Mita Patel

671 citations
9 papers · 550 · h-index 5

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Mitochondrial Function and Pathology
    • DNA Repair Mechanisms
    • ATP Synthase and ATPases Research
    • DNA and Nucleic Acid Chemistry
    • Epigenetics and DNA Methylation

Papers in

    • Mitochondrial Function and Pathology 3
    • RNA modifications and cancer 2
    • ATP Synthase and ATPases Research 2
    • Epigenetics and DNA Methylation 1
    • Cancer, Hypoxia, and Metabolism 3

Mita Patel

8 papers receiving 542 citations

Peers

Mita Patel
Comparison fields: 5 of 90
  • Cancer Research 75
  • Molecular Biology 360
  • Clinical Biochemistry 30
  • Aging 7
  • Biochemistry 20
Replace Darla Reed with:
Darla Reed United States
Gina C. Bardwell United States
Viktoriya Pastukh United States
Alexis Schubert Germany
Yonglei Shang United States
Luke Fritzky United States
Holly Hoover United States
Bo-Jhih Guan United States
Matilde Caruso Italy
Adam Horn United States
Mita Patel relative to Darla Reed United States Darla Reed's profile →
Citations per field
00.5×1.5×2.1×
Darla Reed · 1×
Citations per year

Countries citing papers authored by Mita Patel

Since Specialization
Citations

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

Fields of papers citing papers by Mita Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2012311
2 2015124
3 200688
4 202215
5 20156
6 20244
7 20081
8 20101
9 20260

About Mita Patel

Mita Patel is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine, having authored 9 papers that have together received 550 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), RNA modifications and cancer (2 papers), ATP Synthase and ATPases Research (2 papers), Colorectal Cancer Screening and Detection (1 paper), Breast Lesions and Carcinomas (1 paper), Epigenetics and DNA Methylation (1 paper) and Photodynamic Therapy Research Studies (1 paper). The work is most often cited by research in Cancer Research (75 citations), Molecular Biology (360 citations), Clinical Biochemistry (30 citations), Aging (7 citations) and Biochemistry (20 citations). Mita Patel has collaborated with scholars based in United States. Frequent co-authors include Abu‐Bakr Al‐Mehdi, Gina C. Bardwell, Mark N. Gillespie, Darla Reed, Mikhail Alexeyev, Viktor M. Pastukh, Viktoriya Pastukh, Viktor Pastukh, David W. Clark and Glen M. Borchert. Their work appears in journals such as American Journal of Physiology-Lung Cellular and Molecular Physiology, Toxins, The FASEB Journal, American Journal of Respiratory Cell and Molecular Biology and The Breast Journal.

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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