David J. Fear

2.9k total citations · 1 hit paper
32 papers, 1.7k citations indexed

About

David J. Fear is a scholar working on Immunology, Immunology and Allergy and Molecular Biology. According to data from OpenAlex, David J. Fear has authored 32 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Immunology, 6 papers in Immunology and Allergy and 5 papers in Molecular Biology. Recurrent topics in David J. Fear's work include T-cell and B-cell Immunology (13 papers), Immune Cell Function and Interaction (11 papers) and Immunotherapy and Immune Responses (5 papers). David J. Fear is often cited by papers focused on T-cell and B-cell Immunology (13 papers), Immune Cell Function and Interaction (11 papers) and Immunotherapy and Immune Responses (5 papers). David J. Fear collaborates with scholars based in United Kingdom, United States and India. David J. Fear's co-authors include Hannah J. Gould, Natalie McCloskey, Heather Coker, Lyn Smurthwaite, Brian J. Sutton, Rebecca L. Beavil, Andrew J. Beavil, Stephen R. Durham, G. Banfield and Pooja Takhar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

David J. Fear

31 papers receiving 1.7k citations

Hit Papers

The Biology of IgE and the Basis of Allergic Disease 2003 2026 2010 2018 2003 100 200 300 400 500

Peers

David J. Fear
Comparison fields: 5 of 114
  • Immunology 707
  • Physiology 543
  • Immunology and Allergy 508
  • Molecular Biology 347
  • Radiology, Nuclear Medicine and Imaging 228
Replace Giuseppe Spadaro with:
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Lisa Rinaldi United States
A. Kagey-Sobotka United States
Yoji Iíkura Japan
Nora A. Barrett United States
Deepti R. Nagarkar United States
Umut Can Küçüksezer Türkiye
R. Carlsson Sweden
H.F.J. Savelkoul Netherlands
Chung‐Yi Hu Taiwan
Giuseppe Spadaro Italy View profile →
Citations per field, relative to David J. Fear
David J. Fear · 1×
Citations per year, relative to David J. Fear
David J. Fear · 1×

Countries citing papers authored by David J. Fear

Since Specialization
Citations

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

Fields of papers citing papers by David J. Fear

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David J. Fear

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Fear. A scholar is included among the top collaborators of David J. Fear 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 David J. Fear. David J. Fear is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 4
2 9
3 6
4 67
5 0
6 12
7 10
8 83
9 14
10 8
11 58
12 9
13
Characterization of antibody responses in malignant melanoma
1
14 106
15 74
16 63
17 45
18 173
19 111
20 21

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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