MA Vadas

2.3k citations
38 papers · 1.9k · h-index 22

Impact in

  • Immunology top 2%
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research

Papers in

    • Immune Response and Inflammation 21
    • Immune Cell Function and Interaction 16
    • T-cell and B-cell Immunology 3
    • T-cell and Retrovirus Studies 3
    • RNA Interference and Gene Delivery 3

MA Vadas

38 papers receiving 1.9k citations

Peers

MA Vadas
Comparison fields: 5 of 96
  • Immunology 1.0k
  • Hematology 406
  • Immunology and Allergy 170
  • Oncology 416
  • Parasitology 62
Replace FW Ruscetti with:
FW Ruscetti United States
Taku Kouro Japan
JR Keller United States
S C Clark United States
S Gillis United States
D Grail Australia
IG Young Australia
A E Namen United States
Beverley L. Pike Australia
Evelin Grage‐Griebenow Germany
MA Vadas relative to FW Ruscetti United States FW Ruscetti's profile →
Citations per field
00.5×3.3×
FW Ruscetti · 1×
Citations per year

Countries citing papers authored by MA Vadas

Since Specialization
Citations

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

Fields of papers citing papers by MA Vadas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986380
2 1986231
3 1994139
4 1989127
5 199695
6 199590
7 198787
8 197987
9 198884
10 198874
11 199572
12 199670
13 199459
14 199339
15 198336
16 199536
17 198631
18 199131
19 199128
20 198624

About MA Vadas

MA Vadas is a scholar working on Immunology, Molecular Biology, Physiology, Genetics and Immunology and Allergy, having authored 38 papers that have together received 1.9k indexed citations. Recurring topics across this work include Immune Response and Inflammation (21 papers), Immune Cell Function and Interaction (16 papers), Cell Adhesion Molecules Research (5 papers), Asthma and respiratory diseases (5 papers), T-cell and B-cell Immunology (3 papers), RNA Interference and Gene Delivery (3 papers), T-cell and Retrovirus Studies (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Immunology (1.0k citations), Hematology (406 citations), Immunology and Allergy (170 citations), Oncology (416 citations) and Parasitology (62 citations). MA Vadas has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Angel F. López, D Metcalf, Nicos A. Nicola, C. Glenn Begley, SC Clark, M Shannon, CJ Sanderson, Jennifer R. Gamble, GG Wong and DJ Williamson. Their work appears in journals such as Blood, Bioinformatics, Immunology and Cell Biology and The Journal of Experimental 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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