Hao‐Ming Chang

65 total papers · 678 total citations
44 papers, 515 citations indexed

About

Hao‐Ming Chang is a scholar working on Surgery, Epidemiology and Organic Chemistry. According to data from OpenAlex, Hao‐Ming Chang has authored 44 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Surgery, 11 papers in Epidemiology and 5 papers in Organic Chemistry. Recurrent topics in Hao‐Ming Chang's work include Shoulder Injury and Treatment (5 papers), Catalytic C–H Functionalization Methods (5 papers) and Shoulder and Clavicle Injuries (5 papers). Hao‐Ming Chang is often cited by papers focused on Shoulder Injury and Treatment (5 papers), Catalytic C–H Functionalization Methods (5 papers) and Shoulder and Clavicle Injuries (5 papers). Hao‐Ming Chang collaborates with scholars based in Taiwan, United States and France. Hao‐Ming Chang's co-authors include Chien‐Hong Cheng, Martin Wabitsch, Pei‐Chi Chan, Fone‐Ching Hsiao, Ming‐Yuan Wu, Tai‐Hsiang Huang, Hsieh‐Chih Tsai, Chih‐Wei Huang, Muthian Shanmugasundaram and Adhimoorthy Prasannan and has published in prestigious journals such as SHILAP Revista de lepidopterología, The FASEB Journal and Human Molecular Genetics.

In The Last Decade

Hao‐Ming Chang

37 papers receiving 505 citations

Author Peers

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

Author Last Decade Papers Cites
Hao‐Ming Chang 168 83 68 57 54 44 515
Mi‐Jin Yang 111 0.7× 44 0.5× 47 0.7× 106 1.9× 113 2.1× 64 523
Peiying Huang 113 0.7× 43 0.5× 75 1.1× 52 0.9× 128 2.4× 48 598
Ran Zhao 69 0.4× 46 0.6× 74 1.1× 36 0.6× 77 1.4× 62 479
Sandra Breyer 88 0.5× 117 1.4× 75 1.1× 21 0.4× 84 1.6× 41 599
Chengda Zhang 94 0.6× 75 0.9× 81 1.2× 63 1.1× 125 2.3× 49 548
Chen Zhou 76 0.5× 40 0.5× 93 1.4× 44 0.8× 92 1.7× 22 542
Atsushi Kawamura 134 0.8× 115 1.4× 59 0.9× 41 0.7× 127 2.4× 32 607
Zhida Wang 49 0.3× 43 0.5× 53 0.8× 23 0.4× 100 1.9× 31 550
Rashmi Pathak 118 0.7× 32 0.4× 40 0.6× 17 0.3× 196 3.6× 42 569
Sai Li 49 0.3× 78 0.9× 23 0.3× 30 0.5× 151 2.8× 28 551

Countries citing papers authored by Hao‐Ming Chang

Since Specialization
Citations

This map shows the geographic impact of Hao‐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 Hao‐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 Hao‐Ming Chang more than expected).

Fields of papers citing papers by Hao‐Ming Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao‐Ming Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Hao‐Ming Chang. A scholar is included among the top collaborators of Hao‐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 Hao‐Ming Chang. Hao‐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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