Ekaterina Pak

22 total papers · 732 total citations
4 papers, 429 citations indexed

About

Ekaterina Pak is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Ophthalmology. According to data from OpenAlex, Ekaterina Pak has authored 4 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 1 paper in Pathology and Forensic Medicine and 1 paper in Ophthalmology. Recurrent topics in Ekaterina Pak's work include Hedgehog Signaling Pathway Studies (4 papers), Epigenetics and DNA Methylation (2 papers) and Tumors and Oncological Cases (1 paper). Ekaterina Pak is often cited by papers focused on Hedgehog Signaling Pathway Studies (4 papers), Epigenetics and DNA Methylation (2 papers) and Tumors and Oncological Cases (1 paper). Ekaterina Pak collaborates with scholars based in United States, United Kingdom and Germany. Ekaterina Pak's co-authors include Rosalind A. Segal, Xuesong Zhao, Kimberly J. Ornell, Tatyana Ponomaryov, Joseph F. Kelleher, Jennifer A. Chan, Wei Li, Ramon J. Whitson, Scott X. Atwood and Jiang Li and has published in prestigious journals such as Cancer Research, Developmental Cell and Cancer Discovery.

In The Last Decade

Ekaterina Pak

4 papers receiving 422 citations

Author Peers

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

Author Last Decade Papers Cites
Ekaterina Pak 385 112 71 44 37 4 429
Dan Sutherlin 362 0.9× 66 0.6× 97 1.4× 45 1.0× 28 0.8× 5 431
Tatyana Ponomaryov 242 0.6× 59 0.5× 74 1.0× 48 1.1× 34 0.9× 6 452
Maria Inês Kavamura 352 0.9× 88 0.8× 92 1.3× 16 0.4× 26 0.7× 8 428
Y Takasaki 222 0.6× 57 0.5× 83 1.2× 18 0.4× 31 0.8× 7 412
Jennifer E. Roy 213 0.6× 51 0.5× 189 2.7× 19 0.4× 40 1.1× 5 492
Amanda T. McCleish 239 0.6× 38 0.3× 88 1.2× 29 0.7× 19 0.5× 7 367
Laura Zamurs 170 0.4× 44 0.4× 51 0.7× 27 0.6× 33 0.9× 7 392
Ola Tingby 279 0.7× 76 0.7× 45 0.6× 166 3.8× 35 0.9× 8 450
Kamal P. Sajwan 319 0.8× 42 0.4× 90 1.3× 41 0.9× 10 0.3× 5 376
Richard G. Del Mastro 301 0.8× 82 0.7× 38 0.5× 22 0.5× 38 1.0× 8 378

Countries citing papers authored by Ekaterina Pak

Since Specialization
Citations

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

Fields of papers citing papers by Ekaterina Pak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ekaterina Pak

This figure shows the co-authorship network connecting the top 25 collaborators of Ekaterina Pak. A scholar is included among the top collaborators of Ekaterina Pak 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 Ekaterina Pak. Ekaterina Pak 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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