Jay S. Raval

3.5k citations
106 papers · 1.5k · h-index 26

Impact in

Papers in

    • Blood groups and transfusion 17
    • Platelet Disorders and Treatments 9
    • Blood transfusion and management 26

Jay S. Raval

99 papers receiving 1.5k citations

Peers

Jay S. Raval
Comparison fields: 5 of 120
  • Critical Care and Intensive Care Medicine 244
  • Biochemistry 302
  • Hematology 247
  • Emergency Medicine 125
  • Internal Medicine 40
Replace D. R. Norfolk with:
D. R. Norfolk United Kingdom
Robertson D. Davenport United States
Cliff Morgan United Kingdom
F. Mercuriali Italy
Torunn Oveland Apelseth Norway
Nicholas Bandarenko United States
Rebecca Cardigan United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Jay S. Raval

Since Specialization
Citations

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

Fields of papers citing papers by Jay S. Raval

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jay S. Raval, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jay S. Raval Line = papers co-authored together Jay S. Raval links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201593
2 201066
3 201059
4 201552
5 201049
6 201445
7 201142
8 201342
9 201439
10 201337
11 201637
12 201237
13 201336
14 201735
15 200635
16 201233
17
Blood Product Transfusion in Adults: Indications, Adverse Reactions, and Modifications.
202033
18 202130
19 201330
20 202028

About Jay S. Raval

Jay S. Raval is a scholar working on Hematology, Biochemistry, Critical Care and Intensive Care Medicine, Immunology and Management of Technology and Innovation, having authored 106 papers that have together received 1.5k indexed citations. Recurring topics across this work include Blood transfusion and management (26 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (18 papers), Blood groups and transfusion (17 papers), Complement system in diseases (14 papers), Blood donation and transfusion practices (13 papers), Platelet Disorders and Treatments (9 papers), Mechanical Circulatory Support Devices (8 papers) and Hemoglobinopathies and Related Disorders (6 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (244 citations), Biochemistry (302 citations), Hematology (247 citations), Emergency Medicine (125 citations) and Internal Medicine (40 citations). Jay S. Raval has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Matthew D. Neal, Marian A. Rollins‐Raval, Jonathan H. Waters, Darrell J. Triulzi, Marshall Mazepa, Mark H. Yazer, Yara A. Park, Marina V. Kameneva, Mark H. Yazer and Eric Etchill. Their work appears in journals such as Transfusion, Journal of Clinical Apheresis, Vox Sanguinis, Blood and Transfusion Medicine.

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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