Seung‐Kwon Yang

472 citations
14 papers · 370 · h-index 11

Impact in

Papers in

Seung‐Kwon Yang

14 papers receiving 362 citations

Peers

Seung‐Kwon Yang
Comparison fields: 5 of 71
  • Endocrine and Autonomic Systems 115
  • Sensory Systems 43
  • Physiology 109
  • Endocrinology, Diabetes and Metabolism 67
  • Pulmonary and Respiratory Medicine 105
Replace Chantal Hausser‐Hauw with:
Chantal Hausser‐Hauw France
Judith A. Kaye United States
Ann T. Hanna‐Mitchell United States
Maria Bäckström Finland
Mario Fabiani Italy
Donald B. Jennings Canada
H. D. Allescher Canada
B Lichardus Slovakia
Ryo Oikawa Japan
Seung‐Kwon Yang relative to Chantal Hausser‐Hauw France Chantal Hausser‐Hauw's profile →
Citations per field
00.5×5.4×
Chantal Hausser‐Hauw · 1×
Citations per year

Countries citing papers authored by Seung‐Kwon Yang

Since Specialization
Citations

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

Fields of papers citing papers by Seung‐Kwon Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201468
2 201358
3 201240
4 201833
5 201131
6 200530
7 201424
8 200819
9 200719
10 201414
11 200713
12 20128
13 20217
14 20236

About Seung‐Kwon Yang

Seung‐Kwon Yang is a scholar working on Endocrine and Autonomic Systems, Molecular Biology, Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism and Epidemiology, having authored 14 papers that have together received 370 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (4 papers), Neuroscience of respiration and sleep (4 papers), Respiratory and Cough-Related Research (4 papers), Regulation of Appetite and Obesity (3 papers), Ion channel regulation and function (2 papers), Pluripotent Stem Cells Research (2 papers), Neuroendocrine Tumor Research Advances (2 papers) and Infant Health and Development (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (115 citations), Sensory Systems (43 citations), Physiology (109 citations), Endocrinology, Diabetes and Metabolism (67 citations) and Pulmonary and Respiratory Medicine (105 citations). Seung‐Kwon Yang has collaborated with scholars based in Australia, United States and France. Frequent co-authors include Chen Chen, Stuart B. Mazzone, Alice E. McGovern, Michael J. Farrell, Helena C. Parkington, Jacques Epelbaum, Nicholas Davis‐Poynter, David G. Simmons, Damien J. Keating and Simon Phipps. Their work appears in journals such as Endocrinology, APL Bioengineering, Marine Pollution Bulletin, Frontiers in Physiology and Clinical and Experimental Pharmacology and Physiology.

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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