Kim G. Hankey

49 total papers · 1.3k total citations
34 papers, 710 citations indexed

About

Kim G. Hankey is a scholar working on Oncology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Kim G. Hankey has authored 34 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 16 papers in Immunology and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Kim G. Hankey's work include Effects of Radiation Exposure (13 papers), CAR-T cell therapy research (11 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Kim G. Hankey is often cited by papers focused on Effects of Radiation Exposure (13 papers), CAR-T cell therapy research (11 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Kim G. Hankey collaborates with scholars based in United States, United Kingdom and South Africa. Kim G. Hankey's co-authors include Thomas J. MacVittie, Ann M. Farese, Alexander Bennett, Dean L. Mann, Allison Gibbs, George A. Parker, K Prado, Cassandra P. Smith, Maureen A. Kane and David K. Klassen and has published in prestigious journals such as Blood, Scientific Reports and Annals of the New York Academy of Sciences.

In The Last Decade

Kim G. Hankey

33 papers receiving 698 citations

Author Peers

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

Author Last Decade Papers Cites
Kim G. Hankey 361 190 177 171 162 34 710
Lydia Meziani 212 0.6× 150 0.8× 200 1.1× 125 0.7× 267 1.6× 25 642
Payel Bhanja 291 0.8× 95 0.5× 201 1.1× 338 2.0× 144 0.9× 25 776
Laibin Liu 240 0.7× 173 0.9× 243 1.4× 359 2.1× 147 0.9× 19 910
Duo Liu 230 0.6× 135 0.7× 111 0.6× 141 0.8× 184 1.1× 38 723
Florian Wirsdörfer 192 0.5× 203 1.1× 244 1.4× 213 1.2× 213 1.3× 23 788
Johannes Schwenck 390 1.1× 73 0.4× 169 1.0× 121 0.7× 294 1.8× 35 774
Harald Fricke 299 0.8× 201 1.1× 127 0.7× 218 1.3× 64 0.4× 31 753
Anu Autio 281 0.8× 176 0.9× 141 0.8× 189 1.1× 88 0.5× 26 625
Ayla O. White 250 0.7× 85 0.4× 118 0.7× 161 0.9× 229 1.4× 18 633
Sarah E. Nicholas 272 0.8× 159 0.8× 223 1.3× 170 1.0× 94 0.6× 38 795

Countries citing papers authored by Kim G. Hankey

Since Specialization
Citations

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

Fields of papers citing papers by Kim G. Hankey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kim G. Hankey. 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 Kim G. Hankey. The network helps show where Kim G. Hankey may publish in the future.

Co-authorship network of co-authors of Kim G. Hankey

This figure shows the co-authorship network connecting the top 25 collaborators of Kim G. Hankey. A scholar is included among the top collaborators of Kim G. Hankey 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 Kim G. Hankey. Kim G. Hankey 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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