Hee‐Chang Mun

1.5k citations
28 papers · 1.2k · h-index 17

Impact in

Papers in

    • Ion channel regulation and function 7
    • Ion Transport and Channel Regulation 5
    • Metabolism, Diabetes, and Cancer 4
    • Parathyroid Disorders and Treatments 11

Hee‐Chang Mun

26 papers receiving 1.2k citations

Peers

Hee‐Chang Mun
Comparison fields: 5 of 85
  • Nephrology 475
  • Endocrine and Autonomic Systems 173
  • Nutrition and Dietetics 298
  • Sensory Systems 75
  • Cellular and Molecular Neuroscience 175
Replace Andrea Calixto with:
Andrea Calixto Chile
Akihiko Miyanoshita Japan
Shaohu Sheng United States
Carol Asher Israel
Ivana Y. Kuo United States
Qiusheng Tong United States
Sabine Scarzello France
Lisa M. H. Helms United States
Bernd Püschel Germany
Stephen W. Jones United States
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Citations per field
00.5×7.8×
Andrea Calixto · 1×
Citations per year

Countries citing papers authored by Hee‐Chang Mun

Since Specialization
Citations

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

Fields of papers citing papers by Hee‐Chang Mun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hee‐Chang Mun. 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 Hee‐Chang Mun. The network helps show where Hee‐Chang Mun may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016210
2 2019176
3 2004101
4 200489
5 201087
6 200557
7 200754
8 200754
9 201251
10 200741
11 200438
12 200336
13 201531
14 201031
15 200530
16 201324
17 201521
18 201216
19 201815
20 200914

About Hee‐Chang Mun

Hee‐Chang Mun is a scholar working on Molecular Biology, Nephrology, Cellular and Molecular Neuroscience, Nutrition and Dietetics and Physiology, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include Parathyroid Disorders and Treatments (11 papers), Ion channel regulation and function (7 papers), Biochemical Analysis and Sensing Techniques (6 papers), Ion Transport and Channel Regulation (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Metabolism, Diabetes, and Cancer (4 papers), Regulation of Appetite and Obesity (4 papers) and Erythrocyte Function and Pathophysiology (4 papers). The work is most often cited by research in Nephrology (475 citations), Endocrine and Autonomic Systems (173 citations), Nutrition and Dietetics (298 citations), Sensory Systems (75 citations) and Cellular and Molecular Neuroscience (175 citations). Hee‐Chang Mun has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Arthur D. Conigrave, Leigh Delbridge, Edward F. Nemeth, Alison H. Franks, Sarah C. Brennan, Donald T. Ward, Margaret Wilkinson, Chia‐Ling Tu, Patricia P. Centeno and Wenhan Chang. Their work appears in journals such as Journal of Biological Chemistry, Journal of Nutrition, Endocrinology, The Journal of Clinical Endocrinology & Metabolism and Clinical Endocrinology.

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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