Sandeep K. Agarwal

7.4k total citations
94 papers, 4.1k citations indexed

About

Sandeep K. Agarwal is a scholar working on Rheumatology, Pathology and Forensic Medicine and Immunology. According to data from OpenAlex, Sandeep K. Agarwal has authored 94 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Rheumatology, 30 papers in Pathology and Forensic Medicine and 27 papers in Immunology. Recurrent topics in Sandeep K. Agarwal's work include Systemic Sclerosis and Related Diseases (27 papers), Systemic Lupus Erythematosus Research (19 papers) and Rheumatoid Arthritis Research and Therapies (13 papers). Sandeep K. Agarwal is often cited by papers focused on Systemic Sclerosis and Related Diseases (27 papers), Systemic Lupus Erythematosus Research (19 papers) and Rheumatoid Arthritis Research and Therapies (13 papers). Sandeep K. Agarwal collaborates with scholars based in United States, India and Canada. Sandeep K. Agarwal's co-authors include Gailen D. Marshall, Michael B. Brenner, Filemon K. Tan, Maureen D. Mayes, Frank C. Arnett, Shervin Assassi, John D. Reveille, Hans P. Kiener, Minghua Wu and Pravitt Gourh and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Sandeep K. Agarwal

90 papers receiving 4.0k citations

Peers

Sandeep K. Agarwal

IMMUN

PFM

RHEUM

PRM

Riichiro Abe Japan

P J Roberts-Thomson Australia

Christian Beyer Germany

Giovanni Lapadula Italy

Barry L. Gruber United States

Jiucun Wang China

Bent Deleuran Denmark

Derek L. Mattey United Kingdom

Paul Van Daele Netherlands

C. Françès France

Riichiro Abe Japan

Sandeep K. Agarwal

1.6k ×1.3

IMMUN

827 ×0.8

PFM

750 ×0.8

RHEUM

1.5k ×1.6

554 ×0.8

PRM

Citations per year, relative to Sandeep K. Agarwal Sandeep K. Agarwal (= 1×) peers Riichiro Abe

Countries citing papers authored by Sandeep K. Agarwal

Since Specialization

Citations

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

Fields of papers citing papers by Sandeep K. Agarwal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sandeep K. Agarwal. 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 Sandeep K. Agarwal. The network helps show where Sandeep K. Agarwal may publish in the future.

Co-authorship network of co-authors of Sandeep K. Agarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Sandeep K. Agarwal. A scholar is included among the top collaborators of Sandeep K. Agarwal 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 Sandeep K. Agarwal. Sandeep K. Agarwal 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

Agarwal, Sandeep K., et al.. (2024). Insights into the genetic landscape of systemic sclerosis. Best Practice & Research Clinical Rheumatology. 38(4). 101981–101981. 1 indexed citations

Agarwal, Sandeep K., et al.. (2024). Economic and Humanistic Burden of Rheumatoid Arthritis: Results From the US National Survey Data 2018–2020. ACR Open Rheumatology. 6(11). 746–754. 4 indexed citations

Smith, Jennifer, Mesias Pedroza, Sridevi Devaraj, et al.. (2024). CADHERIN-11 regulation of myeloid phagocytes and autoimmune inflammation in murine lupus. Journal of Autoimmunity. 145. 103197–103197. 4 indexed citations

Arora, Meenakshi, et al.. (2023). Leveraging Lymphatic System Targeting in Systemic Lupus Erythematosus for Improved Clinical Outcomes. Pharmacological Reviews. 76(2). 228–250. 1 indexed citations

Huang, Yinan, Sandeep K. Agarwal, Hua Chen, et al.. (2023). Real-world Comparative Effectiveness of Methotrexate-based Combinations for Rheumatoid Arthritis: A Retrospective Cohort Study. Clinical Therapeutics. 45(9). e177–e186. 2 indexed citations

