Peter Harding

32 papers receiving 1.6k citations

Peter Harding's Hit Papers

GWAS and meta-analysis identifies 49 genetic variants underlying critical COVID-19 2023 · 121 citations
1210+1+3Years since publication200400600

Peers

Peter Harding
Comparison fields: 5 of 138
  • Infectious Diseases 496
  • Immunology 258
  • Neurology 135
  • Molecular Biology 527
  • Genetics 189
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Ilaria My Germany
Jessie Huang United States
Barbara L. Kroner United States
Daniel J. Kim United States
Anil Shankar Menon India
Christine Nardini Italy
Irina Tikhonova United States
Malte Kühnemund Sweden
Deepak Subramanian United Kingdom
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Countries citing papers authored by Peter Harding

Since Specialization
Citations

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

Fields of papers citing papers by Peter Harding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mapping the human genetic architecture of COVID-19
Hit paper breakdown →
2021641
2
Whole-genome sequencing reveals host factors underlying critical COVID-19
Hit paper breakdown →
2022228
3
GWAS and meta-analysis identifies 49 genetic variants underlying critical COVID-19
Hit paper breakdown →
2023121
4 201264
5 200662
6 200959
7 202356
8 199939
9 201635
10 200635
11 200634
12 201632
13 200726
14 200824
15 202124
16 201522
17 201722
18 202016
19 201615
20 200914

About Peter Harding

Peter Harding is a scholar working on Cellular and Molecular Neuroscience, Neurology, Infectious Diseases, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 32 papers that have together received 1.6k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), Muscle activation and electromyography studies (4 papers), Receptor Mechanisms and Signaling (4 papers), Neuropeptides and Animal Physiology (4 papers), COVID-19 Clinical Research Studies (3 papers), Evacuation and Crowd Dynamics (3 papers), interferon and immune responses (3 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Infectious Diseases (496 citations), Immunology (258 citations), Neurology (135 citations), Molecular Biology (527 citations) and Genetics (189 citations). Peter Harding has collaborated with scholars based in United Kingdom, Germany and Australia. Frequent co-authors include Anthony Gordon Watts, Ian D. Loram, Helen Attrill, Ryan J. Cunningham, Reza Hoseinnezhad, Simon Ross, Joanne Oates, Emma F. Hodson-Tole, G. Fischer and Holly Kramer. Their work appears in journals such as Nature, Ultrasound in Medicine & Biology, Human Genetics, International Journal of Legal Medicine and Basic Research in Cardiology.

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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