Paul D. Lyne

4.9k citations
66 papers · 2.9k indexed · 1 hit paper · h-index 24
Topics
Computational Drug Discovery Methods (10 papers)Cytokine Signaling Pathways and Interactions (8 papers)Lung Cancer Treatments and Mutations (7 papers)

In The Last Decade

Paul D. Lyne

65 papers receiving 2.8k citations

Hit Papers

Accurate Prediction of the Relative Potencies of Members ...20062026201220192006100200300400500

Peers

Paul D. Lyne
Comparison fields: 5 of 135
  • Molecular Biology 1.7k
  • Computational Theory and Mathematics 914
  • Organic Chemistry 631
  • Oncology 384
  • Materials Chemistry 323
Replace J. Willem M. Nissink with:
J. Willem M. Nissink United Kingdom
Yixiang Cao United States
Paul Labute Canada
Alexander M. Smondyrev United States
Robert C. Rizzo United States
Jennifer L. Knight United States
Art E. Cho South Korea
Glen E. Kellogg United States
William R. Pitt United Kingdom
Thomas E. Exner Germany
Paul D. Lyne relative to J. Willem M. Nissink United Kingdom J. Willem M. Nissink's profile →
Citations per field
00.5×1.5×
J. Willem M. Nissink · 1×
Citations per year

Countries citing papers authored by Paul D. Lyne

Since Specialization
Citations

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

Fields of papers citing papers by Paul D. Lyne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul D. Lyne

This figure shows the co-authorship network connecting the top 25 collaborators of Paul D. Lyne. A scholar is included among the top collaborators of Paul D. Lyne 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 Paul D. Lyne. Paul D. Lyne 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 11
2 10
3 41
4 143
5 19
6 7
7 5
8 4
9 85
10 19
11 1
12 14
13 7
14 7
15 469
16 35
17 44
18 10
19 22
20 29

About Paul D. Lyne

Paul D. Lyne is a scholar working on Oncology, Physiology and Computational Theory and Mathematics, having authored 66 papers that have together received 2.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Cytokine Signaling Pathways and Interactions (8 papers) and Lung Cancer Treatments and Mutations (7 papers). The work is most often cited by research in Computational Theory and Mathematics (914 citations), Molecular Biology (1.7k citations) and Organic Chemistry (631 citations). Paul D. Lyne has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Jamal Saeh, Michelle L. Lamb, Martin Karplus, Adrian J. Mulholland, W. Graham Richards, William G. Richards, D. Michael P. Mingos, Milan Hodošček, Fabrizio Giordanetto and Hongming Chen. Their work appears in journals such as Journal of the American Chemical Society, Blood and PLoS ONE.

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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