Sandhya Nair

927 total citations
52 papers, 647 citations indexed

About

Sandhya Nair is a scholar working on Hematology, Molecular Biology and Rheumatology. According to data from OpenAlex, Sandhya Nair has authored 52 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Hematology, 13 papers in Molecular Biology and 13 papers in Rheumatology. Recurrent topics in Sandhya Nair's work include Multiple Myeloma Research and Treatments (25 papers), Protein Degradation and Inhibitors (11 papers) and Rheumatoid Arthritis Research and Therapies (10 papers). Sandhya Nair is often cited by papers focused on Multiple Myeloma Research and Treatments (25 papers), Protein Degradation and Inhibitors (11 papers) and Rheumatoid Arthritis Research and Therapies (10 papers). Sandhya Nair collaborates with scholars based in United States, Belgium and Netherlands. Sandhya Nair's co-authors include Paco M J Welsing, J. W. J. Bijlsma, N.S. Remya, F.P.J.G. Lafeber, Prabha D. Nair, Jacob M. van Laar, Maneesha Mehra, Floris P. J. G. Lafeber, Saad Z. Usmani and Annette Lam and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Sandhya Nair

45 papers receiving 636 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sandhya Nair United States 13 240 207 149 144 130 52 647
Paola Masolini Italy 17 165 0.7× 389 1.9× 252 1.7× 157 1.1× 294 2.3× 24 849
Laura Pirilä Finland 16 257 1.1× 76 0.4× 123 0.8× 99 0.7× 74 0.6× 47 649
Peter Noertersheuser United States 10 165 0.7× 118 0.6× 141 0.9× 181 1.3× 63 0.5× 22 626
Kazuko Hirabayashi Japan 12 128 0.5× 213 1.0× 340 2.3× 84 0.6× 58 0.4× 27 783
Amit Agarwal United States 18 146 0.6× 376 1.8× 372 2.5× 85 0.6× 360 2.8× 86 993
Shilpa Paul United States 13 75 0.3× 294 1.4× 122 0.8× 50 0.3× 232 1.8× 41 670
Kathleen Shields United States 11 75 0.3× 85 0.4× 148 1.0× 153 1.1× 91 0.7× 33 634
Tadahiko Igarashi Japan 14 97 0.4× 143 0.7× 131 0.9× 59 0.4× 296 2.3× 45 577
Daniela Belotti Italy 11 111 0.5× 461 2.2× 167 1.1× 185 1.3× 76 0.6× 19 711
Renato Alterini Italy 16 45 0.2× 102 0.5× 86 0.6× 128 0.9× 185 1.4× 42 840

Countries citing papers authored by Sandhya Nair

Since Specialization
Citations

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

Fields of papers citing papers by Sandhya Nair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandhya Nair

This figure shows the co-authorship network connecting the top 25 collaborators of Sandhya Nair. A scholar is included among the top collaborators of Sandhya 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 Sandhya Nair. Sandhya 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
2.
Dhakal, Binod, Hermann Einsele, Jordan M. Schecter, et al.. (2024). Real-world treatment patterns and outcomes in relapsed/refractory multiple myeloma (1-3 prior lines): Flatiron database. Blood Advances. 8(19). 5062–5071. 3 indexed citations
3.
Ye, Jing Christine, Noa Biran, Sandhya Nair, et al.. (2024). P-099 Updated Comparative Effectiveness of Talquetamab vs Real-world Physician's Choice of Treatment in Patients With Triple-Class Exposed Relapsed/Refractory Multiple Myeloma. Clinical Lymphoma Myeloma & Leukemia. 24. S99–S100. 1 indexed citations
4.
Krishnan, Amrita, Ajay K. Nooka, Ajai Chari, et al.. (2023). Teclistamab versus real-world physician’s choice of therapy in triple-class exposed relapsed/refractory multiple myeloma. Journal of Comparative Effectiveness Research. 12(6). e220186–e220186. 8 indexed citations
5.
Fonseca, Rafaël, Thierry Façon, Mahmoud Hashim, et al.. (2023). Impact of Treatment Sequencing on Overall Survival in Patients with Transplant-Ineligible Newly Diagnosed Myeloma. The Oncologist. 28(5). e263–e269. 16 indexed citations
6.
Maisnar, Vladimír, Luděk Pour, Ivan Špıčka, et al.. (2022). Patient Characteristics, Treatment Patterns, and Outcomes in Triple-Class Exposed Relapsed/Refractory Multiple Myeloma Patients, a Retrospective Observational Study Using Czech Registry Data. Clinical Lymphoma Myeloma & Leukemia. 23(2). 145–153. 4 indexed citations
7.
Barreto, Deirisa Lopes, et al.. (2022). Defining the care delivery value chain and mapping the patient journey in rheumatoid arthritis. Rheumatology International. 43(4). 743–750. 3 indexed citations
8.
Mease, Philip J., Iain B. McInnes, Lai‐Shan Tam, et al.. (2021). Comparative effectiveness of guselkumab in psoriatic arthritis: results from systematic literature review and network meta-analysis. Lara D. Veeken. 60(5). 2109–2121. 42 indexed citations
11.
Fonseca, Rafaël, Saad Z. Usmani, Maneesha Mehra, et al.. (2020). Frontline treatment patterns and attrition rates by subsequent lines of therapy in patients with newly diagnosed multiple myeloma. BMC Cancer. 20(1). 1087–1087. 67 indexed citations
12.
Nair, Sandhya, et al.. (2017). Efficacy and safety of bimatoprost in glaucoma and ocular hypertension in non-responder patients. International Journal of Ophthalmology. 10(8). 1251–1254. 8 indexed citations
13.
Nair, Sandhya, Johannes W. G. Jacobs, Marije F. Bakker, et al.. (2016). Determining the Lowest Optimally Effective Methotrexate Dose for Individual RA Patients Using Their Dose Response Relation in a Tight Control Treatment Approach. PLoS ONE. 11(3). e0148791–e0148791. 12 indexed citations
14.
Nair, Sandhya, Roel J.H. Custers, Jacob M. van Laar, et al.. (2016). Knee joint distraction compared to total knee arthroplasty for treatment of end stage osteoarthritis: simulating long-term outcomes and cost-effectiveness. Osteoarthritis and Cartilage. 24. S426–S427. 3 indexed citations
15.
Nair, Sandhya, Paco M J Welsing, Ivy Y. Choi, et al.. (2016). A Personalized Approach to Biological Therapy Using Prediction of Clinical Response Based on MRP8/14 Serum Complex Levels in Rheumatoid Arthritis Patients. PLoS ONE. 11(3). e0152362–e0152362. 21 indexed citations
17.
Welsing, Paco M J, Jan J. Sprengers, J. W. J. Bijlsma, et al.. (2015). Personalized biological treatment for rheumatoid arthritis: a systematic review with a focus on clinical applicability. Lara D. Veeken. 55(5). 826–839. 62 indexed citations
18.
Nair, Sandhya, Paco M J Welsing, J. W. J. Bijlsma, et al.. (2015). Does disease activity add to functional disability in estimation of utility for rheumatoid arthritis patients on biologic treatment?. Lara D. Veeken. 55(1). 94–102. 5 indexed citations
20.
Krieckaert, C., Sandhya Nair, Michael T. Nurmohamed, et al.. (2013). Personalised treatment using serum drug levels of adalimumab in patients with rheumatoid arthritis: an evaluation of costs and effects. Annals of the Rheumatic Diseases. 74(2). 361–368. 77 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026