Daniel Layton

917 citations
37 papers · 622 · h-index 14

Impact in

  • Genetics top 10%
    • Mesenchymal stem cell research
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction

Papers in

    • Immune Cell Function and Interaction 5
    • T-cell and B-cell Immunology 4
    • Influenza Virus Research Studies 8
    • Respiratory viral infections research 3

Daniel Layton

37 papers receiving 605 citations

Peers

Daniel Layton
Comparison fields: 5 of 101
  • Genetics 94
  • Immunology 125
  • Developmental Neuroscience 22
  • Agronomy and Crop Science 46
  • Infectious Diseases 76
Replace Xingshen Sun with:
Xingshen Sun United States
Don A. Baldwin United States
Solomon O. Odemuyiwa United States
Ranjeet Singh Mahla India
Sadegh Shirian Iran
Yang Zeng China
Isabel Piazzón Argentina
Irene Nepomnaschy Argentina
Troy D. Jaskowski United States
Donald C. Miller United States
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Citations per field
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Xingshen Sun · 1×
Citations per year

Countries citing papers authored by Daniel Layton

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Layton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200895
2 201376
3 201752
4 201834
5 202234
6 201731
7 201928
8 200825
9 201322
10 200719
11 202419
12 201618
13 202315
14 200614
15 201313
16 202213
17 201813
18 201212
19 200810
20 20239

About Daniel Layton

Daniel Layton is a scholar working on Immunology, Epidemiology, Infectious Diseases, Molecular Biology and Agronomy and Crop Science, having authored 37 papers that have together received 622 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (8 papers), Animal Disease Management and Epidemiology (6 papers), Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers), Viral gastroenteritis research and epidemiology (4 papers), Viral Infections and Vectors (4 papers), Hematopoietic Stem Cell Transplantation (3 papers) and Respiratory viral infections research (3 papers). The work is most often cited by research in Genetics (94 citations), Immunology (125 citations), Developmental Neuroscience (22 citations), Agronomy and Crop Science (46 citations) and Infectious Diseases (76 citations). Daniel Layton has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Richard L. Boyd, Andrew G. D. Bean, Ann P. Chidgey, Claude C.A. Bernard, Adam K. Wheatley, Katherine Kedzierska, Thi H. O. Nguyen, Stephen J. Kent, Julius Wong and Courtney McDonald. Their work appears in journals such as Frontiers in Immunology, Vaccine, Journal of Virology, Experimental Hematology and American Journal of Transplantation.

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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