Daniel W. Beury

2.2k citations
10 papers · 1.8k indexed · 1 hit paper · 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

Daniel W. Beury

10 papers receiving 1.8k citations

Hit Papers

Myeloid-Derived Suppressor Cells 2015 · 415 citations
4152015202620182022100200300400

Peers

Daniel W. Beury
Comparison fields: 5 of 94
  • Immunology 1.2k
  • Biological Psychiatry 127
  • Oncology 853
  • Cancer Research 199
  • Neurology 80
Replace Catalina Lee-Chang with:
Catalina Lee-Chang United States
Pravin Kesarwani United States
Cihui Yan China
Mauricio S. Caetano United States
Fabien Franco Switzerland
Aida Rashidi United States
Inès Chevolet Belgium
Dorota Wyczechowska United States
Melanie Mediavilla-Varela United States
Fokhrul Hossain United States
Daniel W. Beury relative to Catalina Lee-Chang United States Catalina Lee-Chang's profile →
Citations per field
00.5×3.5×
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-authorship network

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

10 of 10 papers shown
#Work
1 2021144
2 20211
3 202021
4 201952
5 2017185
6 201694
7
Myeloid-Derived Suppressor Cells
Hit paper breakdown →
2015415
8 2014159
9 2012260
10 2012472

About Daniel W. Beury

Daniel W. Beury is a scholar working on Immunology, Biological Psychiatry, Neurology, Oncology and Complementary and alternative medicine, having authored 10 papers that have together received 1.8k indexed citations. Recurring topics across this work include Immune cells in cancer (8 papers), Genomics, phytochemicals, and oxidative stress (2 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Immune Response and Inflammation (2 papers), Immune Cell Function and Interaction (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Sarcoma Diagnosis and Treatment (1 paper) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Immunology (1.2k citations), Biological Psychiatry (127 citations), Oncology (853 citations), Cancer Research (199 citations) and Neurology (80 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, Jessica Kline, Wei Ju and Meera Murgai. Their work appears in journals such as Clinical Cancer Research, Nature Medicine, The Journal of Immunology, Journal of Leukocyte Biology and Cancer Immunology Immunotherapy.

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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