David A. Scott

2.6k citations
50 papers · 1.5k indexed · 1 hit paper · h-index 19
Topics
Cancer therapeutics and mechanisms (6 papers)Protein Kinase Regulation and GTPase Signaling (5 papers)Lung Cancer Treatments and Mutations (5 papers)

In The Last Decade

David A. Scott

47 papers receiving 1.5k citations

Hit Papers

An open-source drug discovery platform enables ultra-larg...20202026202220242020100200300

Peers

David A. Scott
Comparison fields: 5 of 121
  • Molecular Biology 979
  • Oncology 346
  • Computational Theory and Mathematics 320
  • Organic Chemistry 223
  • Pulmonary and Respiratory Medicine 156
Replace Bradley T. Scroggins with:
Bradley T. Scroggins United States
Wanping Xu United States
Tobias Schmidt Germany
Hong Wu China
Alison Maloney United Kingdom
Stefan Müller Germany
John Sensintaffar United States
Shiro Soga Japan
Tong Ying Shun United States
Dhaval K. Shah United States
David A. Scott relative to Bradley T. Scroggins United States Bradley T. Scroggins's profile →
Citations per field
00.5×
Bradley T. Scroggins · 1×
Citations per year

Countries citing papers authored by David A. Scott

Since Specialization
Citations

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

Fields of papers citing papers by David A. Scott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Scott. 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 David A. Scott. The network helps show where David A. Scott may publish in the future.

Co-authorship network of co-authors of David A. Scott

This figure shows the co-authorship network connecting the top 25 collaborators of David A. Scott. A scholar is included among the top collaborators of David A. Scott 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 David A. Scott. David A. Scott 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 2
2 2
3 56
4 26
5 13
6 13
7 4
8
An open-source drug discovery platform enables ultra-large virtual screensbreakdown →
395
9 14
10 4
11 8
12 29
13 67
14 5
15 27
16 43
17 10
18 17
19 12
20 14

About David A. Scott

David A. Scott is a scholar working on Equine, Molecular Biology and Oncology, having authored 50 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (6 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and Lung Cancer Treatments and Mutations (5 papers). The work is most often cited by research in Equine (40 citations), Computational Theory and Mathematics (320 citations) and Molecular Biology (979 citations). David A. Scott has collaborated with scholars based in United States, Australia and South Korea. Frequent co-authors include Nathanael S. Gray, Thomas W. Gero, Pasi A. Jänne, Christoph Gorgulla, Haribabu Arthanari, Yurii S. Moroz, Patrick D. Fischer, Gerhard Wagner, Yehor S. Malets and Paul Coote. Their work appears in journals such as Nature, Journal of Clinical Investigation and Nature Communications.

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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