Evgenia Pak

10.5k citations
42 papers · 3.3k indexed · 1 hit paper · h-index 23

Evgenia Pak

41 papers receiving 3.2k citations

Hit Papers

Recurrent de novo point mutations in lamin A cause Hutchi...1.6k200320262010201850010001.5k

Peers

Evgenia Pak
Comparison fields: 5 of 113
  • Aging 98
  • Molecular Biology 2.4k
  • Genetics 266
  • Cancer Research 279
  • Hematology 205
Replace Hongjiao Ouyang with:
Hongjiao Ouyang United States
Paul Gadue United States
Pellegrino Rossi Italy
Ye-Guang Chen United States
Michelina Iacovino United States
Robin M. Hobbs United States
Borja Sáez United States
Matthew R. Ramsey United States
Javier Rodríguez‐Ubreva Spain
Stephan M. Tanner United States
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Citations per field
00.5×1.5×2.3×
Hongjiao Ouyang · 1×
Citations per year

Countries citing papers authored by Evgenia Pak

Since Specialization
Citations

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

Fields of papers citing papers by Evgenia Pak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Evgenia Pak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Evgenia Pak Line = papers co-authored together Evgenia Pak links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201713
2 201518
3 20140
4 20142
5 20128
6 201171
7 200947
8 20088
9 200822
10
Construction of a Human-BAC Array for a high resolution analysis of genomic changes in cancer
20061
11 200522
12 200410
13
Recurrent de novo point mutations in lamin A cause Hutchinson–Gilford progeria syndromebreakdown →
20031613
14 2003130
15 2000109
16 200018
17 19996
18 1999133
19
Constitutional von Hippel-Lindau (VHL) gene deletions detected in VHL families by fluorescence in situ hybridization.
199947
20 1998220

About Evgenia Pak

Evgenia Pak is a scholar working on Genetics, Hematology, Genetics, Molecular Biology and Pathology and Forensic Medicine, having authored 42 papers that have together received 3.3k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (5 papers), CRISPR and Genetic Engineering (4 papers), Chromosomal and Genetic Variations (4 papers), Acute Myeloid Leukemia Research (3 papers), Mesenchymal stem cell research (3 papers), Renal and related cancers (3 papers), Genetic Syndromes and Imprinting (2 papers) and Liver physiology and pathology (2 papers). The work is most often cited by research in Aging (98 citations), Molecular Biology (2.4k citations), Genetics (266 citations), Cancer Research (279 citations) and Hematology (205 citations). Evgenia Pak has collaborated with scholars based in United States, United Kingdom and Hungary. Frequent co-authors include Amalia Dutra, Sandra G. Durkin, Michael Boehnke, Peter Berglund, Christiane M. Robbins, Thomas W. Glover, Leslie B. Gordon, Francis S. Collins, Antonei B. Csòka and W. Ted Brown. Their work appears in journals such as Genes Chromosomes and Cancer, Stem Cell Research, Molecular Genetics and Metabolism, Cytogenetic and Genome Research and The Journal of Clinical Endocrinology & Metabolism.

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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