Melissa V. Chan

2.3k citations
44 papers · 1.3k indexed · h-index 20
Topics
Antiplatelet Therapy and Cardiovascular Diseases (24 papers)Platelet Disorders and Treatments (13 papers)Inflammatory mediators and NSAID effects (12 papers)

In The Last Decade

Melissa V. Chan

41 papers receiving 1.3k citations

Peers

Melissa V. Chan
Comparison fields: 5 of 110
  • Cardiology and Cardiovascular Medicine 459
  • Biochemistry 286
  • Hematology 261
  • Surgery 204
  • Pharmacology 199
Replace Norishi Ueda with:
Norishi Ueda Japan
Frank A. DeLano United States
Ewa Chabielska Poland
Rosalia Lo Presti Italy
Bruce Smith United States
Karla B Neves United Kingdom
PP Nawroth Germany
P. Görög United Kingdom
David Sanz‐Rosa Spain
Paola Massucco Italy
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Citations per field
00.5×4.3×
Norishi Ueda · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 7
3 2
4 4
5 4
6 37
7 22
8 9
9 32
10 6
11 19
12 51
13
Abstract 18520: Novel Tissue-specific Cyclooxygenase-1 Knockout Mice Demonstrate a Dominant Role for Endothelial Cyclooxygenase-1 in Prostacyclin Production
1
14
Abstract 19935: MicroRNA-21 Regulates Transforming Growth Factor Beta-1 Release From Platelets: A Novel Mechanism for the Anti-Fibrotic Effects of MicroRNA-21 Inhibition
1
15 18
16 24
17 135
18 44
19 38
20 56

About Melissa V. Chan

Melissa V. Chan is a scholar working on Internal Medicine, Cardiology and Cardiovascular Medicine and Hematology, having authored 44 papers that have together received 1.3k indexed citations. Recurring topics across this work include Antiplatelet Therapy and Cardiovascular Diseases (24 papers), Platelet Disorders and Treatments (13 papers) and Inflammatory mediators and NSAID effects (12 papers). The work is most often cited by research in Internal Medicine (178 citations), Biochemistry (286 citations) and Hematology (261 citations). Melissa V. Chan has collaborated with scholars based in United Kingdom, United States and Canada. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and Blood.

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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