Nathan Post

1.9k citations
12 papers · 849 · 1 hit paper · h-index 7

Impact in

Papers in

Nathan Post

11 papers receiving 838 citations

Nathan Post's Hit Papers

T cell response to SARS-CoV-2 infection in humans: A systematic review 2021 · 258 citations
2580+1+3Years since publication50100150200250

Peers

Nathan Post
Comparison fields: 5 of 87
  • Infectious Diseases 455
  • Modeling and Simulation 51
  • Obstetrics and Gynecology 35
  • Health 34
  • Emergency Medical Services 28
Replace Yangyang Deng with:
Yangyang Deng United States
Jienchi Dorward South Africa
Susan Ahern Ireland
Kai‐Qian Kam Singapore
Davide Mangioni Italy
SagarC Galwankar United States
Meaghan Kall United Kingdom
Waasila Jassat South Africa
Diana Turner United States
Parth Patel United Kingdom
Nathan Post relative to Yangyang Deng United States Yangyang Deng's profile →
Citations per field
00.5×
Yangyang Deng · 1×
Citations per year

Countries citing papers authored by Nathan Post

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Post

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1
T cell response to SARS-CoV-2 infection in humans: A systematic review
Hit paper breakdown →
2021258
2 2020234
3 2017186
4 202079
5 201556
6 201611
7
An evidence review of research on health interventions in humanitarian crises. Update October 2015
20159
8 20205
9 20245
10 20204
11 20142
12 20250

About Nathan Post

Nathan Post is a scholar working on Infectious Diseases, General Health Professions, Civil and Structural Engineering, Neurology and Pediatrics, Perinatology and Child Health, having authored 12 papers that have together received 849 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (3 papers), Health and Conflict Studies (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), SARS-CoV-2 detection and testing (2 papers), Long-Term Effects of COVID-19 (1 paper), Migration, Health and Trauma (1 paper), Global Maternal and Child Health (1 paper) and COVID-19 and healthcare impacts (1 paper). The work is most often cited by research in Infectious Diseases (455 citations), Modeling and Simulation (51 citations), Obstetrics and Gynecology (35 citations), Health (34 citations) and Emergency Medical Services (28 citations). Nathan Post has collaborated with scholars based in United Kingdom, United States and Uganda. Frequent co-authors include Madhumita Shrotri, Sharif Ismail, Catherine Huntley, Samuel Rigby, Sharon J. Peacock, Sarah Williams, Adrian Shields, Danielle Eddy, Paul Kellam and David Leeman. Their work appears in journals such as PLoS ONE, Influenza and Other Respiratory Viruses, Health Research Policy and Systems, The Lancet and BMJ Open.

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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