P.M. Collins

2.5k citations
46 papers · 1.7k · h-index 24

Impact in

  • Immunology top 5%
    • Galectins and Cancer Biology
    • Toxin Mechanisms and Immunotoxins
    • Glycosylation and Glycoproteins Research
    • Protein Structure and Dynamics

Papers in

P.M. Collins

45 papers receiving 1.7k citations

Peers

P.M. Collins
Comparison fields: 5 of 106
  • Immunology 499
  • Molecular Biology 996
  • Ocean Engineering 216
  • Structural Biology 17
  • Computational Theory and Mathematics 194
Replace Shuiqing Hu with:
Shuiqing Hu China
Pascal Théveneau France
Lennart Lindfors Sweden
Devendra S. Kalonia United States
Chris W. Sutton United Kingdom
Herbert Baumann Sweden
Shinichi Mochizuki Japan
Sung Jong Lee South Korea
Lawrence J. DeLucas United States
P.M. Collins relative to Shuiqing Hu China Shuiqing Hu's profile →
Citations per field
00.5×8.3×
Shuiqing Hu · 1×
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 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017186
2 2016158
3 2015107
4 201089
5 201487
6 200782
7 201770
8 201367
9 201766
10 201663
11 200757
12 201753
13 202142
14 201741
15 201336
16 201934
17 201834
18 200532
19 200231
20 201729

About P.M. Collins

P.M. Collins is a scholar working on Molecular Biology, Mechanical Engineering, Ocean Engineering, Immunology and Materials Chemistry, having authored 46 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hydraulic Fracturing and Reservoir Analysis (12 papers), Drilling and Well Engineering (9 papers), Galectins and Cancer Biology (9 papers), Glycosylation and Glycoproteins Research (8 papers), Enzyme Structure and Function (8 papers), Protein Structure and Dynamics (6 papers), Peptidase Inhibition and Analysis (5 papers) and Seismic Imaging and Inversion Techniques (4 papers). The work is most often cited by research in Immunology (499 citations), Molecular Biology (996 citations), Ocean Engineering (216 citations), Structural Biology (17 citations) and Computational Theory and Mathematics (194 citations). P.M. Collins has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Helen Blanchard, F. von Delft, R. Talon, T. Krojer, Khuchtumur Bum‐Erdene, Xing Yu, Nicholas M. Pearce, Brian D. Marsden, Hakon Leffler and Ulf J. Nilsson. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Canadian Petroleum Technology, Acta Crystallographica Section D Structural Biology, Chemistry - A European Journal and ChemBioChem.

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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