Nikhil Jiwrajka

731 total citations · 1 hit paper
9 papers, 201 citations indexed

About

Nikhil Jiwrajka is a scholar working on Immunology, Rheumatology and Molecular Biology. According to data from OpenAlex, Nikhil Jiwrajka has authored 9 papers receiving a total of 201 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 3 papers in Rheumatology and 2 papers in Molecular Biology. Recurrent topics in Nikhil Jiwrajka's work include Systemic Lupus Erythematosus Research (3 papers), T-cell and B-cell Immunology (3 papers) and Immune Cell Function and Interaction (3 papers). Nikhil Jiwrajka is often cited by papers focused on Systemic Lupus Erythematosus Research (3 papers), T-cell and B-cell Immunology (3 papers) and Immune Cell Function and Interaction (3 papers). Nikhil Jiwrajka collaborates with scholars based in United States, United Kingdom and China. Nikhil Jiwrajka's co-authors include Montserrat C. Anguera, Katherine S. Forsyth, Montserrat C. Anguera, Claudia D. Lovell, Zhengshuang Shi, Zhigang Liu, Chunhui Zhou, Filbert Totsingan, Anne W. Young and Neville R. Kallenbach and has published in prestigious journals such as The Journal of Experimental Medicine, Nature reviews. Immunology and The Journal of Pathology.

In The Last Decade

Nikhil Jiwrajka

9 papers receiving 200 citations

Hit Papers

The conneXion between sex and immune responses 2024 2026 2025 2024 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nikhil Jiwrajka United States 6 76 52 32 32 29 9 201
Vishakha Mahajan New Zealand 6 49 0.6× 116 2.2× 13 0.4× 45 1.4× 25 0.9× 10 218
A.V. Asaturova Russia 9 81 1.1× 42 0.8× 11 0.3× 8 0.3× 19 0.7× 96 244
Haigang Ding China 8 70 0.9× 86 1.7× 25 0.8× 29 0.9× 15 0.5× 15 293
Wenge Ding China 8 32 0.4× 156 3.0× 28 0.9× 10 0.3× 23 0.8× 10 285
Søeren Jepsen Germany 6 48 0.6× 151 2.9× 16 0.5× 62 1.9× 11 0.4× 6 273
M Gabryś Poland 10 120 1.6× 47 0.9× 9 0.3× 19 0.6× 11 0.4× 31 332
Gloria Ojeda Spain 11 246 3.2× 55 1.1× 11 0.3× 9 0.3× 16 0.6× 35 351
Maxime Vernez Switzerland 5 140 1.8× 26 0.5× 50 1.6× 9 0.3× 15 0.5× 9 271
Aline Cristiane Planello Brazil 8 46 0.6× 143 2.8× 21 0.7× 8 0.3× 21 0.7× 15 256
Alessio Mylonas Switzerland 7 330 4.3× 39 0.8× 92 2.9× 12 0.4× 23 0.8× 8 457

Countries citing papers authored by Nikhil Jiwrajka

Since Specialization
Citations

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

Fields of papers citing papers by Nikhil Jiwrajka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikhil Jiwrajka

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

All Works

9 of 9 papers shown
1.
Jiwrajka, Nikhil & Montserrat C. Anguera. (2025). pDCs, type 1 IFN, and the female predileXion of SSc. The Journal of Experimental Medicine. 222(3). 2 indexed citations
2.
Forsyth, Katherine S., et al.. (2024). The conneXion between sex and immune responses. Nature reviews. Immunology. 24(7). 487–502. 81 indexed citations breakdown →
3.
Forsyth, Katherine S., Nikhil Jiwrajka, Charlotte Cunningham‐Rundles, et al.. (2024). Maintenance of X chromosome inactivation after T cell activation requires NF-κB signaling. Science Immunology. 9(100). eado0398–eado0398. 4 indexed citations
4.
Jiwrajka, Nikhil, et al.. (2023). Impaired dynamic X-chromosome inactivation maintenance in T cells is a feature of spontaneous murine SLE that is exacerbated in female-biased models. Journal of Autoimmunity. 139. 103084–103084. 16 indexed citations
5.
Jiwrajka, Nikhil, Karen Patterson, Maryl Kreider, et al.. (2022). Identification and Prognosis of Patients With Interstitial Pneumonia With Autoimmune Features. JCR Journal of Clinical Rheumatology. 28(5). 257–264. 6 indexed citations
6.
Jiwrajka, Nikhil & Montserrat C. Anguera. (2022). The X in seX-biased immunity and autoimmune rheumatic disease. The Journal of Experimental Medicine. 219(6). 38 indexed citations
7.
Sciurba, Joshua, Richard L. Gieseck, Nikhil Jiwrajka, et al.. (2018). Fibroblast‐specific integrin‐alpha V differentially regulates type 17 and type 2 driven inflammation and fibrosis. The Journal of Pathology. 248(1). 16–29. 16 indexed citations
8.
Liu, Zhigang, Yi Cai, Anne W. Young, et al.. (2012). OH radical production stimulated by (RW)4D, a synthetic antimicrobial agent and indolicidin. MedChemComm. 3(12). 1548–1548. 4 indexed citations
9.
Young, Anne W., Zhigang Liu, Chunhui Zhou, et al.. (2011). Structure and antimicrobial properties of multivalent short peptides. MedChemComm. 2(4). 308–308. 34 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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