Leisha D. Nolen

66 total papers · 5.7k total citations
37 papers, 2.1k citations indexed

About

Leisha D. Nolen is a scholar working on Epidemiology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Leisha D. Nolen has authored 37 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 11 papers in Infectious Diseases and 10 papers in Molecular Biology. Recurrent topics in Leisha D. Nolen's work include Hepatitis C virus research (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Liver Disease Diagnosis and Treatment (5 papers). Leisha D. Nolen is often cited by papers focused on Hepatitis C virus research (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Liver Disease Diagnosis and Treatment (5 papers). Leisha D. Nolen collaborates with scholars based in United States, United Kingdom and Netherlands. Leisha D. Nolen's co-authors include Mellissa R.W. Mann, Marisa S. Bartolomei, Raluca Verona, Shelagh Boyle, Keith E. Latham, Young Gie Chung, Wendy A. Bickmore, Richard M. Schultz, Adam S. Doherty and Sandra S. de Vries and has published in prestigious journals such as Cell, Development and Hepatology.

In The Last Decade

Leisha D. Nolen

33 papers receiving 2.0k citations

Hit Papers

Single-Cell Dynamics of G... 2013 2026 2017 2021 2013 2021 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Leisha D. Nolen 1.3k 530 363 352 340 37 2.1k
Wendy A. Burgers 1.2k 0.9× 296 0.6× 72 0.2× 78 0.2× 764 2.2× 70 2.6k
Denise P. Cavalcanti 416 0.3× 583 1.1× 798 2.2× 354 1.0× 564 1.7× 57 1.9k
Nuria Izquierdo‐Useros 754 0.6× 127 0.2× 202 0.6× 143 0.4× 815 2.4× 76 2.6k
Orna Mor 758 0.6× 138 0.3× 126 0.3× 35 0.1× 1.1k 3.2× 103 2.3k
Sébastien Landry 996 0.8× 191 0.4× 193 0.5× 156 0.4× 181 0.5× 40 2.4k
Franca C. Hartgers 436 0.3× 104 0.2× 377 1.0× 138 0.4× 289 0.8× 40 3.0k
Charles S. Mgone 221 0.2× 119 0.2× 553 1.5× 104 0.3× 277 0.8× 50 1.6k
Matthias Tenbusch 487 0.4× 226 0.4× 77 0.2× 53 0.2× 412 1.2× 90 2.1k
Leena Kinnunen 854 0.7× 513 1.0× 110 0.3× 39 0.1× 1.0k 3.0× 54 3.0k
Alain Pacis 628 0.5× 326 0.6× 93 0.3× 55 0.2× 359 1.1× 35 1.8k

Countries citing papers authored by Leisha D. Nolen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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