David M. Chascsa

62 total papers · 1.2k total citations
32 papers, 367 citations indexed

About

David M. Chascsa is a scholar working on Hepatology, Epidemiology and Surgery. According to data from OpenAlex, David M. Chascsa has authored 32 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Hepatology, 19 papers in Epidemiology and 13 papers in Surgery. Recurrent topics in David M. Chascsa's work include Liver Disease Diagnosis and Treatment (15 papers), Liver Disease and Transplantation (7 papers) and Renal Transplantation Outcomes and Treatments (6 papers). David M. Chascsa is often cited by papers focused on Liver Disease Diagnosis and Treatment (15 papers), Liver Disease and Transplantation (7 papers) and Renal Transplantation Outcomes and Treatments (6 papers). David M. Chascsa collaborates with scholars based in United States, Canada and Brazil. David M. Chascsa's co-authors include Keith D. Lindor, Elizabeth J. Carey, Jorge Rakela, Bashar Aqel, Adyr A. Moss, Amit K. Mathur, Mitesh J. Borad, Raquel T. Yokoda, Ahmad H. Ali and Thomas DeLeon and has published in prestigious journals such as Journal of Clinical Oncology, Gastroenterology and Hepatology.

In The Last Decade

David M. Chascsa

22 papers receiving 359 citations

Author Peers

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

Author Last Decade Papers Cites
David M. Chascsa 214 148 123 115 47 32 367
Priya Grewal 188 0.9× 136 0.9× 101 0.8× 36 0.3× 38 0.8× 24 421
Evangelia Fatourou 221 1.0× 149 1.0× 86 0.7× 92 0.8× 25 0.5× 20 349
Hyun Yang 231 1.1× 144 1.0× 85 0.7× 66 0.6× 58 1.2× 40 386
Tomoki Furuya 71 0.3× 79 0.5× 115 0.9× 205 1.8× 28 0.6× 36 357
Min Zhang 80 0.4× 67 0.5× 125 1.0× 89 0.8× 19 0.4× 36 337
Justin Steggerda 91 0.4× 116 0.8× 51 0.4× 157 1.4× 16 0.3× 35 363
Ruey‐Shyang Soong 151 0.7× 104 0.7× 47 0.4× 187 1.6× 49 1.0× 32 352
Shintaro Hayashida 136 0.6× 69 0.5× 33 0.3× 194 1.7× 39 0.8× 45 347
Min Yang 127 0.6× 113 0.8× 69 0.6× 103 0.9× 25 0.5× 17 344
Vikram Raut 268 1.3× 109 0.7× 60 0.5× 294 2.6× 15 0.3× 21 402

Countries citing papers authored by David M. Chascsa

Since Specialization
Citations

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

Fields of papers citing papers by David M. Chascsa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Chascsa. 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 David M. Chascsa. The network helps show where David M. Chascsa may publish in the future.

Co-authorship network of co-authors of David M. Chascsa

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Chascsa. A scholar is included among the top collaborators of David M. Chascsa 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 David M. Chascsa. David M. Chascsa 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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