Daniel Gliddon

597 citations
13 papers · 478 · h-index 10

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immunotoxicology and immune responses
    • Biosimilars and Bioanalytical Methods
    • Immune Response and Inflammation
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Immunotherapy and Immune Responses 3
    • Immunotoxicology and immune responses 1
    • T-cell and B-cell Immunology 1
    • Cancer Immunotherapy and Biomarkers 4
    • Chemokine receptors and signaling 1

Daniel Gliddon

13 papers receiving 451 citations

Peers

Daniel Gliddon
Comparison fields: 5 of 51
  • Immunology 173
  • Oncology 174
  • Small Animals 41
  • Immunology and Allergy 14
  • Radiology, Nuclear Medicine and Imaging 61
Replace Nobuo Koyama with:
Nobuo Koyama Japan
Nobutaka YASUDA Japan
Koichi Kubota Japan
Ann R. Stuart United States
Kay Ab United Kingdom
Hanna Müller Germany
Alessandra Sabbatini Italy
C.U. Brand Switzerland
T. Kato Japan
Bernard E. Souberbielle United Kingdom
Daniel Gliddon relative to Nobuo Koyama Japan Nobuo Koyama's profile →
Citations per field
00.5×20×40×61×
Nobuo Koyama · 1×
Citations per year

Countries citing papers authored by Daniel Gliddon

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Gliddon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 202097
2 201463
3 200462
4 202057
5 202245
6 200242
7 201638
8 201330
9 201616
10 200214
11 20178
12 20114
13 20202

About Daniel Gliddon

Daniel Gliddon is a scholar working on Immunology, Oncology, Immunology and Allergy, Radiology, Nuclear Medicine and Imaging and Small Animals, having authored 13 papers that have together received 478 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (4 papers), Immunotherapy and Immune Responses (3 papers), Allergic Rhinitis and Sensitization (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Immunotoxicology and immune responses (1 paper), Inhalation and Respiratory Drug Delivery (1 paper), T-cell and B-cell Immunology (1 paper) and Chemokine receptors and signaling (1 paper). The work is most often cited by research in Immunology (173 citations), Oncology (174 citations), Small Animals (41 citations), Immunology and Allergy (14 citations) and Radiology, Nuclear Medicine and Imaging (61 citations). Daniel Gliddon has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Jayne C. Hope, Neil Brewis, Sarah Batey, Alexander Koers, Mary McElroy, Sally Robinson, Simon Chivers, Neil Spooner, Kathryn L. Chapman and Mustapha Faroudi. Their work appears in journals such as Clinical Cancer Research, European Journal of Immunology, Bioanalysis, Immunology and Inhalation Toxicology.

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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