Baldev Vasir

2.4k citations
42 papers · 1.7k indexed · h-index 20

Impact in

  • Immunology top 2%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
  • Hematology top 2%
    • Multiple Myeloma Research and Treatments

Papers in

    • Immunotherapy and Immune Responses 23
    • Immune Cell Function and Interaction 10
    • T-cell and B-cell Immunology 9
    • Multiple Myeloma Research and Treatments 9

Baldev Vasir

42 papers receiving 1.7k citations

Peers

Baldev Vasir
Comparison fields: 5 of 77
  • Immunology 931
  • Hematology 363
  • Oncology 762
  • Virology 95
  • Molecular Biology 735
Replace Mie Nieda with:
Mie Nieda Japan
Lise Mette Rahbek Gjerdrum Denmark
A C Bloem Netherlands
Jens M. Chemnitz Germany
Peter R. Rhode United States
José A. Brieva Spain
P. Hutin France
Denis Cournoyer Canada
Lauren K. Ely Australia
Sigrid Dubois United States
Baldev Vasir relative to Mie Nieda Japan Mie Nieda's profile →
Citations per field
00.5×1.5×2.3×
Mie Nieda · 1×
Citations per year

Countries citing papers authored by Baldev Vasir

Since Specialization
Citations

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

Fields of papers citing papers by Baldev Vasir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201341
2 20131
3 20131
4 20128
5 2012132
6 2011237
7 201033
8 201026
9 201023
10 2009125
11 200841
12 200786
13 20071
14 200526
15 200547
16 20043
17 200410
18 200329
19 200191
20 200073

About Baldev Vasir

Baldev Vasir is a scholar working on Immunology, Hematology, Virology, Oncology and Biotechnology, having authored 42 papers that have together received 1.7k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (23 papers), Immune Cell Function and Interaction (10 papers), Glycosylation and Glycoproteins Research (9 papers), Multiple Myeloma Research and Treatments (9 papers), T-cell and B-cell Immunology (9 papers), CAR-T cell therapy research (5 papers), Cancer Immunotherapy and Biomarkers (5 papers) and vaccines and immunoinformatics approaches (5 papers). The work is most often cited by research in Immunology (931 citations), Hematology (363 citations), Oncology (762 citations), Virology (95 citations) and Molecular Biology (735 citations). Baldev Vasir has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Donald Küfe, David Avigan, Jacalyn Rosenblatt, Zekui Wu, Gordon C. Weir, Susan Bonner‐Weir, Robin Joyce, James D. Levine, Heidi Mills and Brett Glotzbecker. Their work appears in journals such as Blood, Journal of Clinical Oncology, Journal of Immunotherapy, Biology of Blood and Marrow Transplantation and Transplantation.

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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