Chris Holmes

2.5k citations
31 papers · 1.7k · 2 hit papers · h-index 16

Impact in

Papers in

Chris Holmes

30 papers receiving 1.6k citations

Chris Holmes's Hit Papers

COVID-19 vaccine coverage in health-care workers in England and effectiveness of BNT162b2 mRNA vaccine against infection (SIREN): a prospective, multicentre, cohort study 2021 · 577 citations
5770+1+3Years since publication100200300400500

Peers

Chris Holmes
Comparison fields: 5 of 128
  • Infectious Diseases 765
  • Modeling and Simulation 194
  • Health 260
  • Health Informatics 22
  • Hematology 82
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Citations per year

Countries citing papers authored by Chris Holmes

Since Specialization
Citations

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

Fields of papers citing papers by Chris Holmes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
COVID-19 vaccine coverage in health-care workers in England and effectiveness of BNT162b2 mRNA vaccine against infection (SIREN): a prospective, multicentre, cohort study
Hit paper breakdown →
2021577
2
SARS-CoV-2 infection rates of antibody-positive compared with antibody-negative health-care workers in England: a large, multicentre, prospective cohort study (SIREN)
Hit paper breakdown →
2021443
3 198893
4 202086
5 198979
6 197961
7 201845
8 197840
9 197534
10 199532
11 202326
12 199325
13 197722
14 201520
15 197817
16 202316
17 202410
18 19949
19 20196
20 20245

About Chris Holmes

Chris Holmes is a scholar working on Anesthesiology and Pain Medicine, Internal Medicine, Physiology, Genetics and Surgery, having authored 31 papers that have together received 1.7k indexed citations. Recurring topics across this work include Airway Management and Intubation Techniques (3 papers), Lipid Membrane Structure and Behavior (2 papers), Neurobiology and Insect Physiology Research (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Neonatal Respiratory Health Research (2 papers), Computational Drug Discovery Methods (2 papers), Venous Thromboembolism Diagnosis and Management (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Infectious Diseases (765 citations), Modeling and Simulation (194 citations), Health (260 citations), Health Informatics (22 citations) and Hematology (82 citations). Chris Holmes has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include William M. Thurlbeck, Michael Balls, Minna Tanner, Gil Martín, S.D. Wainwright, Umberto Benedetto, Arnaldo Dimagli, Shubhra Sinha, Tom R. Gaunt and Gianni D. Angelini. Their work appears in journals such as The Lancet, Biochemical Journal, Pediatric Anesthesia, General and Comparative Endocrinology and Human Mutation.

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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