Mit Patel

1.4k citations
10 papers · 36 · h-index 4

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing
    • Viral gastroenteritis research and epidemiology
    • Vaccine Coverage and Hesitancy

Papers in

Mit Patel

8 papers receiving 36 citations

Peers

Mit Patel
Comparison fields: 5 of 24
  • Infectious Diseases 24
  • Health 4
  • Nephrology 3
  • Obstetrics and Gynecology 3
  • Animal Science and Zoology 3
Replace Seema Jain with:
Seema Jain India
Delphine Kemlin Belgium
Catharina Christa Germany
Alexander Hargreaves United Kingdom
Chijioke Bennett South Africa
Fernanda Nascimento Brazil
Jitendra Singh Kushwaha India
Ágatha Costa Brazil
Noemi Glarner Switzerland
Kassem Safa United States
Mit Patel relative to Seema Jain India Seema Jain's profile →
Citations per field
00.5×4.5×
Seema Jain · 1×
Citations per year

Countries citing papers authored by Mit Patel

Since Specialization
Citations

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

Fields of papers citing papers by Mit Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 202215
2 20226
3
Prime numbers and their analysis
20204
4 20234
5 20223
6 20232
7 20231
8 20231
9 20250
10 20200

About Mit Patel

Mit Patel is a scholar working on Infectious Diseases, Nephrology, Oncology, Molecular Biology and Pathology and Forensic Medicine, having authored 10 papers that have together received 36 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (3 papers), Renal Diseases and Glomerulopathies (2 papers), COVID-19 Clinical Research Studies (2 papers), Autoimmune Bullous Skin Diseases (1 paper), Lung Cancer Diagnosis and Treatment (1 paper), Viral Infections and Immunology Research (1 paper), Nanofluid Flow and Heat Transfer (1 paper) and Advanced Mathematical Theories and Applications (1 paper). The work is most often cited by research in Infectious Diseases (24 citations), Health (4 citations), Nephrology (3 citations), Obstetrics and Gynecology (3 citations) and Animal Science and Zoology (3 citations). Mit Patel has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Jane A. O’Halloran, Caroline Ciric, Rachel M. Presti, Christina A. Rostad, Christopher Ngai, Jackson S. Turner, Jens Wrammert, Evan J. Anderson, Ali H. Ellebedy and Sneh Lata Gupta. Their work appears in journals such as Cancers, Clinical Infectious Diseases, ClinicoEconomics and Outcomes Research, CHEST Journal and Journal of Virology.

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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