Hung-Ming Chang

753 citations
34 papers · 621 · h-index 16

Impact in

Papers in

Hung-Ming Chang

33 papers receiving 615 citations

Peers

Hung-Ming Chang
Comparison fields: 5 of 103
  • Endocrine and Autonomic Systems 80
  • Cellular and Molecular Neuroscience 187
  • Rehabilitation 57
  • Developmental Neuroscience 33
  • Neurology 59
Replace Daisuke Uta with:
Daisuke Uta Japan
Kuo‐Hsing Ma Taiwan
Vijay K. Samineni United States
Huiyin Tu United States
Sacha A. Malin United States
Chuan Qin China
Roselyn B. Rose’Meyer Australia
Ting He China
Suzuro Hitomi Japan
Hung-Ming Chang relative to Daisuke Uta Japan Daisuke Uta's profile →
Citations per field
00.5×1.5×2.4×
Daisuke Uta · 1×
Citations per year

Countries citing papers authored by Hung-Ming Chang

Since Specialization
Citations

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

Fields of papers citing papers by Hung-Ming Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hung-Ming Chang. 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 Hung-Ming Chang. The network helps show where Hung-Ming Chang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202073
2 201454
3 201254
4 200049
5 201339
6 201732
7 201730
8 201126
9 200825
10 201823
11 200821
12 201220
13 200119
14 201917
15 201516
16 200315
17 200713
18 201912
19 201212
20 200410

About Hung-Ming Chang

Hung-Ming Chang is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Physiology, Molecular Biology and Surgery, having authored 34 papers that have together received 621 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Neuroscience of respiration and sleep (6 papers), Nerve injury and regeneration (5 papers), Nitric Oxide and Endothelin Effects (4 papers), Pediatric Urology and Nephrology Studies (4 papers), Neuroscience and Neural Engineering (3 papers), Circadian rhythm and melatonin (3 papers) and Ion channel regulation and function (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (80 citations), Cellular and Molecular Neuroscience (187 citations), Rehabilitation (57 citations), Developmental Neuroscience (33 citations) and Neurology (59 citations). Hung-Ming Chang has collaborated with scholars based in Taiwan, Singapore and United States. Frequent co-authors include Wen‐Chieh Liao, Jeng-Yung Shieh, June‐Horng Lue, Ying‐Jui Ho, Fu-Der Mai, Chyn‐Tair Lan, Eng‐Ang Ling, Te-Jen Lai, Chao‐Yu Hsu and Ching‐Sui Hung. Their work appears in journals such as Scientific Reports, Cells Tissues Organs, Histochemistry and Cell Biology, Pediatric Emergency Care and Experimental Neurology.

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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