Dipayan Roy

1.5k total citations
70 papers, 1.0k citations indexed

About

Dipayan Roy is a scholar working on Neurology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Dipayan Roy has authored 70 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Neurology, 15 papers in Molecular Biology and 14 papers in Infectious Diseases. Recurrent topics in Dipayan Roy's work include Long-Term Effects of COVID-19 (11 papers), GDF15 and Related Biomarkers (7 papers) and Infectious Encephalopathies and Encephalitis (7 papers). Dipayan Roy is often cited by papers focused on Long-Term Effects of COVID-19 (11 papers), GDF15 and Related Biomarkers (7 papers) and Infectious Encephalopathies and Encephalitis (7 papers). Dipayan Roy collaborates with scholars based in India, Spain and Singapore. Dipayan Roy's co-authors include Melvin Schindler, Sanford M. Simon, Julián Benito‐León, Ritwik Ghosh, Purvi Purohit, Praveen Sharma, Anupama Modi, Manoj Khokhar, Souvik Dubey and Shailja Sharma and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and International Journal of Molecular Sciences.

In The Last Decade

Dipayan Roy

63 papers receiving 986 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dipayan Roy India 19 342 248 145 136 122 70 1.0k
Sabine Weber Germany 21 248 0.7× 397 1.6× 67 0.5× 106 0.8× 101 0.8× 67 1.6k
Maddalena Raia Italy 20 374 1.1× 75 0.3× 58 0.4× 105 0.8× 151 1.2× 52 1.0k
John Connelly United States 16 521 1.5× 124 0.5× 74 0.5× 216 1.6× 111 0.9× 36 1.1k
Jinghong Li China 20 621 1.8× 87 0.4× 97 0.7× 521 3.8× 89 0.7× 87 1.4k
Fangfang Lu China 21 712 2.1× 127 0.5× 41 0.3× 82 0.6× 152 1.2× 58 1.3k
Corinna Seliger Germany 16 344 1.0× 105 0.4× 71 0.5× 190 1.4× 235 1.9× 44 809
Franz Zimmermann Austria 21 1.2k 3.4× 141 0.6× 59 0.4× 59 0.4× 232 1.9× 56 1.7k
Sunil Kumar India 18 484 1.4× 182 0.7× 31 0.2× 101 0.7× 39 0.3× 97 1.2k
Aru Narendran Canada 25 908 2.7× 178 0.7× 65 0.4× 516 3.8× 210 1.7× 115 1.7k
Chenhui Zhao China 15 385 1.1× 126 0.5× 248 1.7× 88 0.6× 199 1.6× 47 1.0k

Countries citing papers authored by Dipayan Roy

Since Specialization
Citations

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

Fields of papers citing papers by Dipayan Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dipayan Roy

This figure shows the co-authorship network connecting the top 25 collaborators of Dipayan Roy. A scholar is included among the top collaborators of Dipayan Roy 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 Dipayan Roy. Dipayan Roy 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.
Ghosh, Ritwik, et al.. (2024). Rare neurological and neuropsychiatric manifestations of scrub typhus: a case series of 10 cases. Neurología. 39(9). 766–780. 2 indexed citations
2.
Ghosh, Ritwik, Souvik Dubey, Dipayan Roy, Sonia Mayo, & Julián Benito‐León. (2024). Congenital myasthenia syndrome with demyelinating sensorimotor neuropathy responsive to salbutamol monotherapy: a novel clinical phenotype of CHRNE mutation. Neurological Sciences. 45(7). 3555–3558.
3.
Roy, Dipayan, Purvi Purohit, Manoj Khokhar, et al.. (2023). Analyzing the Association of Visceral Adipose Tissue Growth Differentiation Factor-15 and MicroRNA in Type 2 Diabetes Mellitus. Journal of Obesity & Metabolic Syndrome. 32(1). 64–76. 2 indexed citations
4.
Roy, Dipayan, Anupama Modi, Purvi Purohit, et al.. (2022). Growth Differentiation Factor-15 as a Candidate Biomarker in Gynecologic Malignancies: A Meta-analysis. Cancer Investigation. 40(10). 901–910. 2 indexed citations
5.
Modi, Anupama, Purvi Purohit, Dipayan Roy, et al.. (2022). FOXM1 mediates GDF-15 dependent stemness and intrinsic drug resistance in breast cancer. Molecular Biology Reports. 49(4). 2877–2888. 22 indexed citations
6.
Purohit, Purvi, Dipayan Roy, Shailendra Dwivedi, Naresh Nebhinani, & Praveen Sharma. (2022). Association of miR-155, miR-187 and Inflammatory Cytokines IL-6, IL-10 and TNF-α in Chronic Opium Abusers. Inflammation. 45(2). 554–566. 11 indexed citations
7.
Khokhar, Manoj, et al.. (2022). Novel Molecular Networks and Regulatory MicroRNAs in Type 2 Diabetes Mellitus: Multiomics Integration and Interactomics Study. PubMed. 3(1). e32437–e32437. 7 indexed citations
8.
Modi, Anupama, Dipayan Roy, Shailja Sharma, et al.. (2022). ABC transporters in breast cancer: their roles in multidrug resistance and beyond. Journal of drug targeting. 30(9). 927–947. 58 indexed citations
9.
10.
Tomo, Sojit, Dipayan Roy, Purvi Purohit, et al.. (2021). Complement activation and coagulopathy - an ominous duo in COVID19. Expert Review of Hematology. 14(2). 155–173. 24 indexed citations
11.
12.
Roy, Dipayan, et al.. (2021). CRISPR/Cas-New Molecular Scissors in Diagnostics and Therapeutics of COVID-19. Indian Journal of Clinical Biochemistry. 36(4). 459–467. 11 indexed citations
13.
Khokhar, Manoj, et al.. (2021). Metformin mediates MicroRNA-21 regulated circulating matrix metalloproteinase-9 in diabetic nephropathy: an in-silico and clinical study. Archives of Physiology and Biochemistry. 129(6). 1200–1210. 22 indexed citations
14.
Ghosh, Ritwik, et al.. (2021). Scrub Typhus Masquerading as Limbic Encephalitis. The Neurohospitalist. 12(1). 105–110. 8 indexed citations
15.
Ghosh, Ritwik, Souvik Dubey, Dipayan Roy, et al.. (2021). Choreo-ballistic movements heralding COVID-19 induced diabetic ketoacidosis. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 15(3). 913–917. 15 indexed citations
16.
Ghosh, Ritwik, et al.. (2021). Cerebral venous thrombosis in COVID-19. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 15(3). 1039–1045. 36 indexed citations
17.
Khokhar, Manoj, Purvi Purohit, Dipayan Roy, et al.. (2020). Acute kidney injury in COVID 19 – an update on pathophysiology and management modalities. Archives of Physiology and Biochemistry. 129(3). 626–639. 6 indexed citations
18.
Khokhar, Manoj, Dipayan Roy, Anupama Modi, et al.. (2020). Perspectives on the role of PTEN in diabetic nephropathy: an update. Critical Reviews in Clinical Laboratory Sciences. 57(7). 470–483. 32 indexed citations
19.
Modi, Anupama, Shailendra Dwivedi, Dipayan Roy, et al.. (2019). Growth differentiation factor 15 and its role in carcinogenesis: an update. Growth Factors. 37(3-4). 190–207. 31 indexed citations
20.
Roy, Dipayan. (2016). Analysis of Technical Efficiency of Indian Banking Sector: An Application of Data Envelopment Analysis. International Journal of Finance & Banking Studies (2147-4486). 3(1). 150–150. 7 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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