Kenneth D. Paull

14.4k citations
64 papers · 11.4k indexed · 5 hit papers · h-index 36
Topics
Cancer therapeutics and mechanisms (21 papers)Synthesis and biological activity (15 papers)Computational Drug Discovery Methods (12 papers)

In The Last Decade

Kenneth D. Paull

63 papers receiving 11.0k citations

Hit Papers

Feasibility of a High-Flux Anticancer Drug Screen Using a...19882026200020131991198819951990198950010001.5k2.0k2.5k

Peers

Kenneth D. Paull
Comparison fields: 5 of 168
  • Molecular Biology 6.2k
  • Organic Chemistry 4.3k
  • Oncology 1.9k
  • Pharmacology 1.5k
  • Toxicology 1.2k
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Citations per field
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Countries citing papers authored by Kenneth D. Paull

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth D. Paull

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth D. Paull. 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 Kenneth D. Paull. The network helps show where Kenneth D. Paull may publish in the future.

Co-authorship network of co-authors of Kenneth D. Paull

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth D. Paull. A scholar is included among the top collaborators of Kenneth D. Paull 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 Kenneth D. Paull. Kenneth D. Paull 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
#WorkIndexed citations
1 62
2 150
3 35
4 70
5 30
6 2
7 30
8 34
9 25
10 71
11 30
12 40
13 185
14 25
15
Display and Analysis of Patterns of Differential Activity of Drugs Against Human Tumor Cell Lines: Development of Mean Graph and COMPARE Algorithmbreakdown →
816
16
Reproducibility and response patterns of the ic50 values and relative cell line sensitivities from the nci human tumor cell line drug screening project
3
17
Development of human tumor cell line panels for use in disease-oriented drug screening.
74
18 35
19 45
20
Activity of a novel 4-quinolinecarboxylic acid, NSC 368390 [6-fluoro-2-(2'-fluoro-1,1'-biphenyl-4-yl)-3-methyl-4-quinolinecarb oxylic acid sodium salt], against experimental tumors.
80

About Kenneth D. Paull

Kenneth D. Paull is a scholar working on Toxicology, Organic Chemistry and Computational Theory and Mathematics, having authored 64 papers that have together received 11.4k indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (21 papers), Synthesis and biological activity (15 papers) and Computational Drug Discovery Methods (12 papers). The work is most often cited by research in Toxicology (1.2k citations), Organic Chemistry (4.3k citations) and Molecular Biology (6.2k citations). Kenneth D. Paull has collaborated with scholars based in United States, Germany and Malaysia. Frequent co-authors include Michael R. Boyd, Dominic A. Scudiero, Anne Monks, Robert H. Shoemaker, Philip Skehan, Larry Rubinstein, Sean Tierney, Michael J. Currens, David T. Vistica and James W. Langley. Their work appears in journals such as Science, Journal of Biological Chemistry and Nature Medicine.

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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