Anu Mathew
Impact in
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
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- Diabetes and associated disorders
Papers in
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- SARS-CoV-2 detection and testing 4
- Tuberculosis Research and Epidemiology 3
- COVID-19 Clinical Research Studies 2
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- Ovarian function and disorders 2
- Co-authors
- George B. Sigal (10 shared papers)Payam Nahid (3 shared papers)Martin K. Stengelin (10 shared papers)Timothy J. Savage (1 shared paper)Nira R. Pollock (1 shared paper)Rose A. Lee (1 shared paper)Todd L. Lowary (2 shared papers)Abraham Pinter (2 shared papers)
- Journals
- Clinical Chemistry and Laboratory Medicine (CCLM) (4 papers)Clinical Chemistry (2 papers)Clinical Proteomics (2 papers)Journal of Clinical Microbiology (2 papers)Clinical Infectious Diseases (1 paper)
- Partner nations
- United StatesCanadaSweden
In The Last Decade
Anu Mathew
17 papers receiving 497 citations
Peers
Comparison fields: 5 of 48
- Infectious Diseases 285
- Genetics 64
- Neurology 17
- Endocrinology, Diabetes and Metabolism 18
- Cancer Research 12
Countries citing papers authored by Anu Mathew
This map shows the geographic impact of Anu Mathew'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 Anu Mathew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anu Mathew more than expected).
Fields of papers citing papers by Anu Mathew
This network shows the impact of papers produced by Anu Mathew. 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 Anu Mathew. The network helps show where Anu Mathew may publish in the future.
Co-authors
The 25 scholars most cited alongside Anu Mathew, 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 | 2018 | 101 | |
| 2 | 2017 | 95 | |
| 3 | 2019 | 77 | |
| 4 | 2021 | 76 | |
| 5 | 2019 | 52 | |
| 6 | 2022 | 28 | |
| 7 | 2017 | 14 | |
| 8 | 2014 | 13 | |
| 9 | 2022 | 13 | |
| 10 | 2023 | 11 | |
| 11 | 2024 | 9 | |
| 12 | 2017 | 6 | |
| 13 | 2020 | 5 | |
| 14 | 2025 | 4 | |
| 15 | 2022 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2017 | 2 | |
| 18 | 2022 | 0 | |
| 19 | 2024 | 0 |
About Anu Mathew
Anu Mathew is a scholar working on Infectious Diseases, Reproductive Medicine, Pathology and Forensic Medicine, Physiology and Urology, having authored 19 papers that have together received 512 indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (4 papers), Tuberculosis Research and Epidemiology (3 papers), Clinical Laboratory Practices and Quality Control (2 papers), COVID-19 Clinical Research Studies (2 papers), Diabetes and associated disorders (2 papers), Ovarian function and disorders (2 papers), Prostate Cancer Diagnosis and Treatment (2 papers) and Urinary Bladder and Prostate Research (1 paper). The work is most often cited by research in Infectious Diseases (285 citations), Genetics (64 citations), Neurology (17 citations), Endocrinology, Diabetes and Metabolism (18 citations) and Cancer Research (12 citations). Anu Mathew has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include George B. Sigal, Payam Nahid, Martin K. Stengelin, Timothy J. Savage, Nira R. Pollock, Rose A. Lee, Todd L. Lowary, Abraham Pinter, Kiyonori Katsuragi and Claudia Maria Denkinger. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), Clinical Chemistry, Clinical Proteomics, Journal of Clinical Microbiology and Clinical Infectious Diseases.
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.