Daliparthy Devi Pratyush

519 citations
18 papers · 416 · h-index 10

Impact in

Papers in

Daliparthy Devi Pratyush

18 papers receiving 387 citations

Peers

Daliparthy Devi Pratyush
Comparison fields: 5 of 58
  • Endocrinology, Diabetes and Metabolism 181
  • Pathology and Forensic Medicine 125
  • Rehabilitation 23
  • Infectious Diseases 25
  • Molecular Medicine 7
Replace Sara Mareso with:
Sara Mareso Italy
Mansour Amraei Iran
Caroline Letawe Belgium
Luís Uva Portugal
Manas Chatterjee India
Thomas M. Vescio United States
F Matsubara Japan
Carmen Bobeică Romania
Lin Zhan China
Chien-Chun Chiou Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by Daliparthy Devi Pratyush

Since Specialization
Citations

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

Fields of papers citing papers by Daliparthy Devi Pratyush

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daliparthy Devi Pratyush. 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 Daliparthy Devi Pratyush. The network helps show where Daliparthy Devi Pratyush may publish in the future.

Co-authors

The 18 scholars most cited alongside Daliparthy Devi Pratyush, 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 Daliparthy Devi Pratyush Line = papers co-authored together Daliparthy Devi Pratyush links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201283
2 201472
3 201266
4 201137
5 201131
6 201020
7 201116
8 201116
9 201215
10 201315
11 201110
12 201610
13 20178
14 20147
15 20224
16 20123
17 20162
18 20111

About Daliparthy Devi Pratyush

Daliparthy Devi Pratyush is a scholar working on Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine, Nephrology, Computational Theory and Mathematics and Immunology, having authored 18 papers that have together received 416 indexed citations. Recurring topics across this work include Vitamin D Research Studies (7 papers), Diabetic Foot Ulcer Assessment and Management (5 papers), Diabetes Management and Research (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Macrophage Migration Inhibitory Factor (1 paper), Sepsis Diagnosis and Treatment (1 paper), Parathyroid Disorders and Treatments (1 paper) and Hormonal and reproductive studies (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (181 citations), Pathology and Forensic Medicine (125 citations), Rehabilitation (23 citations), Infectious Diseases (25 citations) and Molecular Medicine (7 citations). Daliparthy Devi Pratyush has collaborated with scholars based in India. Frequent co-authors include Shalbha Tiwari, Surya Kumar Singh, Sanjeev Gupta, Madhukar Rai, SANDEEP KUMAR CHAUDHARY, Sunil Kumar Singh, Ravi Kumar Gundampati, Medicherla V. Jagannadham, Moni Kumari and Anurag Sharma. Their work appears in journals such as Diabetes & Metabolic Syndrome Clinical Research & Reviews, British Journal Of Nutrition, Experimental and Clinical Endocrinology & Diabetes, Journal of Surgical Oncology and Journal of Diabetes.

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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