Peter Thompson

1.1k citations
41 papers · 643 · h-index 12

Impact in

  • Genetics top 10%
    • Genomic variations and chromosomal abnormalities
    • Genetics and Neurodevelopmental Disorders
    • Genomics and Rare Diseases

Papers in

Peter Thompson

40 papers receiving 597 citations

Peers

Peter Thompson
Comparison fields: 5 of 101
  • Genetics 248
  • Hepatology 36
  • Neurology 66
  • Pediatrics, Perinatology and Child Health 66
  • Developmental Neuroscience 11
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Citations per year

Countries citing papers authored by Peter Thompson

Since Specialization
Citations

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

Fields of papers citing papers by Peter Thompson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Peter Thompson, 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 Peter Thompson Line = papers co-authored together Peter Thompson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001102
2 200462
3 200661
4 200955
5 199548
6 200141
7 200638
8 200534
9 199624
10
A Contribution to the Empirics of Endogenous Growth
199623
11 198721
12 199912
13 198710
14 198510
15 20179
16 20108
17 20168
18 19907
19 20206
20 20066

About Peter Thompson

Peter Thompson is a scholar working on Computer Networks and Communications, Genetics, Economics and Econometrics, Molecular Biology and Plant Science, having authored 41 papers that have together received 643 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (8 papers), Chromosomal and Genetic Variations (6 papers), Network Traffic and Congestion Control (6 papers), Fiscal Policy and Economic Growth (4 papers), Economic Growth and Productivity (4 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers), Software System Performance and Reliability (3 papers) and Software-Defined Networks and 5G (3 papers). The work is most often cited by research in Genetics (248 citations), Hepatology (36 citations), Neurology (66 citations), Pediatrics, Perinatology and Child Health (66 citations) and Developmental Neuroscience (11 citations). Peter Thompson has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Elias Dinopoulos, Meena Upadhyaya, Ian M. Frayling, S. W. Griffiths, Susan Roberts, Elena A. Prikhod’ko, Richard M. Siegel, Marian Major, Jeffrey I. Cohen and Helen J. Eyre. Their work appears in journals such as British Journal of Anaesthesia, Human Genetics, SAE technical papers on CD-ROM/SAE technical paper series, The Journal of Environment & Development and Management Science.

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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