Karishma Kamdar

533 total citations
10 papers, 436 citations indexed

About

Karishma Kamdar is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, Karishma Kamdar has authored 10 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 4 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Karishma Kamdar's work include Immune Response and Inflammation (7 papers), Yersinia bacterium, plague, ectoparasites research (3 papers) and Antimicrobial Peptides and Activities (3 papers). Karishma Kamdar is often cited by papers focused on Immune Response and Inflammation (7 papers), Yersinia bacterium, plague, ectoparasites research (3 papers) and Antimicrobial Peptides and Activities (3 papers). Karishma Kamdar collaborates with scholars based in United States, Russia and India. Karishma Kamdar's co-authors include R. William DePaolo, Samira Khakpour, André J. Ouellette, Kenneth P. Tai, Bana Jabrì, Glenn M. Young, Jennifer M. Brulc, Gerard C. L. Wong, Amanda M. Burkhardt and Joaquı́n Zúñiga and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

Karishma Kamdar

10 papers receiving 434 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karishma Kamdar United States 10 215 189 108 54 50 10 436
Jennifer R. Mastroianni United States 7 214 1.0× 93 0.5× 99 0.9× 64 1.2× 71 1.4× 7 435
Jens M. Schroeder Germany 4 137 0.6× 141 0.7× 159 1.5× 36 0.7× 33 0.7× 7 387
Constantinos Brikos United States 8 347 1.6× 334 1.8× 67 0.6× 47 0.9× 82 1.6× 8 715
Isabella Pesce Italy 12 227 1.1× 166 0.9× 98 0.9× 44 0.8× 107 2.1× 16 642
Shireen A. Woodiga United States 10 252 1.2× 137 0.7× 65 0.6× 40 0.7× 42 0.8× 12 545
Catherine L. Hall United Kingdom 7 157 0.7× 233 1.2× 110 1.0× 23 0.4× 43 0.9× 11 496
Lothar Groebe Germany 11 160 0.7× 216 1.1× 33 0.3× 23 0.4× 73 1.5× 12 477
Yi Tian Ting Australia 12 133 0.6× 111 0.6× 32 0.3× 47 0.9× 70 1.4× 20 402
Ida De Fino Italy 15 407 1.9× 100 0.5× 108 1.0× 40 0.7× 61 1.2× 31 770
Kankanam Gamage Sanath Udayanga Japan 10 267 1.2× 167 0.9× 32 0.3× 41 0.8× 98 2.0× 19 484

Countries citing papers authored by Karishma Kamdar

Since Specialization
Citations

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

Fields of papers citing papers by Karishma Kamdar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karishma Kamdar

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

All Works

10 of 10 papers shown
1.
Kamdar, Karishma, et al.. (2018). Innate Recognition of the Microbiota by TLR1 Promotes Epithelial Homeostasis and Prevents Chronic Inflammation. The Journal of Immunology. 201(1). 230–242. 35 indexed citations
2.
Kamdar, Karishma, Samira Khakpour, Jingyu Chen, et al.. (2016). Genetic and Metabolic Signals during Acute Enteric Bacterial Infection Alter the Microbiota and Drive Progression to Chronic Inflammatory Disease. Cell Host & Microbe. 19(1). 21–31. 77 indexed citations
3.
Kim, Jeehyun, et al.. (2015). Retinoic Acid Can Exacerbate T Cell Intrinsic TLR2 Activation to Promote Tolerance. PLoS ONE. 10(3). e0118875–e0118875. 10 indexed citations
4.
Kamdar, Karishma, et al.. (2013). Toll-like receptor signaling and regulation of intestinal immunity. Virulence. 4(3). 207–212. 58 indexed citations
5.
Kamdar, Karishma, et al.. (2013). TLR1-induced chemokine production is critical for mucosal immunity against Yersinia enterocolitica. Mucosal Immunology. 6(6). 1101–1109. 31 indexed citations
6.
Tai, Kenneth P., Karishma Kamdar, Jason Yamaki, et al.. (2013). Microbicidal effects of α- and θ-defensins against antibiotic-resistant Staphylococcus aureus and Pseudomonas aeruginosa. Innate Immunity. 21(1). 17–29. 24 indexed citations
7.
Schmidt, Nathan W., Kenneth P. Tai, Karishma Kamdar, et al.. (2012). Arginine in α-Defensins. Journal of Biological Chemistry. 287(26). 21866–21872. 51 indexed citations
8.
Burkhardt, Amanda M., Kenneth P. Tai, Karishma Kamdar, et al.. (2012). CXCL17 Is a Mucosal Chemokine Elevated in Idiopathic Pulmonary Fibrosis That Exhibits Broad Antimicrobial Activity. The Journal of Immunology. 188(12). 6399–6406. 73 indexed citations
9.
DePaolo, R. William, et al.. (2012). A specific role for TLR1 in protective TH17 immunity during mucosal infection. The Journal of Experimental Medicine. 209(8). 1437–1444. 59 indexed citations
10.
Kamdar, Karishma, Atsuo Maemoto, Xiaoqing Qu, Steven Young, & André J. Ouellette. (2008). In Vitro Activation of the Rhesus Macaque Myeloid α-Defensin Precursor proRMAD-4 by Neutrophil Serine Proteinases. Journal of Biological Chemistry. 283(47). 32361–32368. 18 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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