Rajendra Kumar Gurumurthy

813 total citations
19 papers, 562 citations indexed

About

Rajendra Kumar Gurumurthy is a scholar working on Molecular Biology, Microbiology and Immunology. According to data from OpenAlex, Rajendra Kumar Gurumurthy has authored 19 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Microbiology and 7 papers in Immunology. Recurrent topics in Rajendra Kumar Gurumurthy's work include Reproductive tract infections research (7 papers), Cervical Cancer and HPV Research (5 papers) and Single-cell and spatial transcriptomics (4 papers). Rajendra Kumar Gurumurthy is often cited by papers focused on Reproductive tract infections research (7 papers), Cervical Cancer and HPV Research (5 papers) and Single-cell and spatial transcriptomics (4 papers). Rajendra Kumar Gurumurthy collaborates with scholars based in Germany, Denmark and United States. Rajendra Kumar Gurumurthy's co-authors include Thomas F. Meyer, Cindrilla Chumduri, Yang Mi, Hilmar Berger, Naveen Kumar, Rike Zietlow, Thomas Rudel, André P. Mäurer, Volker Brinkmann and Hans‐Joachim Mollenkopf and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Nature Reviews Molecular Cell Biology.

In The Last Decade

Rajendra Kumar Gurumurthy

16 papers receiving 556 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rajendra Kumar Gurumurthy Germany 12 219 185 179 143 105 19 562
Cindrilla Chumduri Germany 12 255 1.2× 164 0.9× 145 0.8× 132 0.9× 125 1.2× 21 584
Caroline A.J. Horvath Belgium 11 271 1.2× 379 2.0× 71 0.4× 91 0.6× 80 0.8× 13 722
Shanli Zhu China 18 314 1.4× 153 0.8× 99 0.6× 158 1.1× 112 1.1× 50 647
Reyes S. Taméz-Guerra Mexico 13 195 0.9× 159 0.9× 55 0.3× 274 1.9× 138 1.3× 29 604
David M. Winder United Kingdom 16 384 1.8× 415 2.2× 210 1.2× 176 1.2× 189 1.8× 17 980
Sagarika Kanjilal United States 12 359 1.6× 435 2.4× 35 0.2× 41 0.3× 175 1.7× 15 852
Yukako Fujinaga Japan 8 170 0.8× 241 1.3× 27 0.2× 49 0.3× 102 1.0× 13 495
Vonetta L. Edwards United States 9 138 0.6× 195 1.1× 249 1.4× 188 1.3× 97 0.9× 12 552
Brigitte Colau Netherlands 11 278 1.3× 776 4.2× 125 0.7× 252 1.8× 53 0.5× 16 1.0k

Countries citing papers authored by Rajendra Kumar Gurumurthy

Since Specialization
Citations

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

Fields of papers citing papers by Rajendra Kumar Gurumurthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rajendra Kumar Gurumurthy. 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 Rajendra Kumar Gurumurthy. The network helps show where Rajendra Kumar Gurumurthy may publish in the future.

