Matthew S. Chang

61 total papers · 962 total citations
37 papers, 676 citations indexed

About

Matthew S. Chang is a scholar working on Epidemiology, Hepatology and Surgery. According to data from OpenAlex, Matthew S. Chang has authored 37 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Epidemiology, 19 papers in Hepatology and 12 papers in Surgery. Recurrent topics in Matthew S. Chang's work include Hepatitis B Virus Studies (14 papers), Liver Disease Diagnosis and Treatment (12 papers) and Hepatitis C virus research (9 papers). Matthew S. Chang is often cited by papers focused on Hepatitis B Virus Studies (14 papers), Liver Disease Diagnosis and Treatment (12 papers) and Hepatitis C virus research (9 papers). Matthew S. Chang collaborates with scholars based in United States, Canada and United Kingdom. Matthew S. Chang's co-authors include Mindie H. Nguyen, Elizabeth C. Verna, Elliot B. Tapper, Robert S. Brown, Daniel Finkelstein, Michelle Lai, Todd R. Stravitz, Gail Piatkowski, Michael L. Schilsky and William M. Lee and has published in prestigious journals such as Gastroenterology, Hepatology and Brain Research.

In The Last Decade

Matthew S. Chang

35 papers receiving 658 citations

Author Peers

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

Author Last Decade Papers Cites
Matthew S. Chang 442 356 184 104 84 37 676
Anuradha Supun Dassanayake 446 1.0× 245 0.7× 156 0.8× 60 0.6× 25 0.3× 49 722
Aylin Tansel 370 0.8× 285 0.8× 336 1.8× 138 1.3× 39 0.5× 24 722
Alberto Muñoz 488 1.1× 524 1.5× 180 1.0× 31 0.3× 73 0.9× 26 744
Jeremiah P. Donovan 331 0.7× 246 0.7× 266 1.4× 111 1.1× 40 0.5× 27 666
Ran Oren 403 0.9× 388 1.1× 211 1.1× 43 0.4× 51 0.6× 40 761
Amir Houshang Mohammad Alizadeh 440 1.0× 407 1.1× 189 1.0× 63 0.6× 16 0.2× 42 771
David Rowbotham 327 0.7× 115 0.3× 263 1.4× 79 0.8× 83 1.0× 58 765
Taylan Kav 270 0.6× 265 0.7× 252 1.4× 93 0.9× 14 0.2× 64 653
K.-J. Lo 509 1.2× 515 1.4× 172 0.9× 58 0.6× 18 0.2× 26 724
Piotr Czubkowski 332 0.8× 356 1.0× 374 2.0× 47 0.5× 17 0.2× 61 765

Countries citing papers authored by Matthew S. Chang

Since Specialization
Citations

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

Fields of papers citing papers by Matthew S. Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew S. 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 Matthew S. Chang. The network helps show where Matthew S. Chang may publish in the future.

Co-authorship network of co-authors of Matthew S. Chang

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