Sujoy Ghosh

4.4k total citations
197 papers, 2.1k citations indexed

About

Sujoy Ghosh is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics. According to data from OpenAlex, Sujoy Ghosh has authored 197 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Endocrinology, Diabetes and Metabolism, 39 papers in Surgery and 34 papers in Genetics. Recurrent topics in Sujoy Ghosh's work include Diabetes Management and Research (35 papers), Diabetes Treatment and Management (34 papers) and Pituitary Gland Disorders and Treatments (22 papers). Sujoy Ghosh is often cited by papers focused on Diabetes Management and Research (35 papers), Diabetes Treatment and Management (34 papers) and Pituitary Gland Disorders and Treatments (22 papers). Sujoy Ghosh collaborates with scholars based in India, United Kingdom and United States. Sujoy Ghosh's co-authors include Subhankar Chowdhury, Pradip Mukhopadhyay, Satinath Mukhopadhyay, Andrew Collier, Kaushik Pandit, Deep Dutta, Debmalya Sanyal, Soumik Goswami, Banshi Saboo and Mario Hair and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Diabetes.

In The Last Decade

Sujoy Ghosh

176 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sujoy Ghosh India 21 1.0k 366 312 299 261 197 2.1k
Deep Dutta India 27 1.1k 1.1× 476 1.3× 440 1.4× 388 1.3× 197 0.8× 247 2.6k
Lorenzo Scappaticcio Italy 26 1.4k 1.4× 174 0.5× 465 1.5× 374 1.3× 272 1.0× 94 2.1k
Femmie de Vegt Netherlands 22 1.3k 1.3× 300 0.8× 217 0.7× 433 1.4× 202 0.8× 37 2.5k
Rousseau Gama United Kingdom 21 460 0.5× 228 0.6× 258 0.8× 180 0.6× 166 0.6× 131 1.6k
Theocharis Koufakis Greece 20 520 0.5× 170 0.5× 269 0.9× 274 0.9× 186 0.7× 156 1.4k
Charles Turner United Kingdom 31 360 0.4× 505 1.4× 335 1.1× 401 1.3× 213 0.8× 87 2.6k
José Gerardo González‐González Mexico 25 1.3k 1.3× 489 1.3× 573 1.8× 595 2.0× 107 0.4× 126 2.6k
Solomon K. Musani United States 25 446 0.4× 451 1.2× 198 0.6× 318 1.1× 254 1.0× 85 1.9k
Andrew Don-Wauchope Canada 22 1.2k 1.2× 369 1.0× 406 1.3× 345 1.2× 97 0.4× 49 2.5k
Rosalinda Posadas‐Sánchez Mexico 22 355 0.4× 380 1.0× 300 1.0× 308 1.0× 158 0.6× 136 1.7k

Countries citing papers authored by Sujoy Ghosh

Since Specialization
Citations

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

Fields of papers citing papers by Sujoy Ghosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sujoy Ghosh

