Ramkumar Mathur

2.2k total citations
37 papers, 1.7k citations indexed

About

Ramkumar Mathur is a scholar working on Immunology, Epidemiology and Neurology. According to data from OpenAlex, Ramkumar Mathur has authored 37 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Immunology, 8 papers in Epidemiology and 6 papers in Neurology. Recurrent topics in Ramkumar Mathur's work include Neuroinflammation and Neurodegeneration Mechanisms (6 papers), IL-33, ST2, and ILC Pathways (5 papers) and Immune Cell Function and Interaction (5 papers). Ramkumar Mathur is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (6 papers), IL-33, ST2, and ILC Pathways (5 papers) and Immune Cell Function and Interaction (5 papers). Ramkumar Mathur collaborates with scholars based in United States, India and China. Ramkumar Mathur's co-authors include Bhaskar Saha, Amit Awasthi, Sankar Ghosh, Matthew S. Hayden, Ramanamurthy Boppana, Hyun-Ju Oh, A. Alicia Koblansky, Sung‐Gyoo Park, Yunfei Huang and Xinjun Zhu and has published in prestigious journals such as Cell, Nature Medicine and The Journal of Experimental Medicine.

In The Last Decade

Ramkumar Mathur

37 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ramkumar Mathur United States 17 733 428 388 339 230 37 1.7k
Elsa Seixas Portugal 24 678 0.9× 274 0.6× 556 1.4× 565 1.7× 148 0.6× 41 2.0k
Annie Laplante Canada 7 669 0.9× 685 1.6× 214 0.6× 765 2.3× 149 0.6× 10 1.9k
Frank Mattner Austria 20 1.2k 1.6× 519 1.2× 295 0.8× 327 1.0× 94 0.4× 34 2.5k
Anne Camille La Flamme New Zealand 26 908 1.2× 540 1.3× 590 1.5× 599 1.8× 655 2.8× 78 2.8k
Inés Corraliza Spain 15 993 1.4× 670 1.6× 721 1.9× 595 1.8× 287 1.2× 16 2.4k
Geeta Chaudhri Australia 28 999 1.4× 560 1.3× 633 1.6× 579 1.7× 112 0.5× 59 2.4k
Daming Zhu United States 24 502 0.7× 172 0.4× 296 0.8× 483 1.4× 311 1.4× 43 1.7k
M. Djavad Mossalayi France 27 906 1.2× 407 1.0× 416 1.1× 524 1.5× 149 0.6× 61 2.3k
Souvenir D. Tachado United States 28 904 1.2× 660 1.5× 703 1.8× 705 2.1× 183 0.8× 43 2.4k
Carmen Punzón Spain 22 557 0.8× 261 0.6× 177 0.5× 548 1.6× 93 0.4× 36 1.6k

Countries citing papers authored by Ramkumar Mathur

Since Specialization
Citations

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

Fields of papers citing papers by Ramkumar Mathur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramkumar Mathur

