Matthew Winans
Impact in
- Reproductive Medicine top 10%
- Ovarian cancer diagnosis and treatment
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- Chemokine receptors and signaling
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Advanced Biosensing Techniques and Applications 2
- Surgery 2
- Pancreatic function and diabetes 1
- Co-authors
- Adele Marrangoni (7 shared papers)Anna Lokshin (7 shared papers)Lyudmila Velikokhatnaya (5 shared papers)Elieser Gorelik (2 shared papers)William L. Bigbee (2 shared papers)Zoya R. Yurkovetsky (3 shared papers)Douglas Landsittel (2 shared papers)Francesmary Modugno (1 shared paper)
- Journals
- Cancer Epidemiology Biomarkers & Prevention (2 papers)Cancer Letters (1 paper)Clinical Cancer Research (1 paper)PROTEOMICS - CLINICAL APPLICATIONS (1 paper)Cancer Biomarkers (1 paper)
- Partner nations
- United StatesCanadaSlovakia
In The Last Decade
Matthew Winans
7 papers receiving 620 citations
Peers
Comparison fields: 5 of 70
- Reproductive Medicine 80
- Oncology 173
- Immunology 133
- Cancer Research 68
- Otorhinolaryngology 14
Countries citing papers authored by Matthew Winans
This map shows the geographic impact of Matthew Winans'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 Matthew Winans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Winans more than expected).
Fields of papers citing papers by Matthew Winans
This network shows the impact of papers produced by Matthew Winans. 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 Matthew Winans. The network helps show where Matthew Winans may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Winans, 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 | 2005 | 229 | |
| 2 | 2007 | 168 | |
| 3 | 2007 | 94 | |
| 4 | 2003 | 50 | |
| 5 | 2008 | 39 | |
| 6 | 2008 | 32 | |
| 7 | 2005 | 26 |
About Matthew Winans
Matthew Winans is a scholar working on Molecular Biology, Surgery, Oncology, Reproductive Medicine and Otorhinolaryngology, having authored 7 papers that have together received 638 indexed citations. Recurring topics across this work include Advanced Biosensing Techniques and Applications (2 papers), Ovarian cancer diagnosis and treatment (2 papers), Pancreatic function and diabetes (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Head and Neck Cancer Studies (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Thyroid Cancer Diagnosis and Treatment (1 paper) and Chemokine receptors and signaling (1 paper). The work is most often cited by research in Reproductive Medicine (80 citations), Oncology (173 citations), Immunology (133 citations), Cancer Research (68 citations) and Otorhinolaryngology (14 citations). Matthew Winans has collaborated with scholars based in United States, Canada and Slovakia. Frequent co-authors include Adele Marrangoni, Anna Lokshin, Lyudmila Velikokhatnaya, Elieser Gorelik, William L. Bigbee, Zoya R. Yurkovetsky, Douglas Landsittel, Francesmary Modugno, Ronald B. Herberman and Howard Edington. Their work appears in journals such as Cancer Epidemiology Biomarkers & Prevention, Cancer Letters, Clinical Cancer Research, PROTEOMICS - CLINICAL APPLICATIONS and Cancer Biomarkers.
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.