Vimarsh Raina

780 citations
90 papers · 550 · h-index 11

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Hematology top 10%
    • Blood groups and transfusion
    • Hematopoietic Stem Cell Transplantation

Papers in

    • Hematopoietic Stem Cell Transplantation 14
    • Blood groups and transfusion 9
    • T-cell and B-cell Immunology 8
    • Immune Cell Function and Interaction 6

Vimarsh Raina

74 papers receiving 511 citations

Peers

Vimarsh Raina
Comparison fields: 5 of 100
  • Transplantation 30
  • Hematology 110
  • Biochemistry 36
  • Management of Technology and Innovation 46
  • Hepatology 35
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Citations per field
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Citations per year

Countries citing papers authored by Vimarsh Raina

Since Specialization
Citations

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

Fields of papers citing papers by Vimarsh Raina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vimarsh Raina. 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 Vimarsh Raina. The network helps show where Vimarsh Raina may publish in the future.

Co-authors

The 25 scholars most cited alongside Vimarsh Raina, 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 Vimarsh Raina Line = papers co-authored together Vimarsh Raina links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201456
2 201551
3 201136
4 201132
5 201420
6 201420
7
Prevalence of hepatitis C virus antibody in healthy blood donors.
199919
8 201915
9 201014
10 198911
11 201611
12 201210
13 201510
14 201510
15 201310
16 20229
17 20109
18
A prospective study on the incidence of hepatitis B & C infections amongst patients with lymphoproliferative disorders.
19989
19 20158
20 20138

About Vimarsh Raina

Vimarsh Raina is a scholar working on Hematology, Immunology, Transplantation, Genetics and Epidemiology, having authored 90 papers that have together received 550 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (14 papers), Renal Transplantation Outcomes and Treatments (13 papers), Blood groups and transfusion (9 papers), T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (6 papers), Hepatitis B Virus Studies (5 papers), Hemoglobinopathies and Related Disorders (5 papers) and Blood transfusion and management (5 papers). The work is most often cited by research in Transplantation (30 citations), Hematology (110 citations), Biochemistry (36 citations), Management of Technology and Innovation (46 citations) and Hepatology (35 citations). Vimarsh Raina has collaborated with scholars based in India, New Zealand and United States. Frequent co-authors include Aseem Kumar Tiwari, Ritesh Sachdev, Prashant Pandey, Pranav Dorwal, Shalini Goel, R.N. Makroo, Dheeraj Gautam, Aakanksha Bhatia, Richa Gupta and Pooja Sharma. Their work appears in journals such as Journal of Clinical Laboratory Analysis, Blood, Cancer Research, Legal Medicine and Cytometry Part B Clinical Cytometry.

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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