Jay S. Raval

3.4k citations
102 papers · 1.4k indexed · h-index 25

Impact in

Papers in

Jay S. Raval

95 papers receiving 1.4k citations

Peers

Jay S. Raval
Comparison fields: 5 of 122
  • Biochemistry 381
  • Critical Care and Intensive Care Medicine 298
  • Hematology 338
  • Management of Technology and Innovation 156
  • Emergency Medicine 201
Replace Leo van de Watering with:
Leo van de Watering Netherlands
Robertson D. Davenport United States
D. R. Norfolk United Kingdom
James P. Crowley United States
Cliff Morgan United Kingdom
Martin R. Schipperus Netherlands
Torunn Oveland Apelseth Norway
Kathryn E. Webert Canada
Luís Alberto Oliveira Dallan Brazil
Jay S. Raval relative to Leo van de Watering Netherlands Leo van de Watering's profile →
Citations per field
00.5×1.5×2.2×
Leo van de Watering · 1×
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-authorship network

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
#Work
1 20241
2 20241
3 20231
4 20224
5 202113
6 20211
7 20201
8 20203
9 202014
10 20208
11 20200
12 20202
13 20201
14 202026
15 20192
16 20190
17 20192
18 20184
19 20127
20 201221

About Jay S. Raval

Jay S. Raval is a scholar working on Biochemistry, Critical Care and Intensive Care Medicine, Hematology, Management of Technology and Innovation and Emergency Medicine, having authored 102 papers that have together received 1.4k indexed citations. Recurring topics across this work include Blood transfusion and management (34 papers), Blood groups and transfusion (22 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (19 papers), Blood donation and transfusion practices (18 papers), Complement system in diseases (15 papers), Platelet Disorders and Treatments (14 papers), Hemoglobinopathies and Related Disorders (9 papers) and Trauma and Emergency Care Studies (9 papers). The work is most often cited by research in Biochemistry (381 citations), Critical Care and Intensive Care Medicine (298 citations), Hematology (338 citations), Management of Technology and Innovation (156 citations) and Emergency Medicine (201 citations). Jay S. Raval has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Matthew D. Neal, Marian A. Rollins‐Raval, Jonathan H. Waters, Darrell J. Triulzi, Mark H. Yazer, Marshall Mazepa, Marina V. Kameneva, Yara A. Park, Mark H. Yazer and Eric Etchill. Their work appears in journals such as Transfusion, Journal of Clinical Apheresis, Vox Sanguinis, Transfusion Medicine 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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2026