Prakamya Gupta

50 total papers · 563 total citations
34 papers, 339 citations indexed

About

Prakamya Gupta is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery. According to data from OpenAlex, Prakamya Gupta has authored 34 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Genetics and 5 papers in Surgery. Recurrent topics in Prakamya Gupta's work include Pituitary Gland Disorders and Treatments (14 papers), Growth Hormone and Insulin-like Growth Factors (9 papers) and Glioma Diagnosis and Treatment (6 papers). Prakamya Gupta is often cited by papers focused on Pituitary Gland Disorders and Treatments (14 papers), Growth Hormone and Insulin-like Growth Factors (9 papers) and Glioma Diagnosis and Treatment (6 papers). Prakamya Gupta collaborates with scholars based in India, United Kingdom and United States. Prakamya Gupta's co-authors include Pinaki Dutta, Kanchan K. Mukherjee, Ashutosh Rai, Sivashanmugam Dhandapani, Anil Bhansali, Shruti Bhatt, Jaya Shankar Kaushik, Saurabh Rajpal, Márta Korbonits and Narendra Kumar and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Prakamya Gupta

28 papers receiving 330 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Prakamya Gupta	165	89	73	57	46	34	339
Simon Attard-Montalto	76 0.5×	43 0.5×	25 0.3×	61 1.1×	67 1.5×	29	403
Çiğdem Pala	31 0.2×	34 0.4×	92 1.3×	51 0.9×	56 1.2×	48	397
Fatih Erbey	20 0.1×	36 0.4×	35 0.5×	58 1.0×	59 1.3×	42	333
Jaivinder Yadav	79 0.5×	75 0.8×	9 0.1×	20 0.4×	33 0.7×	59	310
Harish Chandra	21 0.1×	46 0.5×	37 0.5×	72 1.3×	45 1.0×	24	298
Vinícius Lins Ferreira	66 0.4×	38 0.4×	10 0.1×	31 0.5×	151 3.3×	34	361
Geelhoed Gw	30 0.2×	134 1.5×	13 0.2×	19 0.3×	56 1.2×	38	323
Alberto Mella	22 0.1×	82 0.9×	11 0.2×	31 0.5×	66 1.4×	34	301
D Dufillot	22 0.1×	22 0.2×	63 0.9×	146 2.6×	19 0.4×	24	341
María Sánchez Ledesma	28 0.2×	68 0.8×	11 0.2×	43 0.8×	65 1.4×	35	307

Countries citing papers authored by Prakamya Gupta

Since Specialization

Citations

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

Fields of papers citing papers by Prakamya Gupta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prakamya Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Prakamya Gupta. A scholar is included among the top collaborators of Prakamya Gupta 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 Prakamya Gupta. Prakamya Gupta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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