Sandhya Nair

927 citations
52 papers · 647 · h-index 13

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
    • Autoimmune and Inflammatory Disorders Research
    • Rheumatoid Arthritis Research and Therapies
    • Systemic Lupus Erythematosus Research
    • Osteoarthritis Treatment and Mechanisms

Papers in

Sandhya Nair

45 papers receiving 636 citations

Peers

Sandhya Nair
Comparison fields: 5 of 84
  • Hematology 207
  • Rheumatology 240
  • Molecular Medicine 41
  • Immunology 144
  • Genetics 55
Replace Dino Tarabar with:
Dino Tarabar Serbia
D. Lokanatha India
Jingru Tian China
Runzhe Chen China
Petr Szturz Czechia
Amit Agarwal United States
Kathleen Shields United States
Frank Giles United States
Martin Schwonzen Germany
Michael J. Krisinger Canada
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Citations per field
00.5×5.2×
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Citations per year

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-authors

The 25 scholars most cited alongside Sandhya Nair, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sandhya Nair Line = papers co-authored together Sandhya Nair links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201180
2 201377
3 202067
4 201562
5 202142
6 201433
7 201630
8 201829
9 201621
10 202120
11 202119
12 202316
13 201915
14 201612
15 202110
16 20139
17 20189
18 20238
19 20178
20 20237

About Sandhya Nair

Sandhya Nair is a scholar working on Hematology, Molecular Biology, Rheumatology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 52 papers that have together received 647 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (25 papers), Protein Degradation and Inhibitors (11 papers), Rheumatoid Arthritis Research and Therapies (10 papers), Prostate Cancer Treatment and Research (5 papers), Cancer Treatment and Pharmacology (4 papers), Biosimilars and Bioanalytical Methods (4 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers) and Systemic Lupus Erythematosus Research (4 papers). The work is most often cited by research in Hematology (207 citations), Rheumatology (240 citations), Molecular Medicine (41 citations), Immunology (144 citations) and Genetics (55 citations). Sandhya Nair has collaborated with scholars based in United States, Belgium and Netherlands. Frequent co-authors include Paco M J Welsing, J. W. J. Bijlsma, N.S. Remya, Prabha D. Nair, F.P.J.G. Lafeber, Jacob M. van Laar, Maneesha Mehra, Floris P. J. G. Lafeber, Annette Lam and Saad Z. Usmani. Their work appears in journals such as Journal of Clinical Oncology, Blood, PLoS ONE, Annals of the Rheumatic Diseases and Lara D. Veeken.

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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