Hyunwon Yang

63 papers receiving 2.1k citations

Peers

Hyunwon Yang
Comparison fields: 5 of 107
  • Endocrine and Autonomic Systems 562
  • Aging 51
  • Immunology 549
  • Physiology 586
  • Reproductive Medicine 159
Replace Louise T. Dalgaard with:
Louise T. Dalgaard Denmark
Oleg Varlamov United States
Vijay K. Yadav United States
Merly C. Vogt United States
Douglas L. Coleman United States
Ιορδάνης Καραγιαννίδης United States
Katharina Timper Switzerland
Gary D. Collins United States
Vincent Lannoy Belgium
R. Goberna Spain
Hyunwon Yang relative to Louise T. Dalgaard Denmark Louise T. Dalgaard's profile →
Citations per field
00.5×1.5×2.3×
Louise T. Dalgaard · 1×
Citations per year

Countries citing papers authored by Hyunwon Yang

Since Specialization
Citations

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

Fields of papers citing papers by Hyunwon Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010372
2 2009256
3 2007175
4 2009156
5 200882
6 200977
7 200971
8 200667
9 201463
10 198848
11 200747
12 199946
13 200845
14 200445
15 200343
16 201038
17 200936
18 200333
19 201233
20 201029

About Hyunwon Yang

Hyunwon Yang is a scholar working on Endocrine and Autonomic Systems, Physiology, Epidemiology, Immunology and Molecular Biology, having authored 67 papers that have together received 2.2k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (22 papers), Adipokines, Inflammation, and Metabolic Diseases (19 papers), Adipose Tissue and Metabolism (15 papers), Reproductive System and Pregnancy (9 papers), Biochemical Analysis and Sensing Techniques (6 papers), Reproductive Physiology in Livestock (5 papers), Neuropeptides and Animal Physiology (5 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (562 citations), Aging (51 citations), Immunology (549 citations), Physiology (586 citations) and Reproductive Medicine (159 citations). Hyunwon Yang has collaborated with scholars based in South Korea, United States and France. Frequent co-authors include Vishwa Deep Dixit, Yun‐Hee Youm, Bolormaa Vandanmagsar, Dennis D. Taub, Andrew A. Butler, Yuxiang Sun, Randall L. Mynatt, Jeffrey M. Gimble, Frank L. Greenway and Jacqueline M. Stephens. Their work appears in journals such as Peptides, The Journal of Immunology, Animal Cells and Systems, Biology of Reproduction and Blood.

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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