Mathew A. Vadas
Impact in
- Immunology and Allergy top 0.1%
- Cell Adhesion Molecules Research
- Cancer Research top 0.2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Cell Adhesion Molecules Research 45
- Immunology 83
- Immune Response and Inflammation 33
- Immune Cell Function and Interaction 22
- Co-authors
- Jennifer R. GambleYeesim Khew‐GoodallGregory J. GoodallAndrew G. BertSimon C. BarryPu XiaAnna TsykinPhilip A. Gregory
- Journals
- The Journal of Immunology (17 papers)Journal of Biological Chemistry (15 papers)Proceedings of the National Academy of Sciences (13 papers)The Journal of Experimental Medicine (8 papers)Blood (7 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Mathew A. Vadas
207 papers receiving 16.7k citations
Hit Papers
Peers
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
Countries citing papers authored by Mathew A. Vadas
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2023 | 42 | |
| 3 | 2021 | 16 | |
| 4 | 2020 | 23 | |
| 5 | 2018 | 30 | |
| 6 | 2017 | 50 | |
| 7 | 2015 | 44 | |
| 8 | 2013 | 5 | |
| 9 | 2008 | 15 | |
| 10 | Cryptomics : Identification of Novel Bioactive Peptides from Intact Proteins | 2007 | 1 |
| 11 | 2007 | 24 | |
| 12 | 2006 | 64 | |
| 13 | 2004 | 17 | |
| 14 | 2002 | 90 | |
| 15 | 2000 | 34 | |
| 16 | 2000 | 347 | |
| 17 | 1999 | 150 | |
| 18 | 1998 | 72 | |
| 19 | 1997 | 71 | |
| 20 | 1995 | 119 |
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.