Nisha Nair

771 total citations
40 papers, 442 citations indexed

About

Nisha Nair is a scholar working on Rheumatology, Genetics and Hematology. According to data from OpenAlex, Nisha Nair has authored 40 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Rheumatology, 9 papers in Genetics and 9 papers in Hematology. Recurrent topics in Nisha Nair's work include Rheumatoid Arthritis Research and Therapies (24 papers), Chronic Lymphocytic Leukemia Research (9 papers) and Systemic Lupus Erythematosus Research (8 papers). Nisha Nair is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (24 papers), Chronic Lymphocytic Leukemia Research (9 papers) and Systemic Lupus Erythematosus Research (8 papers). Nisha Nair collaborates with scholars based in United Kingdom, Ireland and United States. Nisha Nair's co-authors include Anne Barton, Darren Plant, Anthony G. Wilson, Kimme L Hyrich, John D. Isaacs, Suzanne Verstappen, Ann W Morgan, Samantha Smith, Stephen Eyre and Mateusz Maciejewski and has published in prestigious journals such as Scientific Reports, Journal of Allergy and Clinical Immunology and Annals of the Rheumatic Diseases.

In The Last Decade

Nisha Nair

37 papers receiving 440 citations

Peers

Nisha Nair

RHEUM

IMMUN

HEMAT

GENET

Chun Lai Too Malaysia

Sung‐Hwan Park South Korea

Robert Lemoine Switzerland

Smriti Chaurasia India

Christine Song Canada

Yongjing Cheng China

Emanuela Campalani United Kingdom

M. M. Tongio France

Shicong Yang China

Xin Ji China

Chun Lai Too Malaysia

Nisha Nair

240 ×1.1

RHEUM

81 ×0.7

120 ×1.1

IMMUN

40 ×0.5

HEMAT

26 ×0.4

GENET

Citations per year, relative to Nisha Nair Nisha Nair (= 1×) peers Chun Lai Too

Countries citing papers authored by Nisha Nair

Since Specialization

Citations

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

Fields of papers citing papers by Nisha Nair

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nisha Nair

This figure shows the co-authorship network connecting the top 25 collaborators of Nisha Nair. A scholar is included among the top collaborators of Nisha 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 Nisha Nair. Nisha Nair is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ling, Stephanie F, Kayode Ogungbenro, Adam S. Darwich, et al.. (2024). Population Pharmacokinetic Analysis and Simulation of Alternative Dosing Regimens for Biosimilars to Adalimumab and Etanercept in Patients with Rheumatoid Arthritis. Pharmaceutics. 16(6). 702–702.

Hum, Ryan Malcolm, Seema Sharma, Michael A. Stadler, et al.. (2023). Using Polygenic Risk Scores to Aid Diagnosis of Patients With Early Inflammatory Arthritis: Results From the Norfolk Arthritis Register. Arthritis & Rheumatology. 76(5). 696–703. 6 indexed citations

Nair, Nisha, Darren Plant, Suzanne Verstappen, et al.. (2023). Identification of Cell‐Specific Differential DNA Methylation Associated With Methotrexate Treatment Response in Rheumatoid Arthritis. Arthritis & Rheumatology. 75(7). 1088–1097. 10 indexed citations

Ling, Stephanie F, Nisha Nair, James Bluett, et al.. (2023). A proteomics study of rheumatoid arthritis patients on etanercept identifies putative biomarkers associated with clinical outcome measures. Lara D. Veeken. 63(4). 1015–1021. 2 indexed citations

Goldmann, Katriona, Athina Spiliopoulou, Darren Plant, et al.. (2023). Expression quantitative trait loci analysis in rheumatoid arthritis identifies tissue specific variants associated with severity and outcome. Annals of the Rheumatic Diseases. 83(3). 288–299. 8 indexed citations

Nair, Nisha & Anthony G. Wilson. (2023). Assessing the potential of epigenetic targets as biomarkers in the diagnosis and treatment of rheumatoid arthritis. Expert Review of Clinical Immunology. 19(5). 483–488. 2 indexed citations

