JH Yang

1.3k citations
6 papers · 1.2k · 2 hit papers · h-index 5

Impact in

Papers in

JH Yang

6 papers receiving 1.1k citations

JH Yang's Hit Papers

Relation between plasma leptin concentration and body fat, gender, diet, age, and metabolic covariates. 1996 · 561 citations
5610+10+21Years since publication100200300400500

Peers

JH Yang
Comparison fields: 5 of 85
  • Endocrine and Autonomic Systems 408
  • Genetics 217
  • Nutrition and Dietetics 163
  • Urology 53
  • Physiology 209
Replace Eva Becher with:
Eva Becher Germany
M. Rocı́o Sierra-Honigmann United States
Kyoko Oka Japan
Takashi Iezaki Japan
Insun Song South Korea
Jonathan W. Lowery United States
Mariasevera Di Comite Italy
Takeshi Shono Japan
Ya‐Gang Xie Canada
JH Yang relative to Eva Becher Germany Eva Becher's profile →
Citations per field
00.5×2.9×
Eva Becher · 1×
Citations per year

Countries citing papers authored by JH Yang

Since Specialization
Citations

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

Fields of papers citing papers by JH Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside JH 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 JH Yang Line = papers co-authored together JH Yang links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
Relation between plasma leptin concentration and body fat, gender, diet, age, and metabolic covariates.
Hit paper breakdown →
1996561
2
Differentiation of human bone marrow osteogenic stromal cells in vitro: induction of the osteoblast phenotype by dexamethasone.
Hit paper breakdown →
1994557
3 201416
4 198913
5 19876
6 19942

About JH Yang

JH Yang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism, Nephrology and Endocrine and Autonomic Systems, having authored 6 papers that have together received 1.2k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (2 papers), Ion channel regulation and function (2 papers), Bone health and treatments (1 paper), Neuroscience and Neural Engineering (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Neurobiology and Insect Physiology Research (1 paper), Plant and Biological Electrophysiology Studies (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (408 citations), Genetics (217 citations), Nutrition and Dietetics (163 citations), Urology (53 citations) and Physiology (209 citations). JH Yang has collaborated with scholars based in United States and Spain. Frequent co-authors include Richard E. Ostlund, Ronald L. Gingerich, Samuel Klein, Shi Cheng, Leonard Rifas, Louis V. Avioli, C. F. Zorumski, Adriana Dusso, Elvira Fernández and Jørgen Johansen. Their work appears in journals such as Endocrinology, Nephrology Dialysis Transplantation, Molecular Endocrinology, The Journal of Clinical Endocrinology & Metabolism and Brain Research.

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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