Caroline J. Warren

436 total citations
18 papers, 252 citations indexed

About

Caroline J. Warren is a scholar working on Epidemiology, Infectious Diseases and Agronomy and Crop Science. According to data from OpenAlex, Caroline J. Warren has authored 18 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 10 papers in Infectious Diseases and 9 papers in Agronomy and Crop Science. Recurrent topics in Caroline J. Warren's work include Influenza Virus Research Studies (11 papers), Animal Disease Management and Epidemiology (9 papers) and Viral Infections and Vectors (5 papers). Caroline J. Warren is often cited by papers focused on Influenza Virus Research Studies (11 papers), Animal Disease Management and Epidemiology (9 papers) and Viral Infections and Vectors (5 papers). Caroline J. Warren collaborates with scholars based in United Kingdom, Denmark and Netherlands. Caroline J. Warren's co-authors include Ian H. Brown, Joe James, Sharon M. Brookes, Marek J. Slomka, Ashley C. Banyard, Alexander M. P. Byrne, Alejandro Núñez, Saumya S. Thomas, Samantha Watson and M I Cawley and has published in prestigious journals such as Virology, Journal of General Virology and Vaccine.

In The Last Decade

Caroline J. Warren

18 papers receiving 249 citations

Peers

Caroline J. Warren
Comparison fields: 5 of 50
  • Infectious Diseases 158
  • Epidemiology 130
  • Agronomy and Crop Science 86
  • Immunology 30
  • Animal Science and Zoology 23
Replace Chuansong Quan with:
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Seung‐Gyu Jang South Korea
Everlyn Kamau United Kingdom
Nazia Thakur United Kingdom
Muneeswaran Selvaraj United Kingdom
Shu‐Chun Chiu Taiwan
Thomas Wilton United Kingdom
Mohammad Rezaei Zadeh Rukerd Iran
Chuansong Quan China View profile →
Citations per field, relative to Caroline J. Warren
Caroline J. Warren · 1×
Citations per year, relative to Caroline J. Warren
Caroline J. Warren · 1×

Countries citing papers authored by Caroline J. Warren

Since Specialization
Citations

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

Fields of papers citing papers by Caroline J. Warren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caroline J. Warren. 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 Caroline J. Warren. The network helps show where Caroline J. Warren may publish in the future.

Co-authorship network of co-authors of Caroline J. Warren

This figure shows the co-authorship network connecting the top 25 collaborators of Caroline J. Warren. A scholar is included among the top collaborators of Caroline J. Warren based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Caroline J. Warren. Caroline J. Warren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 1
2 2
3 2
4 20
5 10
6 4
7 9
8 4
9 14
10 20
11 15
12 21
13 53
14 26
15 1
16 20
17
An investigation of T-cell subset phenotype and function in the rheumatoid synovium using in situ hybridization for IL-2 mRNA.
16
18 14

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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