Kevin P. Cross

1.9k total citations
41 papers, 735 citations indexed

About

Kevin P. Cross is a scholar working on Computational Theory and Mathematics, Cancer Research and Molecular Biology. According to data from OpenAlex, Kevin P. Cross has authored 41 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computational Theory and Mathematics, 11 papers in Cancer Research and 9 papers in Molecular Biology. Recurrent topics in Kevin P. Cross's work include Computational Drug Discovery Methods (19 papers), Carcinogens and Genotoxicity Assessment (11 papers) and Analytical Chemistry and Chromatography (8 papers). Kevin P. Cross is often cited by papers focused on Computational Drug Discovery Methods (19 papers), Carcinogens and Genotoxicity Assessment (11 papers) and Analytical Chemistry and Chromatography (8 papers). Kevin P. Cross collaborates with scholars based in United States, United Kingdom and Italy. Kevin P. Cross's co-authors include Paul E. Blower, Glenn J. Myatt, David J. Ponting, Luis G. Valerio, Chihae Yang, William Fisanick, Andrew Rusinko, David M. DeMarini, Lidiya Stavitskaya and Patricia A. Escobar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Medicinal Chemistry and Toxicology and Applied Pharmacology.

In The Last Decade

Kevin P. Cross

38 papers receiving 685 citations

Peers

Kevin P. Cross
Comparison fields: 5 of 99
  • Computational Theory and Mathematics 343
  • Molecular Biology 260
  • Health, Toxicology and Mutagenesis 156
  • Cancer Research 147
  • Spectroscopy 100
Wolfgang Muster Switzerland
Susanne Glowienke Switzerland
Laura Custer United States
Ivanka Tsakovska Bulgaria
Krista L. Dobo United States
Roustem Saiakhov United States
Carol A. Marchant United Kingdom
Alexander Amberg Germany
Andreas Czich Germany
Todor Pavlov Bulgaria
Wolfgang Muster Switzerland View profile →
Citations per field, relative to Kevin P. Cross
Kevin P. Cross · 1×
Citations per year, relative to Kevin P. Cross
Kevin P. Cross · 1×

Countries citing papers authored by Kevin P. Cross

Since Specialization
Citations

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

Fields of papers citing papers by Kevin P. Cross

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin P. Cross. 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 Kevin P. Cross. The network helps show where Kevin P. Cross may publish in the future.

Co-authorship network of co-authors of Kevin P. Cross

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin P. Cross. A scholar is included among the top collaborators of Kevin P. Cross 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 Kevin P. Cross. Kevin P. Cross is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 28
4 2
5 8
6 2
7 20
8 3
9 10
10 6
11 12
12 26
13 47
14 21
15 5
16 24
17 39
18 18
19 6
20 19

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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