Ilya Gitlin

1.4k total citations
8 papers, 982 citations indexed

About

Ilya Gitlin is a scholar working on Immunology, Molecular Biology and Physiology. According to data from OpenAlex, Ilya Gitlin has authored 8 papers receiving a total of 982 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Molecular Biology and 4 papers in Physiology. Recurrent topics in Ilya Gitlin's work include Immune Response and Inflammation (2 papers), Immune cells in cancer (2 papers) and Telomeres, Telomerase, and Senescence (2 papers). Ilya Gitlin is often cited by papers focused on Immune Response and Inflammation (2 papers), Immune cells in cancer (2 papers) and Telomeres, Telomerase, and Senescence (2 papers). Ilya Gitlin collaborates with scholars based in United States, Russia and Israel. Ilya Gitlin's co-authors include Andrei V. Gudkov, Anatoli S. Gleiberman, Katerina I. Leonova, Olga Chernova, Evguenia Strom, Vitaly Balan, Lauren P. Virtuoso, Brandon M. Hall, Elena Rydkina and Slavoljub Vujcic and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Infection and Immunity and eLife.

In The Last Decade

Ilya Gitlin

8 papers receiving 973 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ilya Gitlin United States	8	478	298	291	253	124	8	982
Toryn Poolman United Kingdom	16	389 0.8×	169 0.6×	339 1.2×	383 1.5×	58 0.5×	33	1.1k
Merly C. Vogt United States	13	529 1.1×	299 1.0×	537 1.8×	327 1.3×	43 0.3×	18	1.7k
António Garrido Spain	18	136 0.3×	315 1.1×	219 0.8×	46 0.2×	39 0.3×	57	949
Covadonga Huidobro Spain	20	129 0.3×	190 0.6×	468 1.6×	103 0.4×	32 0.3×	30	992
Olga Cela Italy	14	167 0.3×	112 0.4×	393 1.4×	158 0.6×	45 0.4×	23	902
Éva Hadadi Hungary	14	157 0.3×	185 0.6×	203 0.7×	163 0.6×	29 0.2×	21	649
Eleni Beli United States	18	126 0.3×	237 0.8×	297 1.0×	71 0.3×	19 0.2×	27	808
Stacy Carling United States	9	652 1.4×	114 0.4×	456 1.6×	87 0.3×	142 1.1×	9	1.2k
Colin Delaney United States	15	238 0.5×	324 1.1×	480 1.6×	28 0.1×	72 0.6×	20	1.1k
Theresa Mau United States	11	254 0.5×	69 0.2×	189 0.6×	26 0.1×	79 0.6×	28	589

Countries citing papers authored by Ilya Gitlin

Since Specialization

Citations

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

Fields of papers citing papers by Ilya Gitlin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ilya Gitlin

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

All Works

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8 of 8 papers shown

Leonova, Katerina I., Alfiya Safina, Elimelech Nesher, et al.. (2018). TRAIN (Transcription of Repeats Activates INterferon) in response to chromatin destabilization induced by small molecules in mammalian cells. eLife. 7. 31 indexed citations

Hall, Brandon M., Vitaly Balan, Anatoli S. Gleiberman, et al.. (2017). p16(Ink4a) and senescence-associated β-galactosidase can be induced in macrophages as part of a reversible response to physiological stimuli. Aging. 9(8). 1867–1884. 289 indexed citations

Antoch, Marina P., Michelle Wrobel, Karen K. Kuropatwinski, et al.. (2017). Physiological frailty index (PFI): quantitative in-life estimate of individual biological age in mice. Aging. 9(3). 615–626. 48 indexed citations

Hall, Brandon M., Vitaly Balan, Anatoli S. Gleiberman, et al.. (2016). Aging of mice is associated with p16(Ink4a)- and β-galactosidase-positive macrophage accumulation that can be induced in young mice by senescent cells. Aging. 8(7). 1294–1315. 271 indexed citations

Brackett, Craig M., Jean Veith, Christopher P. Johnson, et al.. (2014). Toll-like receptor-5 agonist Entolimod broadens the therapeutic window of 5-fluorouracil by reducing its toxicity to normal tissues in mice. Oncotarget. 5(3). 802–814. 33 indexed citations

Tukhvatulin, Amir I., Ilya Gitlin, Dmitry V. Shcheblyakov, et al.. (2013). Combined Stimulation of Toll-Like Receptor 5 and NOD1 Strongly Potentiates Activity of NF-κB, Resulting in Enhanced Innate Immune Reactions and Resistance to Salmonella enterica Serovar Typhimurium Infection. Infection and Immunity. 81(10). 3855–3864. 38 indexed citations

Spengler, Mary L., Karen K. Kuropatwinski, Maria Comas, et al.. (2012). Core circadian protein CLOCK is a positive regulator of NF-κB–mediated transcription. Proceedings of the National Academy of Sciences. 109(37). E2457–65. 258 indexed citations

Tukhvatulin, Amir I., Denis Y. Logunov, Ilya Gitlin, et al.. (2011). A In Vitro and In Vivo Study of the Ability of NOD1 Ligands to Activate the Transcriptional Factor NF-kB. Acta Naturae. 3(1). 77–84. 14 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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