Daniel J. Laverty

496 total citations
17 papers, 209 citations indexed

About

Daniel J. Laverty is a scholar working on Molecular Biology, Oncology and Biophysics. According to data from OpenAlex, Daniel J. Laverty has authored 17 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Oncology and 3 papers in Biophysics. Recurrent topics in Daniel J. Laverty's work include DNA Repair Mechanisms (11 papers), Single-cell and spatial transcriptomics (3 papers) and CRISPR and Genetic Engineering (3 papers). Daniel J. Laverty is often cited by papers focused on DNA Repair Mechanisms (11 papers), Single-cell and spatial transcriptomics (3 papers) and CRISPR and Genetic Engineering (3 papers). Daniel J. Laverty collaborates with scholars based in United States, China and Switzerland. Daniel J. Laverty's co-authors include Leo Li‐Ying Chan, Dmitry Kuksin, Jean Qiu, Marc M. Greenberg, Zachary D. Nagel, Cortt G. Piett, Roopali Gandhi, Tim Smith, Parham Nejad and Sylvie Doublié and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Nature Communications.

In The Last Decade

Daniel J. Laverty

17 papers receiving 201 citations

Peers

Daniel J. Laverty
Comparison fields: 5 of 67
  • Molecular Biology 136
  • Oncology 42
  • Biomedical Engineering 37
  • Cancer Research 22
  • Biophysics 20
Replace Neda Saraygord‐Afshari with:
Neda Saraygord‐Afshari Iran
Alişan Kayabölen Türkiye
Linda Arngården Sweden
Deepak Kumar Sahel India
Akiko Shiratori Japan
Afoma C. Umeano United States
Mattia Brugiolo United States
Jessica Ayache France
Zaira Seferbekova Russia
Leah E. Escalante United States
Neda Saraygord‐Afshari Iran View profile →
Citations per field, relative to Daniel J. Laverty
Daniel J. Laverty · 1×
Citations per year, relative to Daniel J. Laverty
Daniel J. Laverty · 1×

Countries citing papers authored by Daniel J. Laverty

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Laverty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Laverty. 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 Daniel J. Laverty. The network helps show where Daniel J. Laverty may publish in the future.

Co-authorship network of co-authors of Daniel J. Laverty

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

All Works

17 of 17 papers shown
# Work Indexed citations
1 14
2 10
3 1
4 10
5 16
6 14
7 11
8 3
9 7
10 4
11 10
12 13
13 7
14 52
15 10
16 1
17 26

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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