Gary Warnes

13.8k total citations · 2 hit papers
42 papers, 3.3k citations indexed

About

Gary Warnes is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Gary Warnes has authored 42 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 11 papers in Immunology and 8 papers in Epidemiology. Recurrent topics in Gary Warnes's work include Cell death mechanisms and regulation (7 papers), Autophagy in Disease and Therapy (7 papers) and T-cell and B-cell Immunology (5 papers). Gary Warnes is often cited by papers focused on Cell death mechanisms and regulation (7 papers), Autophagy in Disease and Therapy (7 papers) and T-cell and B-cell Immunology (5 papers). Gary Warnes collaborates with scholars based in United Kingdom, United States and Canada. Gary Warnes's co-authors include Claudia Mauri, David Isenberg, Michael R. Ehrenstein, Samantha Moore, Animesh Singh, J. Grimley Evans, Mikhail Spivakov, Amanda G. Fisher, Stephan Sauer and Véronique Azuara and has published in prestigious journals such as The Journal of Experimental Medicine, Journal of Neuroscience and The Journal of Immunology.

In The Last Decade

Gary Warnes

42 papers receiving 3.2k citations

Hit Papers

Chromatin signatures of pluripotent cell lines 2004 2026 2011 2018 2006 2004 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gary Warnes United Kingdom 20 1.6k 1.1k 352 324 274 42 3.3k
Atsushi Takayanagi Japan 28 1.3k 0.8× 804 0.8× 342 1.0× 510 1.6× 318 1.2× 103 3.2k
Takafumi Noma Japan 29 1.4k 0.9× 1.2k 1.2× 244 0.7× 405 1.3× 264 1.0× 84 3.1k
Hiroto Kawashima Japan 29 1.7k 1.1× 1.1k 1.0× 168 0.5× 459 1.4× 128 0.5× 89 3.2k
Sonja C. Stadler Germany 19 1.4k 0.9× 1.2k 1.1× 338 1.0× 283 0.9× 129 0.5× 27 2.9k
Jun Cheng China 29 2.0k 1.2× 1.7k 1.6× 329 0.9× 362 1.1× 156 0.6× 110 4.4k
Noriko Toyama‐Sorimachi Japan 30 1.2k 0.8× 1.3k 1.2× 146 0.4× 349 1.1× 120 0.4× 73 3.0k
Christopher G. Mueller France 28 2.1k 1.3× 753 0.7× 360 1.0× 561 1.7× 118 0.4× 64 3.1k
Zhaohui Xu United States 23 1.6k 1.0× 1.5k 1.4× 274 0.8× 221 0.7× 543 2.0× 65 3.4k
Shuhua Han United States 30 910 0.6× 2.2k 2.1× 212 0.6× 522 1.6× 185 0.7× 82 3.6k

Countries citing papers authored by Gary Warnes

Since Specialization
Citations

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

Fields of papers citing papers by Gary Warnes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gary Warnes

