Mathew A. Vadas

20.7k citations
207 papers · 17.4k indexed · 3 hit papers · h-index 69

Impact in

Papers in

Mathew A. Vadas

207 papers receiving 16.7k citations

Hit Papers

The miR-200 family and miR-205 regulate epithelial to mesenchymal transition by targeting ZEB1 and SIP1 2008 · 3.2k citations
3.2k197920261994201010002.0k3.0k

Peers

Mathew A. Vadas
Comparison fields: 5 of 146
  • Immunology and Allergy 1.9k
  • Cancer Research 3.7k
  • Immunology 4.4k
  • Molecular Biology 9.2k
  • Cell Biology 2.2k
Replace John H. Kehrl with:
John H. Kehrl United States
Jennifer R. Gamble Australia
Roy A. Black United States
David Wallach Israel
Steven T. Pals Netherlands
Pascal Schneider Switzerland
Ulrich Siebenlist United States
Jacques J. Peschon United States
J. Fernando Bazán United States
Barrett J. Rollins United States
Mathew A. Vadas relative to John H. Kehrl United States John H. Kehrl's profile →
Citations per field
00.5×1.5×2.0×
John H. Kehrl · 1×
Citations per year

Countries citing papers authored by Mathew A. Vadas

Since Specialization
Citations

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

Fields of papers citing papers by Mathew A. Vadas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20231
2 202342
3 202116
4 202023
5 201830
6 201750
7 201544
8 20135
9 200815
10
Cryptomics : Identification of Novel Bioactive Peptides from Intact Proteins
20071
11 200724
12 200664
13 200417
14 200290
15 200034
16 2000347
17 1999150
18 199872
19 199771
20 1995119

About Mathew A. Vadas

Mathew A. Vadas is a scholar working on Immunology and Allergy, Immunology, Parasitology, Cancer Research and Hematology, having authored 207 papers that have together received 17.4k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (45 papers), Sphingolipid Metabolism and Signaling (33 papers), Immune Response and Inflammation (33 papers), Immune Cell Function and Interaction (22 papers), Angiogenesis and VEGF in Cancer (21 papers), Monoclonal and Polyclonal Antibodies Research (21 papers), Parasites and Host Interactions (16 papers) and Platelet Disorders and Treatments (14 papers). The work is most often cited by research in Immunology and Allergy (1.9k citations), Cancer Research (3.7k citations), Immunology (4.4k citations), Molecular Biology (9.2k citations) and Cell Biology (2.2k citations). Mathew A. Vadas has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Jennifer R. Gamble, Yeesim Khew‐Goodall, Gregory J. Goodall, Andrew G. Bert, Simon C. Barry, Pu Xia, Anna Tsykin, Philip A. Gregory, Emily Paterson and Gelareh Farshid. Their work appears in journals such as The Journal of Immunology, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, The Journal of Experimental 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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