Hannah K. Frank

45 total papers · 863 total citations
19 papers, 319 citations indexed

About

Hannah K. Frank is a scholar working on Infectious Diseases, Ecology, Evolution, Behavior and Systematics and Ecological Modeling. According to data from OpenAlex, Hannah K. Frank has authored 19 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 7 papers in Ecology, Evolution, Behavior and Systematics and 6 papers in Ecological Modeling. Recurrent topics in Hannah K. Frank's work include Species Distribution and Climate Change (6 papers), Viral Infections and Vectors (6 papers) and Bat Biology and Ecology Studies (5 papers). Hannah K. Frank is often cited by papers focused on Species Distribution and Climate Change (6 papers), Viral Infections and Vectors (6 papers) and Bat Biology and Ecology Studies (5 papers). Hannah K. Frank collaborates with scholars based in United States, Canada and United Kingdom. Hannah K. Frank's co-authors include Elizabeth A. Hadly, Seth D. Judson, Scott D. Boyd, Chase D. Mendenhall, Gretchen C. Daily, Luke O. Frishkoff, Evan A. Eskew, Sadie J. Ryan, Colin J. Carlson and Gregory F. Albery and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Virology and The American Naturalist.

In The Last Decade

Hannah K. Frank

19 papers receiving 318 citations

Author Peers

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

Author Last Decade Papers Cites
Hannah K. Frank 124 114 70 69 65 19 319
Kendra L. Phelps 136 1.1× 130 1.1× 84 1.2× 55 0.8× 102 1.6× 22 327
Mario Alvarado‐Rybak 110 0.9× 67 0.6× 40 0.6× 47 0.7× 96 1.5× 28 306
Manuel Jara 84 0.7× 161 1.4× 44 0.6× 62 0.9× 63 1.0× 36 353
Adrian A. Castellanos 64 0.5× 48 0.4× 55 0.8× 74 1.1× 78 1.2× 20 271
Nozomi Nakanishi 79 0.6× 86 0.8× 20 0.3× 47 0.7× 150 2.3× 27 327
Fabrice Brescia 67 0.5× 81 0.7× 37 0.5× 30 0.4× 109 1.7× 20 312
Sergei Khomenko 91 0.7× 153 1.3× 54 0.8× 30 0.4× 78 1.2× 10 366
Ísis Meri Medri 53 0.4× 100 0.9× 38 0.5× 33 0.5× 197 3.0× 20 365
Thomas Hiller 58 0.5× 169 1.5× 30 0.4× 66 1.0× 60 0.9× 20 276
Emma V. Willcox 100 0.8× 234 2.1× 20 0.3× 54 0.8× 161 2.5× 34 357

Countries citing papers authored by Hannah K. Frank

Since Specialization
Citations

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

Fields of papers citing papers by Hannah K. Frank

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hannah K. Frank. 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 Hannah K. Frank. The network helps show where Hannah K. Frank may publish in the future.

Co-authorship network of co-authors of Hannah K. Frank

This figure shows the co-authorship network connecting the top 25 collaborators of Hannah K. Frank. A scholar is included among the top collaborators of Hannah K. Frank 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 Hannah K. Frank. Hannah K. Frank 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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