This figure shows the co-authorship network connecting the top 25 collaborators of Sujoy Ghosh. A scholar is included among the top collaborators of Sujoy Ghosh 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 Sujoy Ghosh. Sujoy Ghosh 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
1.
Neogi, Subhasis, et al.. (2025). Composite renal outcome in prospectively performed biopsy proven diabetic kidney disease versus non-diabetic kidney disease: A longitudinal follow up. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 19(4). 103237–103237.
2.
Mukhopadhyay, Pradip, et al.. (2023). SGLT2 Inhibitors: Effect on Myocardial Infarction and Stroke in Type 2 Diabetes. The Journal of Clinical Endocrinology & Metabolism. 108(8). 2134–2140. 10 indexed citations
3.
Dutta, Susmita, et al.. (2023). Detection of driver mutations in plasma cell–free nucleic acids in differentiated thyroid neoplasm. European Journal of Endocrinology. 188(1). 135–143. 4 indexed citations
4.
Mukhopadhyay, Pradip, et al.. (2023). Spectrum of Adrenal Dysfunction in Hemoglobin E/Beta Thalassemia. The Journal of Clinical Endocrinology & Metabolism. 109(2). e562–e568.
5.
Banerjee, Mainak, et al.. (2023). Corneal Confocal Microscopy Abnormalities in Children and Adolescents With Type 1 Diabetes. Endocrine Practice. 29(9). 692–698. 2 indexed citations
6.
Mukhopadhyay, Pradip, et al.. (2022). Different Sodium-Glucose Cotransporter-2 Inhibitors: Can They Prevent Death?. Endocrine Practice. 28(8). 795–801. 4 indexed citations
7.
Mukhopadhyay, Pradip, et al.. (2022). Fabkin and glucose homeostasis. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 16(8). 102565–102565. 4 indexed citations
8.
Neogi, Subhasis, Mainak Banerjee, Nitai P. Bhattacharyya, et al.. (2022). Prevalence of non-diabetic kidney disease and inability of clinical predictors to differentiate it from diabetic kidney disease: results from a prospectively performed renal biopsy study. BMJ Open Diabetes Research & Care. 10(6). e003058–e003058. 6 indexed citations
9.
Mukhopadhyay, Pradip, et al.. (2022). Model of care for Type 1 diabetes in India: Integrated approach for its incorporation in future national health care policy. The Lancet Regional Health - Southeast Asia. 3. 100014–100014. 4 indexed citations
10.
Mukhopadhyay, Pradip, et al.. (2021). Sexual Dysfunction in Sheehan Syndrome. Endocrine Practice. 27(12). 1212–1215. 3 indexed citations
11.
Laha, Sayantan, Chinmay Saha, Susmita Dutta, et al.. (2021). In silico analysis of altered expression of long non-coding RNA in SARS-CoV-2 infected cells and their possible regulation by STAT1, STAT3 and interferon regulatory factors. Heliyon. 7(3). e06395–e06395. 31 indexed citations
12.
Mukhopadhyay, Pradip, et al.. (2021). Periodontal Disease in Type 1 Diabetes Mellitus: Influence of Pubertal Stage and Glycemic Control. Endocrine Practice. 27(8). 765–768. 9 indexed citations
13.
Chowdhury, Rukhsana, et al.. (2021). Microbiology of periodontal disease in adolescents with Type 1 diabetes. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 15(6). 102333–102333. 7 indexed citations
14.
15.
Mukhopadhyay, Pradip, et al.. (2020). Total T4 rise in pregnancy: a relook?. Thyroid Research. 13(1). 14–14. 5 indexed citations
16.
Ghosh, Sujoy, et al.. (2020). Cardiovascular safety of Glimepiride: An indirect comparison from CAROLINA and CARMELINA. Diabetes and Vascular Disease Research. 17(6). 3154035029–3154035029. 6 indexed citations
17.
Mukhopadhyay, Pradip, Kshaunish Das, Samim Ali Mondal, et al.. (2020). Incretins in fibrocalculous pancreatic diabetes: A unique subtype of pancreatogenic diabetes. Journal of Diabetes. 13(6). 506–511. 4 indexed citations
18.
Ghosh, Sujoy, et al.. (2019). Levothyroxine Absorption Test to Differentiate Pseudomalabsorption from True Malabsorption. European Thyroid Journal. 9(1). 19–24. 19 indexed citations
19.
Dhamija, Puneet, Sanjay Kalra, Pramod Kumar Sharma, et al.. (2017). Indian College of Physicians (ICP) Position Statement on Pharmacovigilance.. PubMed. 65(3). 63–66. 4 indexed citations
20.
Ghosh, Sujoy, et al.. (1987). It's Scotland's blood, so why waste it? A survey of blood ordering habits in the Tayside Region.. PubMed. 32(2). 69–71. 6 indexed citations

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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