Suprava Patel

748 total citations
59 papers, 484 citations indexed

About

Suprava Patel is a scholar working on Rheumatology, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Suprava Patel has authored 59 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Rheumatology, 11 papers in Endocrinology, Diabetes and Metabolism and 10 papers in Genetics. Recurrent topics in Suprava Patel's work include Folate and B Vitamins Research (10 papers), Hemoglobinopathies and Related Disorders (9 papers) and Iron Metabolism and Disorders (8 papers). Suprava Patel is often cited by papers focused on Folate and B Vitamins Research (10 papers), Hemoglobinopathies and Related Disorders (9 papers) and Iron Metabolism and Disorders (8 papers). Suprava Patel collaborates with scholars based in India, United States and Australia. Suprava Patel's co-authors include Rachita Nanda, Eli Mohapatra, Bidhan Chandra Koner, Sibasish Sahoo, Alpana Saxena, Binita Goswami, Abhigyan Nath, H. C. Pant, A.K. Misra and Swati Mittal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Theriogenology.

In The Last Decade

Suprava Patel

46 papers receiving 445 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Suprava Patel India 10 156 92 75 61 58 59 484
Anil Kumar Tomar India 13 220 1.4× 69 0.8× 83 1.1× 30 0.5× 222 3.8× 44 646
Amin Kamrani Iran 20 276 1.8× 76 0.8× 16 0.2× 115 1.9× 70 1.2× 39 711
Wenju Liu China 11 148 0.9× 70 0.8× 8 0.1× 64 1.0× 29 0.5× 37 510
Junyi Jiang China 16 595 3.8× 35 0.4× 57 0.8× 201 3.3× 69 1.2× 57 1.0k
Na Di China 14 182 1.2× 42 0.5× 10 0.1× 50 0.8× 133 2.3× 48 638
Andrea Balogh Hungary 14 191 1.2× 23 0.3× 19 0.3× 26 0.4× 33 0.6× 38 574
Renata de Azevedo Canevari Brazil 13 178 1.1× 104 1.1× 20 0.3× 41 0.7× 53 0.9× 37 506
Chen Lv China 13 176 1.1× 14 0.2× 10 0.1× 35 0.6× 15 0.3× 29 479
Huihui Zhao China 15 235 1.5× 27 0.3× 15 0.2× 110 1.8× 15 0.3× 49 571
Sangappa B. Chadchan United States 17 228 1.5× 32 0.3× 16 0.2× 63 1.0× 464 8.0× 27 863

Countries citing papers authored by Suprava Patel

Since Specialization
Citations

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

Fields of papers citing papers by Suprava Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suprava Patel

This figure shows the co-authorship network connecting the top 25 collaborators of Suprava Patel. A scholar is included among the top collaborators of Suprava Patel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Suprava Patel. Suprava Patel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Nath, Abhigyan, Rachita Nanda, Seema Shah, et al.. (2025). Symbolic regression and interpretable ensemble learning approach in determining early onset of diabetic peripheral neuropathy. Egyptian Informatics Journal. 31. 100777–100777.
3.
Rathore, Vinay, Kamlesh Jain, Abhiruchi Galhotra, et al.. (2025). WCN25-3833 PREVALENCE AND CHARACTERISTICS OF CHRONIC KIDNEY DISEASE IN ENDEMIC VILLAGES OF CHRONIC KIDNEY DISEASE OF UNKNOWN ETIOLOGY IN GARIYABAND DISTRICT OF CHHATTISGARH. Kidney International Reports. 10(2). S322–S323.
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Patel, Suprava, et al.. (2024). Effect of Unmetabolized Folic Acid on Immunoinflammatory Markers in Sickle Cell Disease Patients Taking Folic Acid Supplementation. Indian Journal of Clinical Biochemistry. 39(4). 557–564. 1 indexed citations
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Patel, Suprava, et al.. (2023). Altered T-Cell Profile in Sickle Cell Disease. Biomarkers in Medicine. 17(5). 241–252.
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Patel, Suprava, et al.. (2023). Association of Methylenetetrahydrofolate Reductase Gene Polymorphism in Mothers With Adverse Clinical Outcomes in Neonates. Cureus. 15(4). e38001–e38001. 4 indexed citations
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Nanda, Rachita, Abhigyan Nath, Suprava Patel, & Eli Mohapatra. (2022). Machine learning algorithm to evaluate risk factors of diabetic foot ulcers and its severity. Medical & Biological Engineering & Computing. 60(8). 2349–2357. 32 indexed citations
15.
Patel, Suprava, et al.. (2021). Newborn Thyroid-Stimulating Hormone Dynamicity as per the Antenatal and Perinatal Factors. SHILAP Revista de lepidopterología. 12(3). 58–67.
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Patel, Suprava, et al.. (2021). Retrospective analysis to identify the association of various determinants on birth weight. Journal of Family Medicine and Primary Care. 10(1). 496–501. 5 indexed citations
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Nanda, Rachita, et al.. (2021). Uncommon antinuclear antibody patterns as diagnostic indicators. Clinical Biochemistry. 90. 28–33. 7 indexed citations
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Shah, Seema, et al.. (2020). Antinuclear Antibody Profiling in Patients of a Tertiary Care Centre in Central India. Indian Journal of Clinical Biochemistry. 36(3). 345–352. 2 indexed citations
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Patel, Suprava, et al.. (2017). Anemia prevalence in adolescent school going girls. 8(4). 16364–16366.
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Patel, Suprava, et al.. (2016). Predictive Role of Fasting and PostPrandial Glucose towards Glycemic Control. SHILAP Revista de lepidopterología.

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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