Maitraya Patel

1.6k citations
37 papers · 1.2k · h-index 13

Impact in

Papers in

Maitraya Patel

33 papers receiving 1.2k citations

Peers

Maitraya Patel
Comparison fields: 5 of 103
  • Molecular Medicine 148
  • Applied Microbiology and Biotechnology 31
  • Microbiology 11
  • Clinical Biochemistry 68
  • Endocrinology 50
Replace Katherine Yang with:
Katherine Yang United States
Hongke Zeng China
Roberto Imberti Italy
Angelica Perna Italy
Michael P. Johnson United States
Liping Qiao United States
Zhong Yin China
Zhou Liu China
Alessandro Rossi Italy
A. C. Van Loenen Netherlands
Maitraya Patel relative to Katherine Yang United States Katherine Yang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Maitraya Patel

Since Specialization
Citations

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

Fields of papers citing papers by Maitraya Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998284
2 2000272
3 1992171
4 201789
5 201280
6 201055
7 201453
8 201527
9 201927
10 200121
11 202118
12 202215
13 202013
14 201910
15 202110
16 20248
17 20208
18 20235
19 20244
20 19953

About Maitraya Patel

Maitraya Patel is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Epidemiology, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Ovarian cancer diagnosis and treatment (3 papers), Appendicitis Diagnosis and Management (3 papers), Renal cell carcinoma treatment (2 papers), Ectopic Pregnancy Diagnosis and Management (2 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers) and Congenital Diaphragmatic Hernia Studies (2 papers). The work is most often cited by research in Molecular Medicine (148 citations), Applied Microbiology and Biotechnology (31 citations), Microbiology (11 citations), Clinical Biochemistry (68 citations) and Endocrinology (50 citations). Maitraya Patel has collaborated with scholars based in United States, Belgium and Australia. Frequent co-authors include Ye-Shih Ho, Liping Liang, Dora Y. Ho, Robert M. Sapolsky, Cecilia M. Jude, Midori A. Yenari, Guo Hua Sun, Louis K. Chang, David J. Onley and Sheri Fink. Their work appears in journals such as Radiographics, Abdominal Radiology, Thyroid, International Journal of Obstetric Anesthesia and Neuroscience.

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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