Anna Lapuk

8.0k citations
17 papers · 1.5k indexed · h-index 13

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer Genomics and Diagnostics
  • Oncology top 10%
    • Drug Transport and Resistance Mechanisms
    • Metal complexes synthesis and properties

Papers in

    • Cancer Genomics and Diagnostics 4
    • Genomics and Phylogenetic Studies 5
    • RNA and protein synthesis mechanisms 3
    • RNA Research and Splicing 3
    • Molecular Biology Techniques and Applications 3
    • Gene expression and cancer classification 3

Anna Lapuk

16 papers receiving 1.5k citations

Peers

Anna Lapuk
Comparison fields: 5 of 89
  • Cancer Research 456
  • Oncology 433
  • Molecular Biology 1.0k
  • Cell Biology 225
  • Genetics 200
Replace Genze Shao with:
Genze Shao China
Susan Mason United Kingdom
Josh Lauring United States
Jung-Sik Kim United States
Susan Wee United States
Xiaojuan Du China
Vyacheslav Akimov Denmark
Kristina Viktorsson Sweden
Sara Ricardo Portugal
Lluís López-Barcons United States
Anna Lapuk relative to Genze Shao China Genze Shao's profile →
Citations per field
00.5×1.5×
Genze Shao · 1×
Citations per year

Countries citing papers authored by Anna Lapuk

Since Specialization
Citations

This map shows the geographic impact of Anna 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 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 Lapuk more than expected).

Fields of papers citing papers by Anna Lapuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2004408
2 2006340
3 2007295
4 200396
5 200891
6 201173
7 200645
8 201841
9 201240
10 199831
11 201130
12 200416
13 200412
14 20148
15 19993
16 20202
17 20250

About Anna Lapuk

Anna Lapuk is a scholar working on Cancer Research, Molecular Biology, Plant Science, Oncology and Genetics, having authored 17 papers that have together received 1.5k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (6 papers), Genomics and Phylogenetic Studies (5 papers), Cancer Genomics and Diagnostics (4 papers), Genomic variations and chromosomal abnormalities (4 papers), RNA and protein synthesis mechanisms (3 papers), RNA Research and Splicing (3 papers), Molecular Biology Techniques and Applications (3 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Cancer Research (456 citations), Oncology (433 citations), Molecular Biology (1.0k citations), Cell Biology (225 citations) and Genetics (200 citations). Anna Lapuk has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Joe W. Gray, Wen-Lin Kuo, Gordon B. Mills, Kyosuke Yamada, David A. Fishman, John Lahad, Karen H. Lu, Kwai Wa Cheng, Jinsong Liu and Nelly Auersperg. Their work appears in journals such as Bioinformatics, Genes Chromosomes and Cancer, PLoS ONE, Cancer Research and Clinical Cancer Research.

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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