Daniel W. Beury

2.3k citations
11 papers · 1.8k · h-index 9

Impact in

  • Immunology top 2%
    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • Tryptophan and brain disorders

Papers in

    • Immune cells in cancer 8
    • Immunotherapy and Immune Responses 2
    • Immune Cell Function and Interaction 2
    • Immune Response and Inflammation 2
    • Inflammatory Biomarkers in Disease Prognosis 2

Daniel W. Beury

11 papers receiving 1.8k citations

Peers

Daniel W. Beury
Comparison fields: 5 of 91
  • Immunology 1.2k
  • Biological Psychiatry 125
  • Oncology 784
  • Cancer Research 184
  • Neurology 75
Replace Catalina Lee-Chang with:
Catalina Lee-Chang United States
Fabien Franco Switzerland
Cihui Yan China
Aida Rashidi United States
Mauricio S. Caetano United States
Melanie Mediavilla-Varela United States
Dorota Wyczechowska United States
Karl Köchert Germany
Ryan D. Whetstone United States
Diana J. Azzam United States
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Citations per field
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Catalina Lee-Chang · 1×
Citations per year

Countries citing papers authored by Daniel W. Beury

Since Specialization
Citations

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

Fields of papers citing papers by Daniel W. Beury

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2012476
2 2015421
3 2012262
4 2017192
5 2014160
6 2021149
7 201694
8 201954
9 202024
10 20211
11 20211

About Daniel W. Beury

Daniel W. Beury is a scholar working on Immunology, Oncology, Molecular Biology, Biological Psychiatry and Complementary and alternative medicine, having authored 11 papers that have together received 1.8k indexed citations. Recurring topics across this work include Immune cells in cancer (8 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Immunotherapy and Immune Responses (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers), Immune Cell Function and Interaction (2 papers), Immune Response and Inflammation (2 papers), Mangiferin and Mango Extracts (1 paper) and Renal and related cancers (1 paper). The work is most often cited by research in Immunology (1.2k citations), Biological Psychiatry (125 citations), Oncology (784 citations), Cancer Research (184 citations) and Neurology (75 citations). Daniel W. Beury has collaborated with scholars based in United States. Frequent co-authors include Suzanne Ostrand‐Rosenberg, Katherine H. Parker, Pratima Sinha, Virginia K. Clements, Kayla A. Carter, Rosandra N. Kaplan, Sabina Kaczanowska, Wei Ju, Meera Murgai and Jessica Kline. Their work appears in journals such as The Journal of Immunology, Nature Medicine, Clinical Cancer Research, Journal of Leukocyte Biology and Advances in cancer research.

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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