Sharma, Seema, et al.. (2022). OP0088 STRATIFIED MEDICINE: GENETIC PREDICTORS OF RADIOGRAPHIC OUTCOME IN RHEUMATOID ARTHRITIS. Annals of the Rheumatic Diseases. 81. 58–59. 1 indexed citations

Nair, Nisha, Ann W Morgan, John D. Isaacs, et al.. (2022). Pre-defined gene co-expression modules in rheumatoid arthritis transition towards molecular health following anti-TNF therapy. Lara D. Veeken. 61(12). 4935–4944. 4 indexed citations

Nair, Nisha, Anne Barton, & Anthony G. Wilson. (2021). Cell-Specific Epigenetic Drivers of Pathogenesis in Rheumatoid Arthritis. Epigenomics. 13(7). 549–560. 7 indexed citations

10.

Didikoğlu, Altuğ, Nisha Nair, Andrew Robinson, et al.. (2021). The effect of season of birth on brain epigenome-wide DNA methylation of older adults. Journal of Developmental Origins of Health and Disease. 13(3). 367–377. 5 indexed citations

11.

Maciejewski, Mateusz, Caroline Sands, Nisha Nair, et al.. (2021). Prediction of response of methotrexate in patients with rheumatoid arthritis using serum lipidomics. Scientific Reports. 11(1). 7266–7266. 29 indexed citations

12.

Dagliati, Arianna, Darren Plant, Nisha Nair, et al.. (2020). Latent Class Trajectory Modeling of 2‐Component Disease Activity Score in 28 Joints Identifies Multiple Rheumatoid Arthritis Phenotypes of Response to Biologic Disease‐Modifying Antirheumatic Drugs. Arthritis & Rheumatology. 72(10). 1632–1642. 9 indexed citations

13.

Nair, Nisha, Darren Plant, Kimme L Hyrich, et al.. (2020). Pharmacogenetics of Tnf Inhibitor⟒esponse in Rheumatoid Arthritis Utilizing the Two-Component Disease Activity Score. Pharmacogenomics. 21(16). 1151–1156. 3 indexed citations

14.

Nair, Nisha, et al.. (2020). Predicting treatment response to IL6R blockers in rheumatoid arthritis. Lara D. Veeken. 59(12). 3603–3610. 18 indexed citations

15.

Nair, Nisha & Anthony G. Wilson. (2019). Can machine learning predict responses to TNF inhibitors?. Nature Reviews Rheumatology. 15(12). 702–704. 6 indexed citations

16.

Ling, Stephanie F, Nisha Nair, Suzanne Verstappen, et al.. (2019). Proteomic analysis to define predictors of treatment response to adalimumab or methotrexate in rheumatoid arthritis patients. The Pharmacogenomics Journal. 20(3). 516–523. 9 indexed citations

17.

Nair, Nisha, Darren Plant, Suzanne Verstappen, et al.. (2019). Differential DNA methylation correlates with response to methotrexate in rheumatoid arthritis. Lara D. Veeken. 59(6). 1364–1371. 49 indexed citations

18.

Ling, Stephanie F, Nisha Nair, Darren Plant, et al.. (2019). SAT0098 ANTIBODIES AGAINST CITRULLINATED ANTIGENS ARE ASSOCIATED WITH TREATMENT RESPONSE IN ACPA-NEGATIVE RHEUMATOID ARTHRITIS PATIENTS. Annals of the Rheumatic Diseases. 78. 1115–1115.

19.

Plant, Darren, Mateusz Maciejewski, Samantha Smith, et al.. (2019). 018 Gene expression profiling identifies classifier of methotrexate non-response in patients with rheumatoid arthritis. Lara D. Veeken. 58(Supplement_3). 2 indexed citations

20.

Nair, Nisha, Darren Plant, John D. Isaacs, et al.. (2017). THU0001 Differential methylation as a potential biomarker of methotrexate response in patients with rheumatoid arthritis. Annals of the Rheumatic Diseases. 76. 200–200. 1 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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