Parasar Ghosh

1.7k total citations
71 papers, 1.2k citations indexed

About

Parasar Ghosh is a scholar working on Rheumatology, Immunology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Parasar Ghosh has authored 71 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Rheumatology, 20 papers in Immunology and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Parasar Ghosh's work include Systemic Lupus Erythematosus Research (16 papers), Rheumatoid Arthritis Research and Therapies (12 papers) and Osteoarthritis Treatment and Mechanisms (9 papers). Parasar Ghosh is often cited by papers focused on Systemic Lupus Erythematosus Research (16 papers), Rheumatoid Arthritis Research and Therapies (12 papers) and Osteoarthritis Treatment and Mechanisms (9 papers). Parasar Ghosh collaborates with scholars based in India, United Kingdom and Australia. Parasar Ghosh's co-authors include Alakendu Ghosh, Rudra Prosad Goswami, Geetabali Sircar, Christopher B. Little, Dipankar Sircar, C. R. Bellenger, Sophie Smith, Soumita De, Sunanda Kundu and Mitali Chatterjee and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Diabetes.

In The Last Decade

Parasar Ghosh

63 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Parasar Ghosh India 18 495 274 259 258 242 71 1.2k
Elisa Alessandri Italy 19 188 0.4× 386 1.4× 127 0.5× 175 0.7× 187 0.8× 51 1.3k
Gian Luca Erre Italy 26 844 1.7× 250 0.9× 242 0.9× 390 1.5× 311 1.3× 95 2.0k
Annemie J. Schuerwegh Belgium 23 354 0.7× 191 0.7× 167 0.6× 121 0.5× 409 1.7× 44 1.6k
Richard Herriot United Kingdom 18 187 0.4× 231 0.8× 177 0.7× 102 0.4× 245 1.0× 41 1.1k
Zongwen Shuai China 19 339 0.7× 109 0.4× 171 0.7× 181 0.7× 388 1.6× 81 1.5k
Kyung‐Su Park South Korea 21 562 1.1× 126 0.5× 106 0.4× 107 0.4× 421 1.7× 75 1.5k
Young Ok Jung South Korea 19 284 0.6× 157 0.6× 105 0.4× 96 0.4× 266 1.1× 39 1.2k
Zoltán Csiki Hungary 16 244 0.5× 262 1.0× 101 0.4× 312 1.2× 103 0.4× 62 854
Taro Horino Japan 20 177 0.4× 166 0.6× 112 0.4× 233 0.9× 174 0.7× 117 1.5k
Zafar A. Shah India 23 160 0.3× 333 1.2× 163 0.6× 135 0.5× 195 0.8× 121 1.6k

Countries citing papers authored by Parasar Ghosh

Since Specialization
Citations

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

Fields of papers citing papers by Parasar Ghosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parasar Ghosh

This figure shows the co-authorship network connecting the top 25 collaborators of Parasar Ghosh. A scholar is included among the top collaborators of Parasar 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 Parasar Ghosh. Parasar 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
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Kavadichanda, Chengappa, Liza Rajasekhar, Akansha Srivastava, et al.. (2023). Clusters based on demography, disease phenotype, and autoantibody status predicts mortality in lupus: data from Indian lupus cohort (INSPIRE). Lara D. Veeken. 62(12). 3899–3908. 7 indexed citations
4.
Ghosh, Parasar, et al.. (2023). Refractory Takayasu arteritis with recurrent pyoderma gangrenosum: a therapeutic challenge with case-based review. Clinical Rheumatology. 42(5). 1469–1477. 5 indexed citations
5.
Shobha, Vineeta, Liza Rajasekhar, Chengappa Kavadichanda, et al.. (2023). Pattern of disease expression in SLE patients with antiphospholipid antibodies: data from Indian Systemic Lupus Erythematosus Inception cohort (INSPIRE). Rheumatology International. 44(5). 819–829. 3 indexed citations
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Goswami, Rudra Prosad, et al.. (2022). Evaluation of Subclinical Hand Joint Synovitis by Ultrasonography in Patients with Psoriatic Arthritis and Cutaneous Psoriasis: A Case-Control Study. Mediterranean Journal of Rheumatology. 33(4). 421–421. 2 indexed citations
8.
Palit, Partha, Sabu Thomas, Gaurav Gupta, et al.. (2020). Osteoarthritis: Prognosis and emerging therapeutic approach for disease management. Drug Development Research. 82(1). 49–58. 26 indexed citations
9.
Ghosh, Parasar, et al.. (2020). Role of spirometry in the evaluation of lung involvement in non-smoker rheumatoid arthritis patients. National Journal of Physiology Pharmacy and Pharmacology. 1–1.
10.
Goswami, Rudra Prosad, et al.. (2020). High-resolution ultrasonography in carpal tunnel syndrome: role of ancillary criteria in diagnosis and response to steroid injection. Clinical Rheumatology. 40(3). 1069–1076. 3 indexed citations
11.
Mandal, Moumita, et al.. (2020). Quantification of health-related quality of life among patients with rheumatoid arthritis: An institution-based study in Kolkata, West Bengal. SHILAP Revista de lepidopterología. 9(8). 3970–3970. 6 indexed citations
12.
Rahaman, Oindrila, Chinky Shiu Chen Liu, Deblina Raychaudhuri, et al.. (2019). Cutting Edge: Dysregulated Endocannabinoid-Rheostat for Plasmacytoid Dendritic Cell Activation in a Systemic Lupus Endophenotype. The Journal of Immunology. 202(6). 1674–1679. 12 indexed citations
13.
Hazra, Avijit, et al.. (2018). Oxaceprol versus tramadol for knee osteoarthritis: A randomized controlled trial. Indian Journal of Pharmacology. 50(5). 266–266. 4 indexed citations
14.
Chatterjee, Uttara, et al.. (2018). Orchitis: An unusual presentation of polyarteritis nodosa. Indian Journal of Pathology and Microbiology. 61(4). 600–600. 4 indexed citations
15.
Ghosh, Parasar, et al.. (2015). Extraintestinal manifestations in inflammatory bowel disease: Prevalence and predictors in Indian patients. Indian Journal of Gastroenterology. 34(5). 387–394. 50 indexed citations
16.
Sarkar, Sumantra, Rakesh Mondal, Madhumita Nandi, & Parasar Ghosh. (2014). Chronic tubulo-interstitial nephritis in common variable immunodeficiency: A rare association. Saudi Journal of Kidney Diseases and Transplantation. 25(2). 394–394. 2 indexed citations
17.
Kundu, Sunanda, Asis Bala, Parasar Ghosh, et al.. (2011). Attenuation of oxidative stress by Allylpyrocatechol in synovial cellular infiltrate of patients with Rheumatoid Arthritis. Free Radical Research. 45(5). 518–526. 47 indexed citations
18.
Ghosh, Parasar, Frances Borg, & Bhaskar Dasgupta. (2010). Current understanding and management of giant cell arteritis and polymyalgia rheumatica. Expert Review of Clinical Immunology. 6(6). 913–928. 17 indexed citations
19.
Ghosh, Parasar, et al.. (2008). Cartilage derived peptacans: novel nutraceuticals with immunomodulatory, anti-inflammatory and anti-arthritic activities. Current Topics in Nutraceutical Research. 6(2). 83–98. 1 indexed citations
20.
Ghosh, Parasar. (1986). Thrombocytosis in rheumatoid arthritis. International Journal of Clinical Practice. 40(9). 388–389. 2 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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