Dale J. Hamilton

3.3k citations
64 papers · 2.4k indexed · 1 hit paper · h-index 22
Topics
Cardiovascular Function and Risk Factors (9 papers)Pancreatic function and diabetes (9 papers)Mitochondrial Function and Pathology (7 papers)
Partner nations
United StatesChinaMexico

In The Last Decade

Dale J. Hamilton

62 papers receiving 2.4k citations

Hit Papers

Cholesterol Induces CD8+ T Cell Exhaustion in the Tumor M...20192026202120232019200400600

Peers

Dale J. Hamilton
Comparison fields: 5 of 110
  • Molecular Biology 779
  • Immunology 577
  • Epidemiology 423
  • Cardiology and Cardiovascular Medicine 421
  • Surgery 412
Replace Franck Peiretti with:
Franck Peiretti France
Ingeborg Hers United Kingdom
Steven J. Adelman United States
Masatoshi Kusuhara Japan
Zhi Yang China
Jonathan D. Brown United States
Laurent O. Martinez France
Xiaoxiang Yan China
Fina Lovren Canada
Keishi Miyata Japan
Dale J. Hamilton relative to Franck Peiretti France Franck Peiretti's profile →
Citations per field
00.5×3.7×
Franck Peiretti · 1×
Citations per year

Countries citing papers authored by Dale J. Hamilton

Since Specialization
Citations

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

Fields of papers citing papers by Dale J. Hamilton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dale J. Hamilton

This figure shows the co-authorship network connecting the top 25 collaborators of Dale J. Hamilton. A scholar is included among the top collaborators of Dale J. Hamilton 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 Dale J. Hamilton. Dale J. Hamilton 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
#WorkIndexed citations
1 0
2 8
3 12
4 10
5 10
6 49
7 15
8
Cholesterol Induces CD8+ T Cell Exhaustion in the Tumor Microenvironmentbreakdown →
697
9 13
10 9
11 45
12 99
13 16
14 0
15 74
16 67
17 305
18 5
19 34
20 50

About Dale J. Hamilton

Dale J. Hamilton is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Aging, having authored 64 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (9 papers), Pancreatic function and diabetes (9 papers) and Mitochondrial Function and Pathology (7 papers). The work is most often cited by research in Immunology (577 citations), Cancer Research (405 citations) and Cardiology and Cardiovascular Medicine (421 citations). Dale J. Hamilton has collaborated with scholars based in United States, China and Mexico. Frequent co-authors include Anisha A. Gupte, Aijun Zhang, Tuo Deng, Henry J. Pownall, Matthew F. Kalady, Maojie Yang, Su Pan, Yong Lu, Qing Yi and Jianfei Qian. Their work appears in journals such as New England Journal of Medicine, Journal of Biological Chemistry and Angewandte Chemie International Edition.

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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