Sungmi Park

38 papers receiving 1.0k citations

Peers

Sungmi Park
Comparison fields: 5 of 110
  • Biochemistry 129
  • Nephrology 106
  • Clinical Biochemistry 71
  • Biological Psychiatry 22
  • Endocrinology, Diabetes and Metabolism 147
Replace Chae‐Myeong Ha with:
Chae‐Myeong Ha United States
Dongming Su China
Yaowen Fu China
Hiroe Toba Japan
Sachiko Hattori Japan
Souad Belmadani United States
Yuliya Mikhed Germany
Agnès Sassolas France
Satoru Tatematsu Japan
Yongjun Cao China
Sungmi Park relative to Chae‐Myeong Ha United States Chae‐Myeong Ha's profile →
Citations per field
00.5×1.5×1.9×
Chae‐Myeong Ha · 1×
Citations per year

Countries citing papers authored by Sungmi Park

Since Specialization
Citations

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

Fields of papers citing papers by Sungmi Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018142
2 201686
3 201480
4 200973
5 201570
6 201465
7 201757
8 201955
9 201550
10 201445
11 201638
12 201533
13 201031
14 201224
15 200824
16 201921
17 200716
18 201615
19 201313
20 200712

About Sungmi Park

Sungmi Park is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Physiology and Immunology, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (11 papers), Hormonal Regulation and Hypertension (6 papers), Cancer, Hypoxia, and Metabolism (4 papers), Nitric Oxide and Endothelin Effects (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Adipose Tissue and Metabolism (3 papers), ATP Synthase and ATPases Research (3 papers) and Biochemical Acid Research Studies (3 papers). The work is most often cited by research in Biochemistry (129 citations), Nephrology (106 citations), Clinical Biochemistry (71 citations), Biological Psychiatry (22 citations) and Endocrinology, Diabetes and Metabolism (147 citations). Sungmi Park has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include In‐Kyu Lee, Jae‐Han Jeon, Lisa M. Harrison‐Bernard, Chae‐Myeong Ha, Chang Joo Oh, Keun‐Gyu Park, Nam Ho Jeoung, Themis Thoudam, Byong-Keol Min and Udayakumar Karunakaran. Their work appears in journals such as American Journal of Physiology-Renal Physiology, Hypertension, Experimental & Molecular Medicine, Scientific Reports and Vascular Pharmacology.

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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