Hee‐Chang Mun

1.5k citations
27 papers · 1.1k · 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 1.1k citations

Peers

Hee‐Chang Mun
Comparison fields: 5 of 83
  • Nephrology 406
  • Endocrine and Autonomic Systems 175
  • Nutrition and Dietetics 309
  • Sensory Systems 74
  • Cellular and Molecular Neuroscience 171
Replace Kimberly Rogers with:
Kimberly Rogers United States
Andrea Calixto Chile
Akihiko Miyanoshita Japan
William B. Rhoten United States
Shaohu Sheng United States
Peying Fong United States
Carol Asher Israel
Ivana Y. Kuo United States
Sabine Scarzello France
Qiusheng Tong United States
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Citations per field
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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 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016190
2 2019160
3 200490
4 200482
5 201081
6 200553
7 200752
8 200749
9 201246
10 200435
11 200735
12 200334
13 201531
14 201029
15 200528
16 201322
17 201521
18 201815
19 200913
20 201913

About Hee‐Chang Mun

Hee‐Chang Mun is a scholar working on Molecular Biology, Nephrology, Nutrition and Dietetics, Cellular and Molecular Neuroscience and Physiology, having authored 27 papers that have together received 1.1k 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), Erythrocyte Function and Pathophysiology (4 papers) and Regulation of Appetite and Obesity (4 papers). The work is most often cited by research in Nephrology (406 citations), Endocrine and Autonomic Systems (175 citations), Nutrition and Dietetics (309 citations), Sensory Systems (74 citations) and Cellular and Molecular Neuroscience (171 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, Patricia P. Centeno, Chia‐Ling Tu and K. Krapcho. Their work appears in journals such as Journal of Biological Chemistry, Endocrinology, Journal of Nutrition, The Journal of Clinical Endocrinology & Metabolism and Biochemical Society Transactions.

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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