Edward Price

2.5k citations
13 papers · 1.9k indexed · 1 hit paper · h-index 9
Topics
Computational Drug Discovery Methods (6 papers)Machine Learning in Materials Science (2 papers)Protein Degradation and Inhibitors (2 papers)

In The Last Decade

Edward Price

12 papers receiving 1.8k citations

Hit Papers

Synergistic drug combinations tend to improve therapeutic...20092026201420202009200400600

Peers

Edward Price
Comparison fields: 5 of 125
  • Molecular Biology 1.2k
  • Computational Theory and Mathematics 345
  • Genetics 344
  • Biomaterials 206
  • Plant Science 200
Replace Adrian Heilbut with:
Adrian Heilbut United States
Alexis A. Borisy United States
Hui Sun Lee United States
Grant R. Zimmermann United States
Karl A. Walter United States
Andrew Krueger United States
Chengchao Xu China
Antonio Pineda‐Lucena Spain
Hongxiang Hu United States
Glenn F. Short United States
Edward Price relative to Adrian Heilbut United States Adrian Heilbut's profile →
Citations per field
00.5×2.7×
Adrian Heilbut · 1×
Citations per year

Countries citing papers authored by Edward Price

Since Specialization
Citations

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

Fields of papers citing papers by Edward Price

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edward Price. 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 Edward Price. The network helps show where Edward Price may publish in the future.

Co-authorship network of co-authors of Edward Price

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 0
2 6
3 2
4 41
5 7
6 21
7 12
8 13
9 15
10
Synergistic drug combinations tend to improve therapeutically relevant selectivitybreakdown →
742
11 473
12 103
13 469

About Edward Price

Edward Price is a scholar working on Computational Theory and Mathematics, Behavioral Neuroscience and Biophysics, having authored 13 papers that have together received 1.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Machine Learning in Materials Science (2 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Computational Theory and Mathematics (345 citations), Molecular Biology (1.2k citations) and Biomaterials (206 citations). Edward Price has collaborated with scholars based in United States, Brazil and Germany. Frequent co-authors include Suwon Kim, David R. Cox, R Myers, Margit Burmeister, Alexis A. Borisy, Margaret Lee, Grant R. Zimmermann, Joseph Lehár, Andrew Krueger and Xiaowei Jin. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Biotechnology.

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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