Pavel Dyachenko

36 total papers · 495 total citations
19 papers, 315 citations indexed

About

Pavel Dyachenko is a scholar working on Epidemiology, Neurology and Pathology and Forensic Medicine. According to data from OpenAlex, Pavel Dyachenko has authored 19 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 7 papers in Neurology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Pavel Dyachenko's work include Herpesvirus Infections and Treatments (5 papers), Cytomegalovirus and herpesvirus research (3 papers) and COVID-19 Clinical Research Studies (2 papers). Pavel Dyachenko is often cited by papers focused on Herpesvirus Infections and Treatments (5 papers), Cytomegalovirus and herpesvirus research (3 papers) and COVID-19 Clinical Research Studies (2 papers). Pavel Dyachenko collaborates with scholars based in Ukraine, Israel and Taiwan. Pavel Dyachenko's co-authors include Dganit Rozenman, Michael Ziv, Raul Raz, Ayelet Shani‐Adir, Roni P. Dodiuk‐Gad, Bibiana Chazan, Yoram Keness, Assaf Monselise, E Flatau and Michael Bennett and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Academy of Dermatology and Journal of the European Academy of Dermatology and Venereology.

In The Last Decade

Pavel Dyachenko

16 papers receiving 292 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Pavel Dyachenko	169	82	70	63	56	19	315
A. Alomar	159 0.9×	89 1.1×	65 0.9×	62 1.0×	29 0.5×	14	309
Jordi Mollet	140 0.8×	116 1.4×	45 0.6×	44 0.7×	100 1.8×	21	356
Asha Kubba	93 0.6×	70 0.9×	19 0.3×	51 0.8×	37 0.7×	34	289
Surajit Nayak	85 0.5×	37 0.5×	29 0.4×	99 1.6×	83 1.5×	19	358
Basanti Acharjya	83 0.5×	35 0.4×	29 0.4×	98 1.6×	82 1.5×	15	355
VikramK Mahajan	119 0.7×	47 0.6×	24 0.3×	26 0.4×	17 0.3×	19	255
S. Bhambri	99 0.6×	126 1.5×	27 0.4×	29 0.5×	26 0.5×	23	285
Kiyanna Williams	117 0.7×	93 1.1×	19 0.3×	90 1.4×	21 0.4×	15	271
P Drakos	81 0.5×	25 0.3×	51 0.7×	109 1.7×	55 1.0×	16	314
C.L.M. van Hees	129 0.8×	70 0.9×	9 0.1×	135 2.1×	74 1.3×	18	328

Countries citing papers authored by Pavel Dyachenko

Since Specialization

Citations

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

Fields of papers citing papers by Pavel Dyachenko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pavel Dyachenko

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

All Works

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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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