This figure shows the co-authorship network connecting the top 25 collaborators of Ramkumar Mathur. A scholar is included among the top collaborators of Ramkumar Mathur 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 Ramkumar Mathur. Ramkumar Mathur 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.
Guo, Kai, Zhihan Wang, Jintao Xu, et al.. (2024). The chemokine receptor CXCR3 promotes CD8 + T cell–dependent lung pathology during influenza pathogenesis. Science Advances. 10(1). eadj1120–eadj1120. 6 indexed citations
2.
3.
Guo, Kai, et al.. (2024). Mitochondrial Oxidative Stress Regulates FOXP3+ T-Cell Activity and CD4-Mediated Inflammation in Older Adults with Frailty. International Journal of Molecular Sciences. 25(11). 6235–6235. 6 indexed citations
4.
Wang, Zhihan, Pan Gao, Kai Guo, et al.. (2024). Age-related dysregulation of intestinal epithelium fucosylation is linked to an increased risk of colon cancer. JCI Insight. 9(5). 4 indexed citations
5.
Tripathi, Jitendra Kumar, Kai Guo, Zhihan Wang, et al.. (2023). IL-17RA promotes pathologic epithelial inflammation in a mouse model of upper respiratory influenza infection. PLoS Pathogens. 19(12). e1011847–e1011847. 3 indexed citations
6.
Guo, Kai, Zhihan Wang, Ramkumar Mathur, et al.. (2022). Cellular Heterogeneity and Molecular Reprogramming of the Host Response during Influenza Acute Lung Injury. Journal of Virology. 96(21). e0124622–e0124622. 1 indexed citations
7.
8.
Mathur, Ramkumar, Mahabub Alam, Xiaofeng Zhao, Yunfei Huang, & Xinjun Zhu. (2019). Mechanistic Insight into the Development of TNBS-Mediated Intestinal Fibrosis and Evaluating the Inhibitory Effects of Rapamycin. Journal of Visualized Experiments. 2 indexed citations
9.
Mathur, Ramkumar, Mahabub Alam, Xiaofeng Zhao, Yunfei Huang, & Xinjun Zhu. (2019). Mechanistic Insight into the Development of TNBS-Mediated Intestinal Fibrosis and Evaluating the Inhibitory Effects of Rapamycin. Journal of Visualized Experiments. 3 indexed citations
10.
Mathur, Ramkumar, Mahabub Alam, Xiaofeng Zhao, et al.. (2019). Induction of autophagy in Cx3cr1+ mononuclear cells limits IL-23/IL-22 axis-mediated intestinal fibrosis. Mucosal Immunology. 12(3). 612–623. 53 indexed citations
11.
Mathur, Ramkumar, et al.. (2019). Double-Edged Role of Interleukin 17A in Streptococcus pneumoniae Pathogenesis During Influenza Virus Coinfection. The Journal of Infectious Diseases. 220(5). 902–912. 9 indexed citations
12.
Zhao, Xiaofeng, Mahabub Alam, Yuan Liao, et al.. (2019). Targeting Microglia Using Cx3cr1-Cre Lines: Revisiting the Specificity. eNeuro. 6(4). ENEURO.0114–19.2019. 61 indexed citations
13.
Zhao, Xiaofeng, Yuan Liao, Ramkumar Mathur, et al.. (2018). Noninflammatory Changes of Microglia Are Sufficient to Cause Epilepsy. Cell Reports. 22(8). 2080–2093. 145 indexed citations
14.
Koblansky, A. Alicia, Dragana Janković, Hyun-Ju Oh, et al.. (2012). Recognition of Profilin by Toll-like Receptor 12 Is Critical for Host Resistance to Toxoplasma gondii. Immunity. 38(1). 119–130. 247 indexed citations
15.
Mathur, Ramkumar, Hyun-Ju Oh, Dekai Zhang, et al.. (2012). A Mouse Model of Salmonella Typhi Infection. Cell. 151(3). 590–602. 156 indexed citations
16.
Park, Sung‐Gyoo, Ramkumar Mathur, Meixiao Long, et al.. (2010). T Regulatory Cells Maintain Intestinal Homeostasis by Suppressing γδ T Cells. Immunity. 33(5). 791–803. 143 indexed citations
17.
Mathur, Ramkumar. (2010). Role of diabetes, hypertension, and cigarette smoking on atherosclerosis. Journal of Cardiovascular Disease Research. 1(2). 64–68. 17 indexed citations
18.
Dey, Ranadhir, Ramkumar Mathur, Sriparna Datta, et al.. (2006). An unusual pro-inflammatory role of interleukin-10 induced by arabinosylated lipoarabinomannan in murine peritoneal macrophages. Glycoconjugate Journal. 23(9). 675–686. 10 indexed citations
19.
Mathur, Ramkumar, et al.. (2004). Reciprocal CD40 signals through p38MAPK and ERK-1/2 induce counteracting immune responses. Nature Medicine. 10(5). 540–544. 203 indexed citations
20.
Mathur, Ramkumar. (2004). The role of hyperosmolal food in the development of atherosclerosis. Medical Hypotheses. 64(3). 579–581. 4 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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