Paul L. Richardson

2.4k citations
44 papers · 1.4k indexed · h-index 19

Paul L. Richardson

44 papers receiving 1.3k citations

Peers

Paul L. Richardson
Comparison fields: 5 of 110
  • Molecular Biology 851
  • Physiology 297
  • Computational Theory and Mathematics 224
  • Organic Chemistry 180
  • Cellular and Molecular Neuroscience 176
Replace Edmund D. Matayoshi with:
Edmund D. Matayoshi United States
R. Rajasekaran India
Mark A. Findeis United States
Marilena Manea Germany
Jane M. Withka United States
Agneta Tjernberg Sweden
Peter Chase United States
Andy Merritt United Kingdom
Enrico Guarnera Singapore
John Skidmore United Kingdom
Paul L. Richardson relative to Edmund D. Matayoshi United States Edmund D. Matayoshi's profile →
Citations per field
00.5×2.5×
Edmund D. Matayoshi · 1×
Citations per year

Countries citing papers authored by Paul L. Richardson

Since Specialization
Citations

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

Fields of papers citing papers by Paul L. Richardson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul L. Richardson

This figure shows the co-authorship network connecting the top 25 collaborators of Paul L. Richardson. A scholar is included among the top collaborators of Paul L. Richardson 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 L. Richardson. Paul L. Richardson 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 1
3 5
4 3
5 9
6 28
7 12
8 10
9 19
10 9
11 4
12 88
13 2
14 21
15 21
16 27
17 34
18 67
19 16
20 18

About Paul L. Richardson

Paul L. Richardson is a scholar working on Geriatrics and Gerontology, Hepatology and Oncology, having authored 44 papers that have together received 1.4k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (8 papers), Protein Degradation and Inhibitors (7 papers) and Peptidase Inhibition and Analysis (6 papers). The work is most often cited by research in Computational Theory and Mathematics (224 citations), Molecular Biology (851 citations) and Physiology (297 citations). Paul L. Richardson has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Jennifer J. Bouska, Vincent L. Giranda, V. Nienaber, Jonathan Greer, Karl A. Walter, Larry R. Solomon, Philip J. Hajduk, Edward T. Olejniczak, John E. Harlan and Alanna Schepartz. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

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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