Ming‐Chia Hsieh

1.9k citations
76 papers · 1.5k indexed · h-index 24
Topics
Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers)Diabetes Treatment and Management (9 papers)Nitric Oxide and Endothelin Effects (8 papers)
Partner nations
TaiwanChinaUnited States

In The Last Decade

Ming‐Chia Hsieh

75 papers receiving 1.5k citations

Peers

Ming‐Chia Hsieh
Comparison fields: 5 of 113
  • Endocrinology, Diabetes and Metabolism 449
  • Molecular Biology 434
  • Physiology 286
  • Cardiology and Cardiovascular Medicine 284
  • Surgery 274
Replace Jeannie Yip with:
Jeannie Yip United Kingdom
Itamar Grosskopf Israel
Kari E. Wong United States
Bon Jeong Ku South Korea
Richard Firth Ireland
Antonio Barbato Italy
Yu Hu China
Hermes Vieira Barbeiro Brazil
Weiqiong Gu China
José D. Torres‐Peña Spain
Ming‐Chia Hsieh relative to Jeannie Yip United Kingdom Jeannie Yip's profile →
Citations per field
00.5×20×40×63×
Jeannie Yip · 1×
Citations per year

Countries citing papers authored by Ming‐Chia Hsieh

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Chia Hsieh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Chia Hsieh. 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 Ming‐Chia Hsieh. The network helps show where Ming‐Chia Hsieh may publish in the future.

Co-authorship network of co-authors of Ming‐Chia Hsieh

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Chia Hsieh. A scholar is included among the top collaborators of Ming‐Chia Hsieh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ming‐Chia Hsieh. Ming‐Chia Hsieh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 21
3 9
4 8
5 8
6 22
7 11
8 34
9 28
10 6
11 8
12 4
13 13
14 5
15 4
16 22
17 9
18 46
19 68
20 16

About Ming‐Chia Hsieh

Ming‐Chia Hsieh is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 76 papers that have together received 1.5k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers), Diabetes Treatment and Management (9 papers) and Nitric Oxide and Endothelin Effects (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (449 citations), Nephrology (139 citations) and Cardiology and Cardiovascular Medicine (284 citations). Ming‐Chia Hsieh has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Shun‐Jen Chang, Shih‐Te Tu, Jeng‐Yueh Hsiao, Shiu‐Ru Lin, Hung‐Chun Chen, Shih‐Li Su, Kai‐Jen Tien, Shyi‐Jang Shin, Yi‐Ting Hsieh and Shuyi Wang. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Diabetes.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026