Alexander L. Perryman

2.3k citations
36 papers · 1.6k indexed · h-index 23
Topics
Computational Drug Discovery Methods (12 papers)HIV Research and Treatment (10 papers)HIV/AIDS drug development and treatment (10 papers)

In The Last Decade

Alexander L. Perryman

36 papers receiving 1.6k citations

Peers

Alexander L. Perryman
Comparison fields: 5 of 108
  • Molecular Biology 993
  • Infectious Diseases 591
  • Computational Theory and Mathematics 554
  • Virology 308
  • Materials Chemistry 218
Replace Arnout Voet with:
Arnout Voet Belgium
Christian G. Noble Singapore
D.O. Somers United Kingdom
Emanuele Perola United States
Martha S. Head United States
Worachart Sirawaraporn Thailand
E. Lucile White United States
Friedrich Rippmann Germany
Matheus Froeyen Belgium
Christoph Nitsche Australia
Alexander L. Perryman relative to Arnout Voet Belgium Arnout Voet's profile →
Citations per field
00.5×1.7×
Arnout Voet · 1×
Citations per year

Countries citing papers authored by Alexander L. Perryman

Since Specialization
Citations

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

Fields of papers citing papers by Alexander L. Perryman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander L. Perryman

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander L. Perryman. A scholar is included among the top collaborators of Alexander L. Perryman 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 Alexander L. Perryman. Alexander L. Perryman 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 7
2 15
3 48
4 27
5 24
6 28
7 111
8 25
9 22
10 41
11 48
12 40
13 30
14 7
15 56
16 19
17 46
18 22
19 194
20 136

About Alexander L. Perryman

Alexander L. Perryman is a scholar working on Virology, Infectious Diseases and Computational Theory and Mathematics, having authored 36 papers that have together received 1.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), HIV Research and Treatment (10 papers) and HIV/AIDS drug development and treatment (10 papers). The work is most often cited by research in Virology (308 citations), Computational Theory and Mathematics (554 citations) and Infectious Diseases (591 citations). Alexander L. Perryman has collaborated with scholars based in United States, Brazil and United Kingdom. Frequent co-authors include J. Andrew McCammon, Jung‐Hsin Lin, Sean Ekins, Joel S. Freundlich, Arthur J. Olson, Stefano Forli, Carolina Horta Andrade, Daniel N. Santiago, Alex M. Clark and Robert C. Reynolds. Their work appears in journals such as Journal of the American Chemical Society, PLoS ONE and Scientific Reports.

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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