Mitul Shah

18.7k citations
23 papers · 971 · h-index 16

Impact in

  • Aging top 10%
  • Oncology top 10%
    • Cancer Risks and Factors
    • Global Cancer Incidence and Screening
    • Cancer-related Molecular Pathways

Papers in

    • BRCA gene mutations in cancer 4
    • Genetic Associations and Epidemiology 3
    • Glutathione Transferases and Polymorphisms 2

Mitul Shah

22 papers receiving 954 citations

Peers

Mitul Shah
Comparison fields: 5 of 78
  • Aging 19
  • Oncology 257
  • Cancer Research 125
  • Genetics 225
  • Pharmacology 57
Replace Wenru Tang with:
Wenru Tang China
Yon‐Dschun Ko Germany
Gary S. Pittman United States
Kiyoshi Fujinami Japan
Mikhail Churnosov Russia
Marie‐Christine Etienne France
Fereshteh Parviz United States
Rita Ficarelli Italy
Kristy Driver United Kingdom
Hege Edvardsen Norway
Mitul Shah relative to Wenru Tang China Wenru Tang's profile →
Citations per field
00.5×1.5×2.5×
Wenru Tang · 1×
Citations per year

Countries citing papers authored by Mitul Shah

Since Specialization
Citations

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

Fields of papers citing papers by Mitul Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008157
2 2010128
3 200784
4 201570
5 201070
6 201762
7 200457
8 200749
9 200549
10 200940
11 201032
12 201030
13 200929
14 200827
15 200624
16 200819
17 202212
18 20218
19 20228
20 20197

About Mitul Shah

Mitul Shah is a scholar working on Genetics, Molecular Biology, Oncology, Surgery and Physiology, having authored 23 papers that have together received 971 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (4 papers), Genetic Associations and Epidemiology (3 papers), Ovarian cancer diagnosis and treatment (2 papers), Telomeres, Telomerase, and Senescence (2 papers), Glutathione Transferases and Polymorphisms (2 papers), Organ Transplantation Techniques and Outcomes (1 paper), Microtubule and mitosis dynamics (1 paper) and Chemotherapy-induced cardiotoxicity and mitigation (1 paper). The work is most often cited by research in Aging (19 citations), Oncology (257 citations), Cancer Research (125 citations), Genetics (225 citations) and Pharmacology (57 citations). Mitul Shah has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Paul D.P. Pharoah, Douglas F. Easton, Bruce A.J. Ponder, Alison M. Dunning, Gillian C. Barnett, Karen Redman, Kristy Driver, David Greenberg, Robert Luben and Karen A. Pooley. Their work appears in journals such as Breast Cancer Research, Cancer Epidemiology Biomarkers & Prevention, Journal of Clinical Oncology, British Journal of Cancer and Genetics in Medicine.

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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