Anna V. Lapuk

15.5k citations
31 papers · 12.6k · 3 hit papers · h-index 21

Impact in

  • Genetics top 0.2%
    • Glioma Diagnosis and Treatment
    • Cancer Genomics and Diagnostics
    • Breast Cancer Treatment Studies
    • Cancer-related molecular mechanisms research

Papers in

Anna V. Lapuk

31 papers receiving 12.4k citations

Anna V. Lapuk's Hit Papers

Comprehensive genomic characterization defines human glioblastoma genes and core pathways 2008 · 6.4k citations
6.4k0+6+13Years since publication2k4k6k

Peers

Anna V. Lapuk
Comparison fields: 5 of 128
  • Genetics 3.2k
  • Cancer Research 3.1k
  • Oncology 1.8k
  • Molecular Biology 3.8k
  • Cell Biology 488
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Citations per field
00.5×1.7×
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Citations per year

Countries citing papers authored by Anna V. Lapuk

Since Specialization
Citations

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

Fields of papers citing papers by Anna V. Lapuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna V. Lapuk. 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 Anna V. Lapuk. The network helps show where Anna V. Lapuk may publish in the future.

Co-authors

The 25 scholars most cited alongside Anna V. Lapuk, 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 Anna V. Lapuk Line = papers co-authored together Anna V. Lapuk links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Comprehensive genomic characterization defines human glioblastoma genes and core pathways
Hit paper breakdown →
20086425
2
A collection of breast cancer cell lines for the study of functionally distinct cancer subtypes
Hit paper breakdown →
20062565
3
Genomic and transcriptional aberrations linked to breast cancer pathophysiologies
Hit paper breakdown →
20061047
4 2004434
5 2006369
6 2019334
7 2007319
8 2019189
9 2012157
10 201099
11 200897
12 200394
13 201175
14 201468
15 201257
16 201849
17 201241
18 201134
19 199833
20 201232

About Anna V. Lapuk

Anna V. Lapuk is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Genetics, Molecular Biology and Reproductive Medicine, having authored 31 papers that have together received 12.6k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (7 papers), Genomic variations and chromosomal abnormalities (6 papers), Cancer Genomics and Diagnostics (5 papers), RNA Research and Splicing (4 papers), Lung Cancer Treatments and Mutations (2 papers), Ovarian cancer diagnosis and treatment (2 papers), Genome Rearrangement Algorithms (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Genetics (3.2k citations), Cancer Research (3.1k citations), Oncology (1.8k citations), Molecular Biology (3.8k citations) and Cell Biology (488 citations). Anna V. Lapuk has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Joe W. Gray, Wen-Lin Kuo, Gordon Brent Mills, Karen H. Lu, Kwai Wa Cheng, Kyosuke Yamada, David A. Fishman, Karen Smith‐McCune, John P. Lahad and Nelly Auersperg. Their work appears in journals such as Cancer Cell, Bioinformatics, The Journal of Pathology, Genes Chromosomes and Cancer and Genome biology.

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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