Melissa V. Chan

92 total papers · 2.3k total citations
44 papers, 1.3k citations indexed

About

Melissa V. Chan is a scholar working on Cardiology and Cardiovascular Medicine, Pharmacology and Hematology. According to data from OpenAlex, Melissa V. Chan has authored 44 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cardiology and Cardiovascular Medicine, 15 papers in Pharmacology and 14 papers in Hematology. Recurrent topics in Melissa V. Chan's work include Antiplatelet Therapy and Cardiovascular Diseases (24 papers), Platelet Disorders and Treatments (13 papers) and Inflammatory mediators and NSAID effects (12 papers). Melissa V. Chan is often cited by papers focused on Antiplatelet Therapy and Cardiovascular Diseases (24 papers), Platelet Disorders and Treatments (13 papers) and Inflammatory mediators and NSAID effects (12 papers). Melissa V. Chan collaborates with scholars based in United Kingdom, United States and Canada. Melissa V. Chan's co-authors include Timothy D. Warner, Nicholas S. Kirkby, John L. Wallace, Paul C. Armstrong, Jane A. Mitchell, Joseph A. Jakubowski, Jing Jiao, Harvey R. Herschman, Anne K. Zaiss and Marilena Crescente and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Blood.

In The Last Decade

Melissa V. Chan

41 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Melissa V. Chan 455 285 261 202 198 44 1.3k
Paul C. Armstrong 537 1.2× 117 0.4× 367 1.4× 216 1.1× 217 1.1× 50 1.4k
M.A. Barradas 460 1.0× 125 0.4× 323 1.2× 395 2.0× 202 1.0× 72 1.7k
L B Safier 427 0.9× 176 0.6× 519 2.0× 216 1.1× 220 1.1× 25 1.7k
Laine J. Murphey 492 1.1× 119 0.4× 222 0.9× 177 0.9× 243 1.2× 38 1.8k
Barbara Voetsch 206 0.5× 83 0.3× 253 1.0× 145 0.7× 114 0.6× 35 1.8k
P. Görög 230 0.5× 71 0.2× 138 0.5× 219 1.1× 103 0.5× 86 1.3k
Maurizio Degan 346 0.8× 185 0.6× 69 0.3× 167 0.8× 184 0.9× 58 1.2k
R De Caterina 721 1.6× 69 0.2× 70 0.3× 215 1.1× 162 0.8× 54 1.3k
Chiara Cuccurullo 429 0.9× 95 0.3× 79 0.3× 255 1.3× 183 0.9× 30 1.6k
Ewa Chabielska 472 1.0× 57 0.2× 162 0.6× 161 0.8× 159 0.8× 101 1.1k

Countries citing papers authored by Melissa V. Chan

Since Specialization
Citations

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

Fields of papers citing papers by Melissa V. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Melissa V. Chan. 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 Melissa V. Chan. The network helps show where Melissa V. Chan may publish in the future.

Co-authorship network of co-authors of Melissa V. Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Melissa V. Chan. A scholar is included among the top collaborators of Melissa V. Chan 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 Melissa V. Chan. Melissa V. Chan 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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2026