include Hyo‐Jin Park, Deog‐Bon Koo, Jaemin Jung, Sun‐Uk Kim, Gabbine Wee, In‐Su Kim, Man‐Jong Kang, Minji Kim, Min‐Ji Kim and Bong‐Seok Song. Their work appears in journals such as International Journal of Molecular Sciences, Reproduction Fertility and Development, Journal of Pineal Research, Scientific Reports and Food and Chemical 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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