Katie M. Leick

19 total papers · 714 total citations
15 papers, 498 citations indexed

About

Katie M. Leick is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Katie M. Leick has authored 15 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 8 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in Katie M. Leick's work include Cancer Immunotherapy and Biomarkers (7 papers), CAR-T cell therapy research (4 papers) and Immunotherapy and Immune Responses (4 papers). Katie M. Leick is often cited by papers focused on Cancer Immunotherapy and Biomarkers (7 papers), CAR-T cell therapy research (4 papers) and Immunotherapy and Immune Responses (4 papers). Katie M. Leick collaborates with scholars based in United States, Russia and Sweden. Katie M. Leick's co-authors include Craig L. Slingluff, Marit M. Melssen, Natasha Sheybani, Víctor H. Engelhard, Amber N. Woods, Samuel Young, Robin S. Lindsay, Anthony B. Rodriguez, Ileana S. Mauldin and Salwador Cyranowski and has published in prestigious journals such as Annals of Surgery, Free Radical Biology and Medicine and Cell Reports.

In The Last Decade

Katie M. Leick

15 papers receiving 492 citations

Author Peers

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

Author						Papers	Cites
Katie M. Leick	262	225	135	81	74	15	498
Christopher Fan	284 1.1×	220 1.0×	123 0.9×	52 0.6×	77 1.0×	19	571
Andrew Cannon	243 0.9×	130 0.6×	248 1.8×	56 0.7×	79 1.1×	24	494
Ryotaro Ogawa	339 1.3×	228 1.0×	201 1.5×	46 0.6×	131 1.8×	15	577
Caren Jayasinghe	286 1.1×	182 0.8×	204 1.5×	35 0.4×	138 1.9×	16	510
Cristina Migali	374 1.4×	198 0.9×	91 0.7×	44 0.5×	64 0.9×	17	508
M Katano	169 0.6×	117 0.5×	246 1.8×	113 1.4×	139 1.9×	19	539
K. Myers	171 0.7×	279 1.2×	207 1.5×	39 0.5×	71 1.0×	12	527
Dror Alishekevitz	270 1.0×	191 0.8×	270 2.0×	41 0.5×	104 1.4×	16	557
Ana Lako	257 1.0×	170 0.8×	263 1.9×	33 0.4×	120 1.6×	17	569
Pat Rayman	249 1.0×	252 1.1×	192 1.4×	68 0.8×	192 2.6×	16	579

Countries citing papers authored by Katie M. Leick

Since Specialization

Citations

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

Fields of papers citing papers by Katie M. Leick

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katie M. Leick. 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 Katie M. Leick. The network helps show where Katie M. Leick may publish in the future.

Co-authorship network of co-authors of Katie M. Leick

This figure shows the co-authorship network connecting the top 25 collaborators of Katie M. Leick. A scholar is included among the top collaborators of Katie M. Leick 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 Katie M. Leick. Katie M. Leick 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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