Jake Scott

1.8k citations
15 papers · 366 · h-index 10

Impact in

Papers in

    • COVID-19 Clinical Research Studies 3
    • HIV/AIDS drug development and treatment 2
    • SARS-CoV-2 and COVID-19 Research 2
    • Immune Cell Function and Interaction 3
    • T-cell and B-cell Immunology 2

Jake Scott

15 papers receiving 363 citations

Peers

Jake Scott
Comparison fields: 5 of 63
  • Obstetrics and Gynecology 65
  • Immunology 136
  • Infectious Diseases 110
  • Reproductive Medicine 28
  • Modeling and Simulation 14
Replace Laura Mazzuti with:
Laura Mazzuti Italy
Luigi Atripaldi Italy
Nikolaos Spanakis Greece
Adrienne Cheung Canada
Vo Van Ban Vietnam
Tran Quy Vietnam
Aristotelis Tsiakalos Greece
Juanita Mellet South Africa
Douglas Fink United Kingdom
Michele Gangemi Italy
Jake Scott relative to Laura Mazzuti Italy Laura Mazzuti's profile →
Citations per field
00.5×
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Citations per year

Countries citing papers authored by Jake Scott

Since Specialization
Citations

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

Fields of papers citing papers by Jake Scott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2013112
2 202066
3 202034
4 202327
5 202426
6 202125
7 201615
8 202214
9 202013
10 202210
11 20228
12 20207
13 20235
14 20162
15 20242

About Jake Scott

Jake Scott is a scholar working on Infectious Diseases, Immunology, Epidemiology, Oncology and Public Health, Environmental and Occupational Health, having authored 15 papers that have together received 366 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (3 papers), Immune Cell Function and Interaction (3 papers), Streptococcal Infections and Treatments (2 papers), T-cell and B-cell Immunology (2 papers), HIV/AIDS drug development and treatment (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Long-Term Effects of COVID-19 (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Obstetrics and Gynecology (65 citations), Immunology (136 citations), Infectious Diseases (110 citations), Reproductive Medicine (28 citations) and Modeling and Simulation (14 citations). Jake Scott has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Müge Çevik, Aaron Richterman, Alicia Bárcena, Susan J. Fisher, Matthew Gormley, Mirhan Kapidzic, Haley Stolp, Lewis L. Lanier, Michael McMaster and David B. Rosen. Their work appears in journals such as Clinical Microbiology and Infection, Emerging infectious diseases, Journal for ImmunoTherapy of Cancer, Clinics in Geriatric Medicine and Therapeutic Advances in Infectious Disease.

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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