Chandra Mohan

16.7k total citations · 2 hit papers
331 papers, 12.0k citations indexed

About

Chandra Mohan is a scholar working on Rheumatology, Immunology and Molecular Biology. According to data from OpenAlex, Chandra Mohan has authored 331 papers receiving a total of 12.0k indexed citations (citations by other indexed papers that have themselves been cited), including 163 papers in Rheumatology, 159 papers in Immunology and 73 papers in Molecular Biology. Recurrent topics in Chandra Mohan's work include Systemic Lupus Erythematosus Research (155 papers), T-cell and B-cell Immunology (79 papers) and Monoclonal and Polyclonal Antibodies Research (56 papers). Chandra Mohan is often cited by papers focused on Systemic Lupus Erythematosus Research (155 papers), T-cell and B-cell Immunology (79 papers) and Monoclonal and Polyclonal Antibodies Research (56 papers). Chandra Mohan collaborates with scholars based in United States, China and India. Chandra Mohan's co-authors include Edward K. Wakeland, Somnath Datta, Tianfu Wu, Chaim Putterman, Laurence Morel, Chun Xie, Ramesh Saxena, Sharlene Adams, Ioannis Parodis and Ping Yang and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Advanced Materials.

In The Last Decade

Chandra Mohan

320 papers receiving 11.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Lupus nephritis

2020 582 citations Ramesh Saxena, Chandra Mohan et al. profile →
Nucleosome: a major immunogen for pathogenic autoantibody-inducing T cells of lupus.

1993 527 citations Chandra Mohan, Somnath Datta et al. The Journal of Experimental Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chandra Mohan United States	58	7.0k	5.4k	2.4k	1.8k	1.3k	331	12.0k
Reinhard Voll Germany	54	8.0k 1.1×	3.1k 0.6×	4.5k 1.9×	1000 0.6×	477 0.4×	244	13.7k
Minoru Satoh Japan	65	4.8k 0.7×	3.9k 0.7×	4.6k 1.9×	1.3k 0.7×	1.2k 0.9×	329	14.4k
Richard M. Pope United States	61	5.3k 0.8×	3.3k 0.6×	3.9k 1.7×	1.2k 0.6×	224 0.2×	195	12.2k
G Steiner Austria	57	3.6k 0.5×	5.6k 1.0×	3.9k 1.6×	1.7k 0.9×	148 0.1×	286	11.7k
Naoyuki Kamatani Japan	58	2.5k 0.4×	4.4k 0.8×	5.3k 2.2×	455 0.3×	1.3k 1.0×	344	13.5k
Robert J. Moots United Kingdom	47	3.6k 0.5×	2.7k 0.5×	1.7k 0.7×	459 0.3×	225 0.2×	176	8.2k
George C. Tsokos United States	83	18.9k 2.7×	12.2k 2.3×	6.2k 2.6×	3.0k 1.6×	1.3k 0.9×	603	28.8k
Johan van der Vlag Netherlands	62	3.1k 0.4×	1.3k 0.2×	4.9k 2.0×	525 0.3×	2.3k 1.7×	205	10.7k
Fionula M. Brennan United Kingdom	71	7.7k 1.1×	6.1k 1.1×	4.3k 1.8×	2.1k 1.2×	110 0.1×	172	17.5k
Alisa E. Koch United States	65	4.7k 0.7×	3.5k 0.7×	4.9k 2.1×	1.1k 0.6×	127 0.1×	182	14.1k

Countries citing papers authored by Chandra Mohan

Since Specialization

Citations

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

Fields of papers citing papers by Chandra Mohan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chandra Mohan

This figure shows the co-authorship network connecting the top 25 collaborators of Chandra Mohan. A scholar is included among the top collaborators of Chandra Mohan 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 Chandra Mohan. Chandra Mohan 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

Chen, Yanping, Minghua Wu, Pavel V. Nikitin, et al.. (2025). Assessment of skin fibrosis in a murine model of systemic sclerosis with multifunctional optical coherence tomography. Journal of Biomedical Optics. 30(3). 36007–36007.

Soomro, Sanam, et al.. (2025). 1000-plex antibody array proteomic screen uncovers PGRPS, Haptoglobin, Serpin A4 and Fibrinogen as potential stool biomarkers of pediatric inflammatory bowel disease. Clinical Immunology. 276. 110495–110495.

