Mina Yang

36 papers receiving 992 citations

Peers

Mina Yang
Comparison fields: 5 of 101
  • Biotechnology 161
  • Genetics 339
  • Molecular Biology 494
  • Ecology 174
  • Clinical Biochemistry 39
Replace Giovanna Valentini with:
Giovanna Valentini Italy
Toshihiko Ando Japan
Norimasa Tamehiro Japan
Takafumi Watanabe Japan
Andrea Wagner Germany
Wayne L. Ryan United States
H. Preiser United States
Teresa A. Phillips United States
Jyoti Sharma India
Mina Yang relative to Giovanna Valentini Italy Giovanna Valentini's profile →
Citations per field
00.5×5.6×
Giovanna Valentini · 1×
Citations per year

Countries citing papers authored by Mina Yang

Since Specialization
Citations

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

Fields of papers citing papers by Mina Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984235
2 1981158
3 1988135
4 198693
5 202382
6
Systemic absorption of insulin delivered topically to the rat eye.
199138
7 201934
8 202032
9 202228
10 201927
11 201825
12 201422
13 201521
14 201519
15 200416
16 201616
17 201515
18 201713
19 202312
20 201912

About Mina Yang

Mina Yang is a scholar working on Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism, Physiology and Cardiology and Cardiovascular Medicine, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (3 papers), Platelet Disorders and Treatments (3 papers), Bacterial Genetics and Biotechnology (3 papers), Renal Transplantation Outcomes and Treatments (2 papers), Renin-Angiotensin System Studies (2 papers), Hormonal Regulation and Hypertension (2 papers), Adipose Tissue and Metabolism (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). The work is most often cited by research in Biotechnology (161 citations), Genetics (339 citations), Molecular Biology (494 citations), Ecology (174 citations) and Clinical Biochemistry (39 citations). Mina Yang has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include E Ferrari, Dennis J. Henner, James Bonner, Thomas D. Sargent, Carlotta A. Glackin, Junling Liu, Yanyan Xu, Jong‐Won Kim, Haojie Jiang and Chang‐Seok Ki. Their work appears in journals such as Annals of Laboratory Medicine, Journal of Bacteriology, Frontiers in Pharmacology, The Journal of Heart and Lung Transplantation and Biochemical and Biophysical Research Communications.

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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