Evgeny Makarev

401 total citations
10 papers, 322 citations indexed

About

Evgeny Makarev is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Ophthalmology. According to data from OpenAlex, Evgeny Makarev has authored 10 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Ophthalmology. Recurrent topics in Evgeny Makarev's work include Retinal Development and Disorders (2 papers), Corneal Surgery and Treatments (2 papers) and Connexins and lens biology (2 papers). Evgeny Makarev is often cited by papers focused on Retinal Development and Disorders (2 papers), Corneal Surgery and Treatments (2 papers) and Connexins and lens biology (2 papers). Evgeny Makarev collaborates with scholars based in United States, Russia and United Kingdom. Evgeny Makarev's co-authors include Antonei B. Csòka, Naina Bhatia‐Dey, Riya R. Kanherkar, Panagiotis A. Tsonis, Alexander Aliper, Anton Buzdin, Katia Del Rio‐Tsonis, Alex Zhavoronkov, Jason R. Spence and V. I. Mitashov and has published in prestigious journals such as PLoS ONE, FEBS Letters and Cellular and Molecular Life Sciences.

In The Last Decade

Evgeny Makarev

10 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Evgeny Makarev United States	8	207	57	54	38	34	10	322
Kasper Derks Netherlands	9	241 1.2×	61 1.1×	39 0.7×	25 0.7×	32 0.9×	21	427
Robert M. H. Grange United States	6	162 0.8×	52 0.9×	30 0.6×	17 0.4×	40 1.2×	7	255
Federica Storti Switzerland	11	180 0.9×	75 1.3×	44 0.8×	46 1.2×	117 3.4×	20	362
Kathryn Louie United States	9	272 1.3×	26 0.5×	62 1.1×	24 0.6×	82 2.4×	10	453
Marian León Spain	8	302 1.5×	68 1.2×	29 0.5×	8 0.2×	11 0.3×	14	365
Leila Sadegh United States	4	136 0.7×	38 0.7×	60 1.1×	13 0.3×	11 0.3×	6	340
Wenhu Huang United States	12	281 1.4×	51 0.9×	21 0.4×	37 1.0×	102 3.0×	30	444
Yi-Hong Zhou United States	12	276 1.3×	117 2.1×	25 0.5×	14 0.4×	8 0.2×	12	442
Erika Yeh Brazil	12	267 1.3×	20 0.4×	17 0.3×	20 0.5×	32 0.9×	17	442
Albert J. Evinger United States	7	252 1.2×	54 0.9×	23 0.4×	22 0.6×	46 1.4×	10	441

Countries citing papers authored by Evgeny Makarev

Since Specialization

Citations

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

Fields of papers citing papers by Evgeny Makarev

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Evgeny Makarev

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

All Works

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10 of 10 papers shown

Bhatia‐Dey, Naina, et al.. (2016). Cellular Senescence as the Causal Nexus of Aging. Frontiers in Genetics. 7. 13–13. 109 indexed citations

Zhu, Qingsong, Evgeny Izumchenko, Alexander Aliper, et al.. (2015). Pathway activation strength is a novel independent prognostic biomarker for cetuximab sensitivity in colorectal cancer patients. Human Genome Variation. 2(1). 15009–15009. 40 indexed citations

Makarev, Evgeny & Marat Gorivodsky. (2014). Islet1 and Its Co-Factor Ldb1 Are Expressed in Quiescent Cells of Mouse Intestinal Epithelium. PLoS ONE. 9(4). e95256–e95256. 6 indexed citations

Kanherkar, Riya R., Naina Bhatia‐Dey, Evgeny Makarev, & Antonei B. Csòka. (2014). Cellular reprogramming for understanding and treating human disease. Frontiers in Cell and Developmental Biology. 2. 67–67. 28 indexed citations

Makarev, Evgeny, Charles R. Cantor, Alex Zhavoronkov, et al.. (2014). Pathway activation profiling reveals new insights into Age-related Macular Degeneration and provides avenues for therapeutic interventions. Aging. 6(12). 1064–1075. 38 indexed citations

Makarev, Evgeny, Mindy K. Call, Matthew W. Grogg, et al.. (2007). Gene expression signatures in the newt irises during lens regeneration. FEBS Letters. 581(9). 1865–1870. 24 indexed citations

Tsonis, Panagiotis A. & Evgeny Makarev. (2007). Molecular and Cellular Basis of Regeneration and Tissue Repair. Cellular and Molecular Life Sciences. 65(1). 41–44. 5 indexed citations

Makarev, Evgeny, Jason R. Spence, Katia Del Rio‐Tsonis, & Panagiotis A. Tsonis. (2006). Identification of microRNAs and other small RNAs from the adult newt eye.. PubMed. 12. 1386–91. 45 indexed citations

Makarev, Evgeny, et al.. (2004). Analysis of the Expression Pattern of Regulatory Genes Pax6, Prox1, and Six3 during Regeneration of Eye Structures in the Newt. Biology Bulletin. 31(5). 428–436. 19 indexed citations

10.

Makarev, Evgeny, et al.. (2002). [Expression of regulatory homeobox genes during retina regeneration in adult newts].. Biology Bulletin. 29(6). 540–544. 8 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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