Leo Hanke

67 total papers · 2.5k total citations
28 papers, 888 citations indexed

About

Leo Hanke is a scholar working on Infectious Diseases, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Leo Hanke has authored 28 papers receiving a total of 888 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Infectious Diseases, 11 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Molecular Biology. Recurrent topics in Leo Hanke's work include SARS-CoV-2 and COVID-19 Research (17 papers), Monoclonal and Polyclonal Antibodies Research (11 papers) and COVID-19 Clinical Research Studies (5 papers). Leo Hanke is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (17 papers), Monoclonal and Polyclonal Antibodies Research (11 papers) and COVID-19 Clinical Research Studies (5 papers). Leo Hanke collaborates with scholars based in Sweden, South Africa and United States. Leo Hanke's co-authors include Gerald M. McInerney, Daniel J. Sheward, Ben Murrell, Laura Perez Vidakovics, Ainhoa Moliner Morro, B.M. Hallberg, Hrishikesh Das, Gunilla B. Karlsson Hedestam, Hidde L. Ploegh and Martin Corcoran and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nano Letters.

In The Last Decade

Leo Hanke

27 papers receiving 881 citations

Author Peers

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

Author						Papers	Cites
Leo Hanke	460	402	381	169	121	28	888
Zachary T. Berndsen	291 0.6×	169 0.4×	351 0.9×	146 0.9×	155 1.3×	15	699
Laura Perez Vidakovics	335 0.7×	200 0.5×	292 0.8×	155 0.9×	103 0.9×	22	901
Les P. Nagata	451 1.0×	149 0.4×	347 0.9×	239 1.4×	77 0.6×	45	928
Kim-Marie A. Dam	836 1.8×	220 0.5×	339 0.9×	154 0.9×	87 0.7×	11	991
Alain Robert	191 0.4×	211 0.5×	356 0.9×	97 0.6×	79 0.7×	40	820
Christopher A. Cottrell	456 1.0×	210 0.5×	363 1.0×	237 1.4×	80 0.7×	24	928
Sham Nambulli	758 1.6×	242 0.6×	269 0.7×	94 0.6×	135 1.1×	21	995
Wei Li	584 1.3×	172 0.4×	296 0.8×	99 0.6×	64 0.5×	47	936
Darren J. Schofield	231 0.5×	265 0.7×	334 0.9×	124 0.7×	61 0.5×	18	841
Gregory Coia	275 0.6×	281 0.7×	370 1.0×	68 0.4×	38 0.3×	23	864

Countries citing papers authored by Leo Hanke

Since Specialization

Citations

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

Fields of papers citing papers by Leo Hanke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leo Hanke. 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 Leo Hanke. The network helps show where Leo Hanke may publish in the future.

Co-authorship network of co-authors of Leo Hanke

This figure shows the co-authorship network connecting the top 25 collaborators of Leo Hanke. A scholar is included among the top collaborators of Leo Hanke 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 Leo Hanke. Leo Hanke 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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