Daniel Layton

873 citations
42 papers · 696 · h-index 15

Impact in

Papers in

    • T-cell and B-cell Immunology 7
    • interferon and immune responses 2
    • Animal Behavior and Welfare Studies 3

Daniel Layton

37 papers receiving 674 citations

Peers

Daniel Layton
Comparison fields: 5 of 86
  • Genetics 80
  • Immunology 97
  • Epidemiology 119
  • Infectious Diseases 65
  • Small Animals 23
Replace Christian Timmann with:
Christian Timmann Germany
Henri C. van der Heyde United States
Judith Krey Ludviksen Norway
Alessandro Sinigaglia Italy
Alexis Bossie United States
Jayden Logan Australia
Megan Hughes United States
Julie Katrine Lindstad Norway
Dongzhu Ma United States
Ethan D. Stolzenberg United States
Daniel Layton relative to Christian Timmann Germany Christian Timmann's profile →
Citations per field
00.5×2×4×5.8×
Christian Timmann · 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 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200896
2 201375
3 201755
4 202241
5 202139
6 201836
7 201735
8 201930
9 200825
10 201323
11 200721
12 202320
13 201618
14 201616
15 200615
16 202214
17 202414
18 201213
19 201313
20 201813

About Daniel Layton

Daniel Layton is a scholar working on Immunology, Small Animals, Epidemiology, Hematology and Infectious Diseases, having authored 42 papers that have together received 696 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Influenza Virus Research Studies (7 papers), Hematopoietic Stem Cell Transplantation (3 papers), Animal Genetics and Reproduction (3 papers), Animal Behavior and Welfare Studies (3 papers), Acute Kidney Injury Research (2 papers), interferon and immune responses (2 papers) and Metal-Organic Frameworks: Synthesis and Applications (2 papers). The work is most often cited by research in Genetics (80 citations), Immunology (97 citations), Epidemiology (119 citations), Infectious Diseases (65 citations) and Small Animals (23 citations). Daniel Layton has collaborated with scholars based in Australia, China and Spain. Frequent co-authors include Andrew G. D. Bean, Richard L. Boyd, Ann P. Chidgey, Alan O. Trounson, Claude C.A. Bernard, Katherine Kedzierska, Adam K. Wheatley, Stephen John Kent, Thi H. O. Nguyen and Christopher Siatskas. Their work appears in journals such as Frontiers in Immunology, Animals, Vaccine, PLoS ONE and Acta Biomaterialia.

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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