Lee Hood

1.5k citations
19 papers · 727 · h-index 14

Impact in

    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Bioinformatics and Genomic Networks
    • Gene expression and cancer classification
    • Advanced biosensing and bioanalysis techniques
    • Gene Regulatory Network Analysis

Papers in

Lee Hood

19 papers receiving 708 citations

Peers

Lee Hood
Comparison fields: 5 of 104
  • Immunology 134
  • Molecular Biology 395
  • Genetics 114
  • Reproductive Medicine 19
  • Spectroscopy 41
Replace Terrence F. Meehan with:
Terrence F. Meehan United States
Per Oksvold Sweden
Kalliopi Tsafou Denmark
Anita Palma Italy
Moshe C. Silverstein United States
Reidun Kopperud Norway
Zhao Yang China
Simon Lennard United Kingdom
Miguel Carmona United Kingdom
Demis A. Kia United Kingdom
Lee Hood relative to Terrence F. Meehan United States Terrence F. Meehan's profile →
Citations per field
00.5×3.8×
Terrence F. Meehan · 1×
Citations per year

Countries citing papers authored by Lee Hood

Since Specialization
Citations

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

Fields of papers citing papers by Lee Hood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2010131
2 199173
3 200471
4 199255
5 200149
6 200846
7 201444
8 198742
9
Bayesian Classification of DNA Array Expression Data
200042
10 200240
11 200536
12 200032
13 200322
14 200715
15 201111
16 20068
17 20175
18 20194
19 20091

About Lee Hood

Lee Hood is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Genetics, Immunology and Public Health, Environmental and Occupational Health, having authored 19 papers that have together received 727 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Prostate Cancer Diagnosis and Treatment (3 papers), Gene expression and cancer classification (2 papers), Health and Medical Research Impacts (2 papers), Advanced Biosensing Techniques and Applications (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Immune Cell Function and Interaction (2 papers) and Prostate Cancer Treatment and Research (2 papers). The work is most often cited by research in Immunology (134 citations), Molecular Biology (395 citations), Genetics (114 citations), Reproductive Medicine (19 citations) and Spectroscopy (41 citations). Lee Hood has collaborated with scholars based in United States, Russia and Belgium. Frequent co-authors include David J. Galas, Rudi Balling, Antonio del Sol, Lee Rowen, Andrew Keller, Michael G. Harrington, Wei Wu, Walter L. Ruzzo, Fei Chen and Ellen V. Rothenberg. Their work appears in journals such as Biochemical and Biophysical Research Communications, The Prostate, Research-Technology Management, Human Genetics and Genome biology.

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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