Li, Yaxi, Kamala Vanarsa, Kyung Hyun Lee, et al.. (2024). Proximity extension assay proteomics and renal single cell transcriptomics uncover novel urinary biomarkers for active lupus nephritis. Journal of Autoimmunity. 143. 103165–103165. 14 indexed citations

Vanarsa, Kamala, Ting Zhang, Jack Hutcheson, et al.. (2024). iTRAQ-based mass spectrometry screen to identify serum biomarkers in systemic lupus erythematosus. Lupus Science & Medicine. 11(1). e000673–e000673. 1 indexed citations

Wang, David, et al.. (2024). Duplex Vertical-Flow Rapid Tests for Point-of-Care Detection of Anti-dsDNA and Anti-Nuclear Autoantibodies. Biosensors. 14(2). 98–98. 3 indexed citations

Mohan, Chandra, et al.. (2024). Urinary biomarkers for active Lupus Nephritis that have survived independent validation across cohorts. Kidney International. 106(6). 1135–1145. 9 indexed citations

Mohan, Chandra, et al.. (2024). Diagnostic outcome of pro bono neurogenetic diagnostic service in Sri Lanka: A wealth creation. European Journal of Human Genetics. 32(10). 1299–1306. 2 indexed citations

Vanarsa, Kamala, Zhihua Yin, Ting Zhang, et al.. (2023). Urine L-selectin reflects clinical and histological renal disease activity and treatment response in lupus nephritis across multi-ethnicity. Frontiers in Immunology. 14. 1200167–1200167. 3 indexed citations

Li, Yaxi, et al.. (2023). Novel biomarker discovery through comprehensive proteomic analysis of lupus mouse serum. Journal of Autoimmunity. 142. 103134–103134. 7 indexed citations

10.

Vanarsa, Kamala, Long Wang, Kyung Hyun Lee, et al.. (2023). Comprehensive proteomics and platform validation of urinary biomarkers for bladder cancer diagnosis and staging. BMC Medicine. 21(1). 133–133. 14 indexed citations

11.

Bellocchi, Chiara, Shervin Assassi, Maurizio Marchini, et al.. (2023). Proteomic aptamer analysis reveals serum markers that characterize preclinical systemic sclerosis (SSc) patients at risk for progression toward definite SSc. Arthritis Research & Therapy. 25(1). 15–15. 12 indexed citations

12.

Hathout, Yetrib, Harry W.M. Steinbusch, Chandra Mohan, et al.. (2023). Gene therapy for selected neuromuscular and trinucleotide repeat disorders – An insight to subsume South Asia for multicenter clinical trials. IBRO Neuroscience Reports. 14. 146–153. 7 indexed citations

13.

Cicalese, Pietro Antonio, et al.. (2020). Kidney Level Lupus Nephritis Classification Using Uncertainty Guided Bayesian Convolutional Neural Networks. IEEE Journal of Biomedical and Health Informatics. 25(2). 315–324. 22 indexed citations

14.

Luo, Hui, Ling Wang, Li Wang, et al.. (2019). Novel Autoantibodies Related to Cell Death and DNA Repair Pathways in Systemic Lupus Erythematosus. Genomics Proteomics & Bioinformatics. 17(3). 248–259. 25 indexed citations

15.

Makinde, Hadijat M., Maria Gulinello, Kamala Vanarsa, et al.. (2018). Lipocalin-2 is a pathogenic determinant and biomarker of neuropsychiatric lupus. Journal of Autoimmunity. 96. 59–73. 45 indexed citations

16.

Homan, Philip, Hemant Agrawal, Alexander V. Misharin, et al.. (2017). Bim suppresses the development of SLE by limiting myeloid inflammatory responses. The Journal of Experimental Medicine. 214(12). 3753–3773. 22 indexed citations

17.

Richardson, Christopher T., Asiya Seema Chida, Diana G. Adlowitz, et al.. (2013). Molecular Basis of 9G4 B Cell Autoreactivity in Human Systemic Lupus Erythematosus. The Journal of Immunology. 191(10). 4926–4939. 71 indexed citations

18.

Davis, Laurie S., Jack Hutcheson, & Chandra Mohan. (2011). The Role of Cytokines in the Pathogenesis and Treatment of Systemic Lupus Erythematosus. Journal of Interferon & Cytokine Research. 31(10). 781–789. 87 indexed citations

19.

Kumar, Kirthi R., Liunan Li, Mei Yan, et al.. (2006). Regulation of B Cell Tolerance by the Lupus Susceptibility Gene Ly108. Science. 312(5780). 1665–1669. 178 indexed citations

20.

Kaliyaperumal, Arunan, Chandra Mohan, Wenbiao Wu, & Somnath Datta. (1996). Nucleosomal peptide epitopes for nephritis-inducing T helper cells of murine lupus.. The Journal of Experimental Medicine. 183(6). 2459–2469. 175 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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