P.M. Collins

48 papers receiving 1.9k citations

Peers

P.M. Collins
Comparison fields: 5 of 112
  • Immunology 570
  • Structural Biology 26
  • Molecular Biology 1.1k
  • Computational Theory and Mathematics 250
  • Ocean Engineering 213
Replace Ville Uski with:
Ville Uski United Kingdom
Pascal Théveneau France
Sang Jae Lee South Korea
Ron Jacak United States
Lawrence J. DeLucas United States
Lennart Lindfors Sweden
Peter G. HARTMAN Switzerland
Devendra S. Kalonia United States
Jean Jakoncic United States
Julien Marcoux France
P.M. Collins relative to Ville Uski United Kingdom Ville Uski's profile →
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Citations per year

Countries citing papers authored by P.M. Collins

Since Specialization
Citations

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

Fields of papers citing papers by P.M. Collins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside P.M. Collins, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with P.M. Collins Line = papers co-authored together P.M. Collins links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017216
2 2016169
3 2015131
4 201089
5 201489
6 200781
7 201778
8 201776
9 201367
10 201665
11 200757
12 201754
13 201153
14 202151
15 201746
16 201838
17 201338
18 202036
19 201935
20 200533

About P.M. Collins

P.M. Collins is a scholar working on Ocean Engineering, Molecular Biology, Immunology, Mechanical Engineering and Microbiology, having authored 50 papers that have together received 1.9k indexed citations. Recurring topics across this work include Hydraulic Fracturing and Reservoir Analysis (12 papers), Galectins and Cancer Biology (10 papers), Drilling and Well Engineering (9 papers), Glycosylation and Glycoproteins Research (9 papers), Enzyme Structure and Function (9 papers), Protein Structure and Dynamics (7 papers), Peptidase Inhibition and Analysis (5 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Immunology (570 citations), Structural Biology (26 citations), Molecular Biology (1.1k citations), Computational Theory and Mathematics (250 citations) and Ocean Engineering (213 citations). P.M. Collins has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Helen Blanchard, Frank von Delft, R. Talon, Tobias J. Krojer, Khuchtumur Bum‐Erdene, Hakon Leffler, Ulf J. Nilsson, Brian D. Marsden, Nicholas M. Pearce and Xing Yu. Their work appears in journals such as Acta Crystallographica Section D Structural Biology, Journal of Medicinal Chemistry, Journal of Canadian Petroleum Technology, ChemBioChem and Chemistry - A European Journal.

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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