Daniel S. Lyons

2.7k citations
11 papers · 2.3k · 1 hit paper · h-index 10

Impact in

  • Immunology top 1%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • Monoclonal and Polyclonal Antibodies Research

Papers in

Daniel S. Lyons

11 papers receiving 2.2k citations

Daniel S. Lyons's Hit Papers

LIGAND RECOGNITION BY αβ T CELL RECEPTORS 1998 · 768 citations
7680+9+18Years since publication250500750

Peers

Daniel S. Lyons
Comparison fields: 5 of 71
  • Immunology 2.0k
  • Radiology, Nuclear Medicine and Imaging 518
  • Oncology 402
  • Immunology and Allergy 72
  • Virology 51
Replace Takachika Azuma with:
Takachika Azuma Japan
Barbara L. Rellahan United States
Theodore J. Tsomides United States
Michel Buferne France
Shinji Ikemizu United Kingdom
Craig S. Clements Australia
P. Noguchi United States
Janet A. Fennelly United Kingdom
Mary A. Markiewicz United States
Jonathan M. Boulter United Kingdom
Daniel S. Lyons relative to Takachika Azuma Japan Takachika Azuma's profile →
Citations per field
00.5×1.5×2.0×
Takachika Azuma · 1×
Citations per year

Countries citing papers authored by Daniel S. Lyons

Since Specialization
Citations

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

Fields of papers citing papers by Daniel S. Lyons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
LIGAND RECOGNITION BY αβ T CELL RECEPTORS
Hit paper breakdown →
1998768
2 1996372
3 1996228
4 2002223
5 1997204
6
LIGAND RECOGNITION BY T CELL RECEPTORS
1998182
7 1999149
8 199755
9 199651
10 199540
11 20074

About Daniel S. Lyons

Daniel S. Lyons is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Cell Biology and Physiology, having authored 11 papers that have together received 2.3k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (8 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (5 papers), Immune Response and Inflammation (1 paper), Hemoglobin structure and function (1 paper), Lipid Membrane Structure and Behavior (1 paper) and Protein Structure and Dynamics (1 paper). The work is most often cited by research in Immunology (2.0k citations), Radiology, Nuclear Medicine and Imaging (518 citations), Oncology (402 citations), Immunology and Allergy (72 citations) and Virology (51 citations). Daniel S. Lyons has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Mark M. Davis, J. Jay Boniface, Ziv Reich, Johannes Hampl, Yueh‐hsiu Chien, Bernhard Arden, Leslie J. Berg, H M McConnell, Joshua D. Rabinowitz and Craig Beeson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature, Proteins Structure Function and Bioinformatics, Immunity and The Journal of Experimental Medicine.

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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