Co-authorship network of co-authors of Rajendra Kumar Gurumurthy

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

All Works

19 of 19 papers shown
1.
2.
Kumar, Naveen, Volker Brinkmann, Hans‐Joachim Mollenkopf, et al.. (2024). Decoding spatiotemporal transcriptional dynamics and epithelial fibroblast crosstalk during gastroesophageal junction development through single cell analysis. Nature Communications. 15(1). 3064–3064. 9 indexed citations
3.
4.
Peters, Christian, Hilmar Berger, Michał Zarobkiewicz, et al.. (2023). γδ T cell-mediated cytotoxicity against patient-derived healthy and cancer cervical organoids. Frontiers in Immunology. 14. 1281646–1281646. 11 indexed citations
5.
Gurumurthy, Rajendra Kumar, et al.. (2022). Patient-derived and mouse endo-ectocervical organoid generation, genetic manipulation and applications to model infection. Nature Protocols. 17(7). 1658–1690. 20 indexed citations
6.
Gurumurthy, Rajendra Kumar, Naveen Kumar, Hilmar Berger, et al.. (2022). Modelling Chlamydia and HPV co-infection in patient-derived ectocervix organoids reveals distinct cellular reprogramming. Nature Communications. 13(1). 1030–1030. 49 indexed citations
7.
Gurumurthy, Rajendra Kumar, Naveen Kumar, & Cindrilla Chumduri. (2021). Spatial analysis of organ-wide RNA, protein expression, and lineage tracing in the female mouse reproductive tract. STAR Protocols. 2(4). 100969–100969. 2 indexed citations
8.
Chumduri, Cindrilla, Rajendra Kumar Gurumurthy, Hilmar Berger, et al.. (2021). Opposing Wnt signals regulate cervical squamocolumnar homeostasis and emergence of metaplasia. Nature Cell Biology. 23(2). 184–197. 72 indexed citations
9.
Gurumurthy, Rajendra Kumar, Naveen Kumar, & Cindrilla Chumduri. (2021). Optimized protocol for isolation of high-quality single cells from the female mouse reproductive tract tissues for single-cell RNA sequencing. STAR Protocols. 2(4). 100970–100970. 1 indexed citations
10.
Berger, Hilmar, Naveen Kumar, Christian Goosmann, et al.. (2020). Genotoxic Effect of Salmonella Paratyphi A Infection on Human Primary Gallbladder Cells. mBio. 11(5). 27 indexed citations
11.
Chumduri, Cindrilla, Koshi Imami, Hilmar Berger, et al.. (2019). Integrated Phosphoproteome and Transcriptome Analysis Reveals Chlamydia-Induced Epithelial-to-Mesenchymal Transition in Host Cells. Cell Reports. 26(5). 1286–1302.e8. 47 indexed citations
12.
Chumduri, Cindrilla, Koshi Imami, Hilmar Berger, et al.. (2018). Integrated Phosphoproteome and Transcriptome Analysis Reveals Chlamydia-induced Epithelial-to-mesenchymal Transition in Host Cells. SSRN Electronic Journal. 1 indexed citations
13.
Rother, Marion, Matteo Pardo, Matthias Pietzke, et al.. (2018). Combined Human Genome-wide RNAi and Metabolite Analyses Identify IMPDH as a Host-Directed Target against Chlamydia Infection. Cell Host & Microbe. 23(5). 661–671.e8. 33 indexed citations
14.
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Chumduri, Cindrilla, Rajendra Kumar Gurumurthy, Rike Zietlow, & Thomas F. Meyer. (2016). Subversion of host genome integrity by bacterial pathogens. Nature Reviews Molecular Cell Biology. 17(10). 659–673. 57 indexed citations
16.
Gurumurthy, Rajendra Kumar, Cindrilla Chumduri, Alexander Karlas, et al.. (2014). Dynamin‐mediated lipid acquisition is essential for Chlamydia trachomatis development. Molecular Microbiology. 94(1). 186–201. 12 indexed citations
17.
Chumduri, Cindrilla, et al.. (2013). Chlamydia Infection Promotes Host DNA Damage and Proliferation but Impairs the DNA Damage Response. Cell Host & Microbe. 13(6). 746–758. 127 indexed citations
18.
Gurumurthy, Rajendra Kumar, André P. Mäurer, Nikolaus Machuy, et al.. (2010). A Loss-of-Function Screen Reveals Ras- and Raf-Independent MEK-ERK Signaling During Chlamydia trachomatis Infection. Science Signaling. 3(113). ra21–ra21. 44 indexed citations
19.
Paland, Nicole, et al.. (2008). Reduced Display of Tumor Necrosis Factor Receptor I at the Host Cell Surface Supports Infection with Chlamydia trachomatis. Journal of Biological Chemistry. 283(10). 6438–6448. 29 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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