P. Shah

828 citations
31 papers · 615 · h-index 12

Impact in

Papers in

P. Shah

26 papers receiving 579 citations

Peers

P. Shah
Comparison fields: 5 of 87
  • Endocrinology, Diabetes and Metabolism 326
  • Obstetrics and Gynecology 55
  • Physiology 121
  • Pediatrics, Perinatology and Child Health 81
  • Surgery 164
Replace C. C. Chow with:
C. C. Chow Hong Kong
Małgorzata Wójcik Poland
Manjari Dwivedi India
Abdul Basit Pakistan
Jo Ann E. Manson United States
Hui Tian China
Yaxin Lai China
Wing Yee So Hong Kong
Jeanie B. Tryggestad United States
P. Shah relative to C. C. Chow Hong Kong C. C. Chow's profile →
Citations per field
00.5×1.5×1.8×
C. C. Chow · 1×
Citations per year

Countries citing papers authored by P. Shah

Since Specialization
Citations

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

Fields of papers citing papers by P. Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000158
2 200378
3 200277
4 199851
5 200450
6 200830
7 200822
8 200118
9 200617
10 200516
11 200813
12
Risk factors related to the development of diabetes in men working in a north Indian industry.
200712
13 200811
14 200211
15
Patients with malnutrition related diabetes mellitus are as insulin sensitive as insulin dependent diabetics.
199911
16 20009
17
Thyrotoxicosis with osteomalacia and proximal myopathy.
19937
18 20015
19 20204
20 20204

About P. Shah

P. Shah is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Pediatrics, Perinatology and Child Health and Epidemiology, having authored 31 papers that have together received 615 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (5 papers), Birth, Development, and Health (5 papers), Pregnancy and preeclampsia studies (5 papers), Diabetes Treatment and Management (4 papers), Gestational Diabetes Research and Management (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Antifungal resistance and susceptibility (3 papers) and Fungal Infections and Studies (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (326 citations), Obstetrics and Gynecology (55 citations), Physiology (121 citations), Pediatrics, Perinatology and Child Health (81 citations) and Surgery (164 citations). P. Shah has collaborated with scholars based in India, United States and Czechia. Frequent co-authors include K. Srinath Reddy, R. A. Rizza, Adrian Vella, Rita Basu, Dorairaj Prabhakaran, B Shah, N Kochupillai, Ananda Basu, Shaneen Singh and W. Schwenk. Their work appears in journals such as Diabetologia, Endocrine Research, Catheterization and Cardiovascular Interventions, Hormone and Metabolic Research and Obesity Reviews.

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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