Ram Raj Singh

4.8k total citations
81 papers, 3.6k citations indexed

About

Ram Raj Singh is a scholar working on Immunology, Rheumatology and Pathology and Forensic Medicine. According to data from OpenAlex, Ram Raj Singh has authored 81 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Immunology, 31 papers in Rheumatology and 16 papers in Pathology and Forensic Medicine. Recurrent topics in Ram Raj Singh's work include T-cell and B-cell Immunology (37 papers), Systemic Lupus Erythematosus Research (26 papers) and Immune Cell Function and Interaction (25 papers). Ram Raj Singh is often cited by papers focused on T-cell and B-cell Immunology (37 papers), Systemic Lupus Erythematosus Research (26 papers) and Immune Cell Function and Interaction (25 papers). Ram Raj Singh collaborates with scholars based in United States, China and India. Ram Raj Singh's co-authors include E. Yen, Fanny M. Ebling, Vijay Saxena, Bevra H. Hahn, Anagha Divekar, Jun‐Qi Yang, Betty P. Tsao, Luc Van Kaer, David W. Gjertson and Maida Wong and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and Annals of Internal Medicine.

In The Last Decade

Ram Raj Singh

80 papers receiving 3.6k citations

Peers

Ram Raj Singh
Kenneth M. Kaufman United States
Ram Raj Singh
Citations per year, relative to Ram Raj Singh Ram Raj Singh (= 1×) peers Kenneth M. Kaufman

Countries citing papers authored by Ram Raj Singh

Since Specialization
Citations

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

Fields of papers citing papers by Ram Raj Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ram Raj Singh. 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 Ram Raj Singh. The network helps show where Ram Raj Singh may publish in the future.

Co-authorship network of co-authors of Ram Raj Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Ram Raj Singh. A scholar is included among the top collaborators of Ram Raj Singh 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 Ram Raj Singh. Ram Raj Singh 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.
Wang, Meiying, et al.. (2022). Diverse Roles of NETosis in the Pathogenesis of Lupus. Frontiers in Immunology. 13. 895216–895216. 27 indexed citations
2.
Jacob, Noam, Viet L. Bui, Jihane N. Benhammou, et al.. (2019). Generalized Cytokine Increase in the Setting of a Multisystem Clinical Disorder and Carcinoid Syndrome Associated with a Novel NLRP12 Variant. Digestive Diseases and Sciences. 64(8). 2140–2146. 8 indexed citations
3.
Capri, Joseph, Puneet Souda, David Elashoff, et al.. (2019). Quantitative Proteomics Using Formalin-fixed, Paraffin-embedded Biopsy Tissues in Inflammatory Disease. PubMed. 12(7). 104–112. 5 indexed citations
4.
Wang, Meiying, Peng Zhang, Jiyang Lv, et al.. (2019). Heparin and aspirin combination therapy restores T-cell phenotype in pregnant patients with antiphospholipid syndrome-related recurrent pregnancy loss. Clinical Immunology. 208. 108259–108259. 13 indexed citations
5.
Schiopu, Elena, Maureen McMahon, Mariana J. Kaplan, et al.. (2013). Prevalence of subclinical atherosclerosis is increased in systemic sclerosis and is associated with serum proteins: a cross-sectional, controlled study of carotid ultrasound. Lara D. Veeken. 53(4). 704–713. 36 indexed citations
6.
Caza, Tiffany, David Fernández, Gergely Talabér, et al.. (2013). HRES-1/Rab4-mediated depletion of Drp1 impairs mitochondrial homeostasis and represents a target for treatment in SLE. Annals of the Rheumatic Diseases. 73(10). 1888–1897. 144 indexed citations
7.
Divekar, Anagha, Dinesh Khanna, Fereidoun Abtin, et al.. (2011). pDCs and IL-4+ T-cells in scleroderma as novel targets of imatinib mesylate (44.18). The Journal of Immunology. 186(1_Supplement). 44.18–44.18. 2 indexed citations
8.
Divekar, Anagha, Dinesh Khanna, Fereidoun Abtin, et al.. (2011). Treatment with imatinib results in reduced IL-4-producing T cells, but increased CD4+ T cells in the broncho-alveolar lavage of patients with systemic sclerosis. Clinical Immunology. 141(3). 293–303. 17 indexed citations
9.
Divekar, Anagha, Sasidhar Venkata Manda, Sienmi Du, et al.. (2008). A role for sex chromosome complement in the female bias in autoimmune disease. The Journal of Experimental Medicine. 205(5). 1099–1108. 274 indexed citations
10.
Wong, Maida, David Ziring, Yael Korin, et al.. (2007). TNFα blockade in human diseases: Mechanisms and future directions. Clinical Immunology. 126(2). 121–136. 236 indexed citations
11.
Bommireddy, Ramireddy, Jennifer M. Martin, Ilona Ormsby, et al.. (2006). Self-antigen recognition by TGFβ1-deficient T cells causes their activation and systemic inflammation. Laboratory Investigation. 86(10). 1008–1019. 17 indexed citations
12.
Hahn, Bevra H., et al.. (2005). Cellular and Molecular Mechanisms of Regulation of Autoantibody Production in Lupus. Annals of the New York Academy of Sciences. 1051(1). 433–441. 38 indexed citations
13.
Yang, Jun‐Qi, Taehoon Chun, Hongzhu Liu, et al.. (2004). CD1d deficiency exacerbates inflammatory dermatitis in MRL‐lpr/lpr mice. European Journal of Immunology. 34(6). 1723–1732. 49 indexed citations
14.
Karpouzas, George, Antonio La Cava, Fanny M. Ebling, Ram Raj Singh, & Bevra H. Hahn. (2004). Differences between CD8+ T cells in lupus‐prone (NZB × NZW) F1 mice and healthy (BALB/c × NZW) F1 mice may influence autoimmunity in the lupus model. European Journal of Immunology. 34(9). 2489–2499. 24 indexed citations
15.
Singh, Avneesh K., Michael T. Wilson, Minoru Satoh, et al.. (2003). Immunoregulatory Role of CD1d in the Hydrocarbon Oil-Induced Model of Lupus Nephritis. The Journal of Immunology. 171(4). 2142–2153. 72 indexed citations
16.
Bommireddy, Ramireddy, Vijay Saxena, Ilona Ormsby, et al.. (2003). TGF-β1 Regulates Lymphocyte Homeostasis by Preventing Activation and Subsequent Apoptosis of Peripheral Lymphocytes. The Journal of Immunology. 170(9). 4612–4622. 63 indexed citations
17.
Singh, Ram Raj, Vijay Saxena, Lily Li, et al.. (2003). Differential Contribution of IL-4 and STAT6 vs STAT4 to the Development of Lupus Nephritis. The Journal of Immunology. 170(9). 4818–4825. 112 indexed citations
18.
Saxena, Vijay, et al.. (2003). Repeated α-Galactosylceramide Administration Results in Expansion of NK T Cells and Alleviates Inflammatory Dermatitis in MRL- lpr/lpr Mice. The Journal of Immunology. 171(8). 4439–4446. 97 indexed citations
19.
Singh, Ram Raj, Fanny M. Ebling, Deijanira Albuquerque, et al.. (2002). Induction of Autoantibody Production Is Limited in Nonautoimmune Mice. The Journal of Immunology. 169(1). 587–594. 59 indexed citations
20.
Yoshida, Hideo, Minoru Satoh, Hanno B. Richards, et al.. (2002). Effect of an exogenous trigger on the pathogenesis of lupus in (NZB × NZW)F1 mice. Arthritis & Rheumatism. 46(8). 2235–2244. 43 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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