Huang, Yinan, Sandeep K. Agarwal, Satabdi Chatterjee, et al.. (2023). Risk of incident cardiovascular events with disease-modifying anti-rheumatic drugs among adults with rheumatoid arthritis: a nested case-control study. Clinical Rheumatology. 43(1). 103–116. 2 indexed citations

Varela‐Ramírez, Armando, Renato J. Aguilera, Christine M. Hamadani, et al.. (2023). Topical Administration of an Apoptosis Inducer Mitigates Bleomycin-Induced Skin Fibrosis. ACS Pharmacology & Translational Science. 6(5). 829–841. 3 indexed citations

Bruera, Sebastian, et al.. (2023). Immunosuppression for the treatment of pulmonary hypertension in patients with systemic lupus erythematosus: A systematic review. International Journal of Rheumatic Diseases. 26(6). 1022–1028. 4 indexed citations

Yu, Guoyu, Paul G. Corn, Pengfei Shen, et al.. (2022). Retinoic Acid Receptor Activation Reduces Metastatic Prostate Cancer Bone Lesions by Blocking the Endothelial-to-Osteoblast Transition. Cancer Research. 82(17). 3158–3171. 13 indexed citations

10.

Martin, Jennifer, Catherine García, M. Rizwan Sohail, et al.. (2021). Acute encephalitis, myoclonus and Sweet syndrome after mRNA-1273 vaccine. BMJ Case Reports. 14(7). e243173–e243173. 46 indexed citations

11.

Ganugula, Raghu, et al.. (2020). A highly potent lymphatic system–targeting nanoparticle cyclosporine prevents glomerulonephritis in mouse model of lupus. Science Advances. 6(24). eabb3900–eabb3900. 35 indexed citations

12.

Agarwal, Sandeep K., et al.. (2020). Sacroiliac involvement in Blau Syndrome. Joint Bone Spine. 88(2). 105103–105103. 1 indexed citations

13.

Pedroza, Mesias, et al.. (2017). Targeting of cadherin-11 decreases skin fibrosis in the tight skin-1 mouse model. PLoS ONE. 12(11). e0187109–e0187109. 21 indexed citations

14.

Wu, Minghua, Daniel J. Schneider, Maureen D. Mayes, et al.. (2012). Osteopontin in Systemic Sclerosis and Its Role in Dermal Fibrosis. Journal of Investigative Dermatology. 132(6). 1605–1614. 74 indexed citations

15.

Gourh, Pravitt, Frank C. Arnett, Shervin Assassi, et al.. (2009). Plasma cytokine profiles in systemic sclerosis: associations with autoantibody subsets and clinical manifestations. Arthritis Research & Therapy. 11(5). R147–R147. 121 indexed citations

16.

Hava, David L., Nicole N. van der Wel, Nadia Cohen, et al.. (2008). Evasion of peptide, but not lipid antigen presentation, through pathogen-induced dendritic cell maturation. Proceedings of the National Academy of Sciences. 105(32). 11281–11286. 43 indexed citations

17.

Agarwal, Sandeep K., Filemon K. Tan, & Frank C. Arnett. (2008). Genetics and Genomic Studies in Scleroderma (Systemic Sclerosis). Rheumatic Disease Clinics of North America. 34(1). 17–40. 62 indexed citations

18.

Lee, David M., Hans P. Kiener, Sandeep K. Agarwal, et al.. (2007). Cadherin-11 in Synovial Lining Formation and Pathology in Arthritis. Science. 315(5814). 1006–1010. 320 indexed citations

19.

Agarwal, Sandeep K. & Gailen D. Marshall. (2001). Dexamethasone Promotes Type 2 Cytokine Production Primarily Through Inhibition of Type 1 Cytokines. Journal of Interferon & Cytokine Research. 21(3). 147–155. 79 indexed citations

20.

Agarwal, Sandeep K., et al.. (1999). Perimenstrual alterations in type-1/type-2 cytokine balance of normal women. Annals of Allergy Asthma & Immunology. 83(3). 222–228. 33 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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