This figure shows the co-authorship network connecting the top 25 collaborators of Gary Warnes. A scholar is included among the top collaborators of Gary Warnes 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 Gary Warnes. Gary Warnes 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.
Mortensen, Martin, et al.. (2024). Presynaptic hyperexcitability reversed by positive allosteric modulation of a GABABR epilepsy variant. Brain. 148(2). 533–548. 1 indexed citations
2.
King, Hamish W., Nara Orban, John C. Riches, et al.. (2021). Single-cell analysis of human B cell maturation predicts how antibody class switching shapes selection dynamics. Science Immunology. 6(56). 137 indexed citations
3.
Warnes, Gary. (2020). Flow cytometric detection of hyper-polarized mitochondria in regulated and accidental cell death processes. APOPTOSIS. 25(7-8). 548–557. 7 indexed citations
4.
Gibbons, Joseph M., Wing-Yiu Jason Lee, Christopher E. Jones, et al.. (2019). HIV-1 Accessory Protein Vpr Interacts with REAF/RPRD2 To Mitigate Its Antiviral Activity. Journal of Virology. 94(4). 12 indexed citations
5.
Bergamaschi, Daniele, et al.. (2019). Simultaneous polychromatic flow cytometric detection of multiple forms of regulated cell death. APOPTOSIS. 24(5-6). 453–464. 19 indexed citations
6.
Rehman, Ambreen, Hana Jedličková, Yunying Huang, et al.. (2019). The desmosomal cadherin desmoglein-3 acts as a keratinocyte anti-stress protein via suppression of p53. Cell Death and Disease. 10(10). 750–750. 22 indexed citations
7.
Gemenetzidis, Emilios, et al.. (2017). GLI2 Is a Regulator of β-Catenin and Is Associated with Loss of E-Cadherin, Cell Invasiveness, and Long-Term Epidermal Regeneration. Journal of Investigative Dermatology. 137(8). 1719–1730. 17 indexed citations
8.
Pike, Robert N., et al.. (2017). Simultaneous flow cytometric immunophenotyping of necroptosis, apoptosis and RIP1-dependent apoptosis. Methods. 134-135. 56–66. 25 indexed citations
9.
Gemenetzidis, Emilios, Giuseppe Trigiante, Gary Warnes, et al.. (2014). GLI2 induces genomic instability in human keratinocytes by inhibiting apoptosis. Cell Death and Disease. 5(1). e1028–e1028. 20 indexed citations
10.
Luo, Jianhong, Sang‐Hoon Lee, Dongsheng Wu, et al.. (2013). P2X7 purinoceptors contribute to the death of Schwann cells transplanted into the spinal cord. Cell Death and Disease. 4(10). e829–e829. 25 indexed citations
12.
Warnes, Gary & Simone Maria Massami Kitamura Martins. (2011). Real‐time flow cytometry for the kinetic analysis of oncosis. Cytometry Part A. 79A(3). 181–191. 6 indexed citations
13.
Vossenkämper, Anna, Olivier Marchès, Peter D. Fairclough, et al.. (2010). Inhibition of NF-κB Signaling in Human Dendritic Cells by the Enteropathogenic Escherichia coli Effector Protein NleE. The Journal of Immunology. 185(7). 4118–4127. 65 indexed citations
14.
Janes, Sam M., Tyler Ofstad, Douglas Houghton Campbell, et al.. (2008). PI3-kinase-dependent activation of apoptotic machinery occurs on commitment of epidermal keratinocytes to terminal differentiation. Cell Research. 19(3). 328–339. 26 indexed citations
15.
Takousis, Petros, Jill Williamson, Peter Sasieni, et al.. (2007). Replication Timing Profile Reflects the Distinct Functional and Genomic Features of the MHC Class II Region. Cell Cycle. 6(19). 2393–2398. 4 indexed citations
16.
Biggerstaff, John, et al.. (2007). Soluble Fibrin Inhibits Lymphocyte Adherence and Cytotoxicity Against Tumor Cells: Implications for Cancer Metastasis and Immunotherapy. Clinical and Applied Thrombosis/Hemostasis. 14(2). 193–202. 14 indexed citations
17.
Leverrier, Sabrina, Daniele Bergamaschi, Lucy Ghali, et al.. (2006). Role of HPV E6 proteins in preventing UVB-induced release of pro-apoptotic factors from the mitochondria. APOPTOSIS. 12(3). 549–560. 64 indexed citations
18.
Sauer, Stephan, Nathalie Billon, William D. Richardson, et al.. (2004). A dynamic switch in the replication timing of key regulator genes in embryonic stem cells upon neural induction.. PubMed. 3(12). 1645–50. 87 indexed citations
19.
Dixon, Peter, John C. Chambers, J. Weaver, et al.. (2000). Heterozygous MDR3 missense mutation associated with intrahepatic cholestasis of pregnancy. Human Molecular Genetics. 9(8). 5 indexed citations
20.
Amirkhosravi, Ali, John Biggerstaff, Gary Warnes, D. A. Francis, & John L. Francis. (1996). DETERMINATION OF TUMOR CELL PROCOAGULANT ACTIVITY BY SONOCLOT™ ANALYSIS IN WHOLE BLOOD. Thrombosis Research. 84(5). 323–332. 13 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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