David Pattinson

694 total citations
22 papers, 228 citations indexed

About

David Pattinson is a scholar working on Epidemiology, Infectious Diseases and Agronomy and Crop Science. According to data from OpenAlex, David Pattinson has authored 22 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 9 papers in Infectious Diseases and 4 papers in Agronomy and Crop Science. Recurrent topics in David Pattinson's work include Influenza Virus Research Studies (11 papers), Respiratory viral infections research (7 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). David Pattinson is often cited by papers focused on Influenza Virus Research Studies (11 papers), Respiratory viral infections research (7 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). David Pattinson collaborates with scholars based in United States, Japan and United Kingdom. David Pattinson's co-authors include Kevin J. Tracey, Timothy C. Wang, Joseph Conigliaro, David A. Tuveson, Tobias Janowitz, Robert J. Asher, Yoshihiro Kawaoka, Gabriele Neumann, Lionel Hautier and S. Chiba and has published in prestigious journals such as New England Journal of Medicine, Gut and American Journal of Epidemiology.

In The Last Decade

David Pattinson

18 papers receiving 221 citations

Peers

David Pattinson
Comparison fields: 5 of 67
  • Infectious Diseases 114
  • Epidemiology 60
  • Paleontology 46
  • Molecular Biology 40
  • Neurology 33
Replace Marie Martin with:
Marie Martin France
Matt Richardson United Kingdom
J.K. Sims United States
Polianna Lemos Moura Moreira Albuquerque Brazil
A.J. Trevett Papua New Guinea
Danny Noack Netherlands
Л. Ф. Курило Russia
Adolf Saweri Papua New Guinea
Kathrin Nägele Germany
Marina K. Karapetian Russia
Marie Martin France View profile →
Citations per field, relative to David Pattinson
David Pattinson · 1×
Citations per year, relative to David Pattinson
David Pattinson · 1×

Countries citing papers authored by David Pattinson

Since Specialization
Citations

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

Fields of papers citing papers by David Pattinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Pattinson. 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 David Pattinson. The network helps show where David Pattinson may publish in the future.

Co-authorship network of co-authors of David Pattinson

This figure shows the co-authorship network connecting the top 25 collaborators of David Pattinson. A scholar is included among the top collaborators of David Pattinson 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 David Pattinson. David Pattinson 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
# Work Indexed citations
1 0
2 0
3 3
4 1
5 0
6 4
7 8
8 2
9 5
10 1
11 10
12 4
13 4
14 7
15 9
16 7
17
Famotidine use and quantitativesymptom tracking for COVID-19 in nonhospitalizedpatients: A case series
1
18 18
19 5
20 31

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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