Paul D. Hartley
- Molecular Biology top 10%
- Infectious Diseases top 2%
- Plant Science top 5%
- Genetics top 10%
- Modeling and Simulation top 2%
- Co-authors
- Hiten D. MadhaniRyan RaisnerMarc D. MeneghiniOliver J. RandoStuart L. SchreiberChih Long LiuSubhash C. VermaAndrew Gorzalski
- Topics
- Genomics and Chromatin Dynamics (6 papers)SARS-CoV-2 and COVID-19 Research (5 papers)SARS-CoV-2 detection and testing (4 papers)
- Partner nations
- United States
In The Last Decade
Paul D. Hartley
15 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Molecular Biology 1.2k
- Infectious Diseases 561
- Plant Science 458
- Genetics 235
- Modeling and Simulation 133
Countries citing papers authored by Paul D. Hartley
This map shows the geographic impact of Paul D. Hartley'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 Paul D. Hartley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul D. Hartley more than expected).
Fields of papers citing papers by Paul D. Hartley
This network shows the impact of papers produced by Paul D. Hartley. 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 Paul D. Hartley. The network helps show where Paul D. Hartley may publish in the future.
Co-authorship network of co-authors of Paul D. Hartley
This figure shows the co-authorship network connecting the top 25 collaborators of Paul D. Hartley. A scholar is included among the top collaborators of Paul D. Hartley 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 Paul D. Hartley. Paul D. Hartley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 19 | |
| 3 | 17 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | Genomic evidence for reinfection with SARS-CoV-2: a case studybreakdown → | 484 |
| 7 | 42 | |
| 8 | 8 | |
| 9 | Chromosome-scale shotgun assembly using an in vitro method for long-range linkagebreakdown → | 468 |
| 10 | 96 | |
| 11 | 18 | |
| 12 | 50 | |
| 13 | 315 | |
| 14 | 4 | |
| 15 | Histone Variant H2A.Z Marks the 5′ Ends of Both Active and Inactive Genes in Euchromatinbreakdown → | 532 |
About Paul D. Hartley
Paul D. Hartley is a scholar working on Aging, Infectious Diseases and Modeling and Simulation, having authored 15 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and SARS-CoV-2 detection and testing (4 papers). The work is most often cited by research in Infectious Diseases (561 citations), Modeling and Simulation (133 citations) and Molecular Biology (1.2k citations). Paul D. Hartley has collaborated with scholars based in United States. Frequent co-authors include Hiten D. Madhani, Ryan Raisner, Marc D. Meneghini, Oliver J. Rando, Stuart L. Schreiber, Chih Long Liu, Subhash C. Verma, Andrew Gorzalski, Mark Pandori and Richard Tillett. Their work appears in journals such as Cell, Genes & Development and Molecular Cell.
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.