Dana D. Lasko

2.1k citations
21 papers · 1.7k indexed · 1 hit paper · h-index 16
Topics
DNA Repair Mechanisms (11 papers)CRISPR and Genetic Engineering (4 papers)Carcinogens and Genotoxicity Assessment (3 papers)

In The Last Decade

Dana D. Lasko

21 papers receiving 1.7k citations

Hit Papers

XRCC1 Stimulates Human Polynucleotide Kinase Activity at ...20012026200920172001100200300400500

Peers

Dana D. Lasko
Comparison fields: 5 of 90
  • Molecular Biology 1.4k
  • Oncology 421
  • Cancer Research 303
  • Genetics 226
  • Pathology and Forensic Medicine 186
Replace Craig A. Hauser with:
Craig A. Hauser United States
Louise Bergeron United States
A. Lazaris-Karatzas Canada
Sachin Katyal Canada
Benjamin P. Chen United States
Naomi Levy-Strumpf Israel
Bob D. Brown United States
Jiaxue Wu China
W Meikrantz United States
Rati Fotedar United States
Dana D. Lasko relative to Craig A. Hauser United States Craig A. Hauser's profile →
Citations per field
00.5×2.8×
Craig A. Hauser · 1×
Citations per year

Countries citing papers authored by Dana D. Lasko

Since Specialization
Citations

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

Fields of papers citing papers by Dana D. Lasko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dana D. Lasko. 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 Dana D. Lasko. The network helps show where Dana D. Lasko may publish in the future.

Co-authorship network of co-authors of Dana D. Lasko

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 3
3 97
4 20
5
XRCC1 Stimulates Human Polynucleotide Kinase Activity at Damaged DNA Termini and Accelerates DNA Single-Strand Break Repairbreakdown →
512
6 19
7 241
8 22
9 7
10 45
11 80
12 279
13 37
14
Biochemical properties of mammalian DNA ligase I and the molecular defect in Bloom's syndrome.
2
15 102
16 64
17 123
18 25
19 27
20 8

About Dana D. Lasko

Dana D. Lasko is a scholar working on Cancer Research, Molecular Biology and Biotechnology, having authored 21 papers that have together received 1.7k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (11 papers), CRISPR and Genetic Engineering (4 papers) and Carcinogens and Genotoxicity Assessment (3 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Cancer Research (303 citations) and Oncology (421 citations). Dana D. Lasko has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Tomas Lindahl, Magnus Nordenskjöld, Webster K. Cavenee, Alan E. Tomkinson, Angela Thistlethwaite, Richard Taylor, Hong Zhang, Feridoun Karimi‐Busheri, Michael Weinfeld and Keith W. Caldecott. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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