Aeron C. Hurt

12.5k citations
136 papers · 6.1k indexed · 1 hit paper · h-index 44

Aeron C. Hurt

134 papers receiving 6.0k citations

Hit Papers

Substitutions Near the Receptor Binding Site Determine Ma...4332013202620172021100200300400

Peers

Aeron C. Hurt
Comparison fields: 5 of 130
  • Epidemiology 4.9k
  • Agronomy and Crop Science 1.0k
  • Infectious Diseases 1.7k
  • Immunology 1.1k
  • Modeling and Simulation 233
Replace Yuelong Shu with:
Yuelong Shu China
Maki Kiso Japan
Xiyan Xu United States
Darwyn Kobasa Canada
David E. Wentworth United States
Larisa V. Gubareva United States
Elena A. Govorkova United States
Rick A. Bright United States
Iain Stephenson United Kingdom
John Oxford United Kingdom
Aeron C. Hurt relative to Yuelong Shu China Yuelong Shu's profile →
Citations per field
00.5×3.2×
Yuelong Shu · 1×
Citations per year

Countries citing papers authored by Aeron C. Hurt

Since Specialization
Citations

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

Fields of papers citing papers by Aeron C. Hurt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aeron C. Hurt. 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 Aeron C. Hurt. The network helps show where Aeron C. Hurt may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202048
2 202022
3 20201
4 201953
5 201911
6 201813
7 201740
8 201740
9 201426
10
Substitutions Near the Receptor Binding Site Determine Major Antigenic Change During Influenza Virus Evolutionbreakdown →
2013433
11 201320
12 201317
13 201224
14 201092
15 201058
16 201068
17 2009106
18 200930
19 200856
20 200718

About Aeron C. Hurt

Aeron C. Hurt is a scholar working on Epidemiology, Agronomy and Crop Science and Infectious Diseases, having authored 136 papers that have together received 6.1k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (123 papers), Respiratory viral infections research (87 papers), Animal Disease Management and Epidemiology (34 papers), Viral gastroenteritis research and epidemiology (20 papers), Viral Infections and Vectors (18 papers), Immune Response and Inflammation (12 papers), COVID-19 epidemiological studies (8 papers) and Immune Cell Function and Interaction (8 papers). The work is most often cited by research in Epidemiology (4.9k citations), Agronomy and Crop Science (1.0k citations) and Infectious Diseases (1.7k citations). Aeron C. Hurt has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Ian Barr, Anne Kelso, Jessica K. Holien, Naomi Komadina, Ding Yuan Oh, Danielle Tilmanis, Michael W. Parker, Yi‐Mo Deng, Edward C. Holmes and Alan Hampson. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

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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