Aswin Nair

432 total citations
26 papers, 246 citations indexed

About

Aswin Nair is a scholar working on Pulmonary and Respiratory Medicine, Rheumatology and Dermatology. According to data from OpenAlex, Aswin Nair has authored 26 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pulmonary and Respiratory Medicine, 10 papers in Rheumatology and 6 papers in Dermatology. Recurrent topics in Aswin Nair's work include Vasculitis and related conditions (7 papers), Systemic Lupus Erythematosus Research (5 papers) and Renal Diseases and Glomerulopathies (4 papers). Aswin Nair is often cited by papers focused on Vasculitis and related conditions (7 papers), Systemic Lupus Erythematosus Research (5 papers) and Renal Diseases and Glomerulopathies (4 papers). Aswin Nair collaborates with scholars based in India, United States and Canada. Aswin Nair's co-authors include Debashish Danda, Ruchika Goel, George Joseph, Jayakanthan Kabeerdoss, Lakshmanan Jeyaseelan, Ashish Jacob Mathew, Visalakshi Jeyaseelan, Santosh K. Mandal, Peter A. Merkel and Peter C. Grayson and has published in prestigious journals such as SHILAP Revista de lepidopterología, British Journal of Cancer and Annals of the Rheumatic Diseases.

In The Last Decade

Aswin Nair

25 papers receiving 245 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aswin Nair India 9 119 75 58 51 36 26 246
Helena Marco Spain 8 97 0.8× 55 0.7× 145 2.5× 127 2.5× 20 0.6× 9 293
Aleksander Lenert United States 8 31 0.3× 89 1.2× 111 1.9× 13 0.3× 52 1.4× 20 249
Haiguo Yu China 10 33 0.3× 85 1.1× 88 1.5× 11 0.2× 74 2.1× 30 268
Emma Weeding United States 7 89 0.7× 55 0.7× 47 0.8× 13 0.3× 43 1.2× 9 300
Michiko Hasegawa Japan 8 63 0.5× 103 1.4× 39 0.7× 8 0.2× 19 0.5× 19 235
Adrian Papandile United States 5 23 0.2× 64 0.9× 184 3.2× 160 3.1× 58 1.6× 5 403
Jessica Serafinelli Italy 9 37 0.3× 34 0.5× 80 1.4× 144 2.8× 20 0.6× 13 227
Anna Zito Italy 6 39 0.3× 15 0.2× 107 1.8× 125 2.5× 36 1.0× 18 210
Anja Kerstein Germany 7 147 1.2× 46 0.6× 116 2.0× 23 0.5× 61 1.7× 16 232
Nina Weber France 5 46 0.4× 176 2.3× 52 0.9× 12 0.2× 36 1.0× 9 319

Countries citing papers authored by Aswin Nair

Since Specialization
Citations

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

Fields of papers citing papers by Aswin Nair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aswin Nair

This figure shows the co-authorship network connecting the top 25 collaborators of Aswin Nair. A scholar is included among the top collaborators of Aswin Nair 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 Aswin Nair. Aswin Nair 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.
Derrible, Sybil, et al.. (2025). Exploring machine learning models to predict atmospheric water harvesting with an ion deposition membrane. Journal of Water Process Engineering. 72. 107476–107476. 4 indexed citations
2.
Kalyani, P., et al.. (2025). Application of nanomaterial-based fluorescent probes for diabetes detection and care triggered by reactive oxygen species. Journal of Materials Chemistry B. 13(39). 12320–12348. 1 indexed citations
3.
Mukherjee, Manali, Anne Huynh, Aswin Nair, et al.. (2024). Sputum Mucus Rheology, Inflammatory Profile, and CT Mucus Scores in Severe Asthma. A5221–A5221. 1 indexed citations
4.
5.
Nair, Aswin, et al.. (2023). Clinical profile of anti-NXP-2 antibody-positive inflammatory myositis and outcome in an Indian population. Clinical Rheumatology. 42(12). 3289–3297. 3 indexed citations
6.
7.
Irodi, Aparna, Ruchika Goel, John Mathew, et al.. (2021). Mycophenolate in scleroderma-associated interstitial lung disease: Real-world data from rheumatology and pulmonology clinics in South Asia. Journal of Scleroderma and Related Disorders. 6(3). 271–276. 2 indexed citations
8.
Nair, Aswin, John Mathew, Ruchika Goel, et al.. (2021). Mycophenolate in idiopathic inflammatory myositis: outcome data of a large South Asian cohort. Clinical Rheumatology. 40(7). 2805–2819. 8 indexed citations
9.
Gowri, Mahasampath, et al.. (2020). Impact of COVID-19 Pandemic and Resultant Lockdown in India on Patients with Chronic Rheumatic Diseases: An Online Survey. Indian Journal of Rheumatology. 16(1). 30–42. 5 indexed citations
10.
Danda, Debashish, Ruchika Goel, George Joseph, et al.. (2020). Clinical course of 602 patients with Takayasu's arteritis: comparison between Childhood-onset versus adult onset disease. Lara D. Veeken. 60(5). 2246–2255. 45 indexed citations
11.
Nair, Aswin, et al.. (2019). Unique clinical and autoantibody profile of a large Asian Indian cohort of scleroderma—do South Asians have a more aggressive disease?. Clinical Rheumatology. 38(11). 3179–3187. 14 indexed citations
12.
Nair, Aswin, Ruchika Goel, Jayakanthan Kabeerdoss, et al.. (2017). C‐reactive protein gene polymorphisms (rs1205) in Asian Indian patients with Takayasu arteritis: Associations and phenotype correlations. International Journal of Rheumatic Diseases. 21(3). 732–739. 5 indexed citations
13.
Gupta, Nikhil, Santosh K. Mandal, John Mathew, et al.. (2017). Mycophenolate mofetil and deflazacort combination in neuropsychiatric lupus: a decade of experience from a tertiary care teaching hospital in southern India. Clinical Rheumatology. 36(10). 2273–2279. 9 indexed citations
14.
Nair, Aswin, et al.. (2017). Serum amyloid A as a marker of disease activity and treatment response in Takayasu arteritis. Rheumatology International. 37(10). 1643–1649. 19 indexed citations
15.
Mathew, Ashish Jacob, et al.. (2017). Chikungunya Infection: a Global Public Health Menace. Current Allergy and Asthma Reports. 17(2). 13–13. 28 indexed citations
16.
Nair, Aswin, Pulukool Sandhya, Bijesh Yadav, & Debashish Danda. (2017). TNFα blockers followed by continuation of sulfasalazine and methotrexate combination: a retrospective study on cost saving options of treatment in Spondyloarthritis. Clinical Rheumatology. 36(10). 2243–2251. 4 indexed citations
17.
Goel, Ruchika, Jayakanthan Kabeerdoss, Babu Ram, et al.. (2017). Serum Cytokine Profile in Asian Indian Patients with Takayasu Arteritis and its Association with Disease Activity. The Open Rheumatology Journal. 11(1). 23–29. 25 indexed citations
18.
Panwar, Jyoti, et al.. (2017). Utility of CT imaging in differentiating sacroiliitis associated with spondyloarthritis from gouty sacroiliitis: a retrospective study. Clinical Rheumatology. 37(3). 779–788. 6 indexed citations
19.
Goel, Ruchika, Aswin Nair, Jayakanthan Kabeerdoss, et al.. (2017). Study of serial serum myeloid-related protein 8/14 as a sensitive biomarker in Takayasu arteritis: a single centre study. Rheumatology International. 38(4). 623–630. 14 indexed citations
20.

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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