Leisha D. Nolen
- Molecular Biology top 5%
- Genetics top 5%
- Public Health, Environmental and Occupational Health top 5%
- Pediatrics, Perinatology and Child Health top 5%
- Infectious Diseases top 5%
- Co-authors
- Mellissa R.W. MannMarisa S. BartolomeiRaluca VeronaKeith E. LathamYoung Gie ChungShelagh BoyleWendy A. BickmoreAdam S. Doherty
- Topics
- SARS-CoV-2 and COVID-19 Research (5 papers)Hepatitis B Virus Studies (5 papers)Liver Disease Diagnosis and Treatment (5 papers)
- Journals
- CellDevelopmentHepatology
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Leisha D. Nolen
33 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Molecular Biology 1.3k
- Genetics 530
- Public Health, Environmental and Occupational Health 366
- Pediatrics, Perinatology and Child Health 352
- Infectious Diseases 342
Countries citing papers authored by Leisha D. Nolen
This map shows the geographic impact of Leisha D. Nolen'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 Leisha D. Nolen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leisha D. Nolen more than expected).
Fields of papers citing papers by Leisha D. Nolen
This network shows the impact of papers produced by Leisha D. Nolen. 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 Leisha D. Nolen. The network helps show where Leisha D. Nolen may publish in the future.
Co-authorship network of co-authors of Leisha D. Nolen
This figure shows the co-authorship network connecting the top 25 collaborators of Leisha D. Nolen. A scholar is included among the top collaborators of Leisha D. Nolen 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 Leisha D. Nolen. Leisha D. Nolen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 36 | |
| 4 | 7 | |
| 5 | 6 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 9 | |
| 10 | 13 | |
| 11 | 1 | |
| 12 | 16 | |
| 13 | 135 | |
| 14 | Incidence of Hansen's Disease--United States, 1994-2011. | 20 |
| 15 | Single-Cell Dynamics of Genome-Nuclear Lamina Interactionsbreakdown → | 500 |
| 16 | 13 | |
| 17 | 71 | |
| 18 | 99 | |
| 19 | 359 | |
| 20 | 259 |
About Leisha D. Nolen
Leisha D. Nolen is a scholar working on Hepatology, Infectious Diseases and Health, having authored 37 papers that have together received 2.1k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), Hepatitis B Virus Studies (5 papers) and Liver Disease Diagnosis and Treatment (5 papers). The work is most often cited by research in Virology (169 citations), Modeling and Simulation (105 citations) and Molecular Biology (1.3k citations). Leisha D. Nolen has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Mellissa R.W. Mann, Marisa S. Bartolomei, Raluca Verona, Keith E. Latham, Young Gie Chung, Shelagh Boyle, Wendy A. Bickmore, Adam S. Doherty, Richard M. Schultz and Ludo Pagie. Their work appears in journals such as Cell, Development and Hepatology.
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.