Jer-Ming Chang

9 total papers · 1.5k total citations
7 papers, 897 citations indexed

About

Jer-Ming Chang is a scholar working on Nephrology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Jer-Ming Chang has authored 7 papers receiving a total of 897 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Nephrology, 2 papers in Molecular Biology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Jer-Ming Chang's work include Alcohol Consumption and Health Effects (1 paper), Birth, Development, and Health (1 paper) and Thermoregulation and physiological responses (1 paper). Jer-Ming Chang is often cited by papers focused on Alcohol Consumption and Health Effects (1 paper), Birth, Development, and Health (1 paper) and Thermoregulation and physiological responses (1 paper). Jer-Ming Chang collaborates with scholars based in Taiwan and United States. Jer-Ming Chang's co-authors include Mary Donnelly, Stefan Franz, Yoon Hee Chang, Christian Faul, Kwanghee Kim, Sandra Merscher, Hoon Young Choi, Kirk N. Campbell, Peter Mündel and Jochen Reiser and has published in prestigious journals such as Nature Medicine, PLoS ONE and Scientific Reports.

In The Last Decade

Jer-Ming Chang

7 papers receiving 882 citations

Hit Papers

The actin cytoskeleton of... 2008 2026 2014 2020 2008 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jer-Ming Chang 696 224 141 124 121 7 897
Stefan Franz 616 0.9× 249 1.1× 134 1.0× 131 1.1× 79 0.7× 7 880
Helen Lovell 703 1.0× 185 0.8× 143 1.0× 131 1.1× 141 1.2× 8 833
Joshua A. Schwimmer 576 0.8× 237 1.1× 124 0.9× 128 1.0× 71 0.6× 19 860
William H. Hines 338 0.5× 261 1.2× 92 0.7× 150 1.2× 191 1.6× 13 905
C. Bätz 552 0.8× 159 0.7× 84 0.6× 94 0.8× 184 1.5× 7 821
Guillaume Dolla 855 1.2× 156 0.7× 354 2.5× 174 1.4× 332 2.7× 9 924
Sharon L. Karp 323 0.5× 151 0.7× 289 2.0× 213 1.7× 129 1.1× 9 818
L Kiss 554 0.8× 485 2.2× 116 0.8× 127 1.0× 80 0.7× 9 949
Astrid Fuss 661 0.9× 427 1.9× 80 0.6× 107 0.9× 110 0.9× 7 916
Brunhilde Hähnel 560 0.8× 365 1.6× 84 0.6× 68 0.5× 124 1.0× 8 873

Countries citing papers authored by Jer-Ming Chang

Since Specialization
Citations

This map shows the geographic impact of Jer-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 Jer-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 Jer-Ming Chang more than expected).

Fields of papers citing papers by Jer-Ming Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jer-Ming Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Jer-Ming Chang. A scholar is included among the top collaborators of Jer-Ming Chang 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 Jer-Ming Chang. Jer-Ming Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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