Lee Hood

1.5k total citations
19 papers, 724 citations indexed

About

Lee Hood is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Lee Hood has authored 19 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Genetics. Recurrent topics in Lee Hood's work include Prostate Cancer Treatment and Research (4 papers), Genetic Associations and Epidemiology (3 papers) and Prostate Cancer Diagnosis and Treatment (3 papers). Lee Hood is often cited by papers focused on Prostate Cancer Treatment and Research (4 papers), Genetic Associations and Epidemiology (3 papers) and Prostate Cancer Diagnosis and Treatment (3 papers). Lee Hood collaborates with scholars based in United States, Russia and Belgium. Lee Hood's co-authors include David J. Galas, Antonio del Sol, Rudi Balling, Lee Rowen, Andrew Keller, Walter L. Ruzzo, Wei Wu, Michael G. Harrington, Fei Chen and Ellen V. Rothenberg and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Nature Biotechnology.

In The Last Decade

Lee Hood

19 papers receiving 702 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Lee Hood United States	14	406	139	137	63	63	19	724
Stefan Hamann United States	14	405 1.0×	157 1.1×	217 1.6×	81 1.3×	41 0.7×	26	1.1k
Mårten Sundberg Sweden	9	358 0.9×	122 0.9×	47 0.3×	35 0.6×	56 0.9×	13	543
Taibo Li United States	11	451 1.1×	81 0.6×	42 0.3×	58 0.9×	28 0.4×	34	740
Erin Oerton United Kingdom	7	314 0.8×	81 0.6×	114 0.8×	45 0.7×	16 0.3×	8	507
Per Oksvold Sweden	12	804 2.0×	86 0.6×	79 0.6×	50 0.8×	45 0.7×	16	1.1k
Marvin Martens Netherlands	9	443 1.1×	52 0.4×	105 0.8×	73 1.2×	30 0.5×	19	775
John Yew Huat Tang United States	8	381 0.9×	43 0.3×	48 0.4×	50 0.8×	29 0.5×	10	521
Damien Arnol United Kingdom	6	1.1k 2.7×	115 0.8×	109 0.8×	47 0.7×	42 0.7×	6	1.4k
Moshe C. Silverstein United States	6	429 1.1×	73 0.5×	56 0.4×	58 0.9×	23 0.4×	7	637
Britta Velten Germany	10	1.1k 2.7×	128 0.9×	109 0.8×	46 0.7×	34 0.5×	13	1.4k

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-authorship network of co-authors of Lee Hood

This figure shows the co-authorship network connecting the top 25 collaborators of Lee Hood. A scholar is included among the top collaborators of Lee Hood 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 Lee Hood. Lee Hood is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

Hood, Lee. (2019). How Technology, Big Data, and Systems Approaches Are Transforming Medicine. Research-Technology Management. 62(6). 24–30. 4 indexed citations

Hood, Lee. (2017). P4 Medicine and Scientific Wellness: Catalyzing a Revolution in 21st Century Medicine. SHILAP Revista de lepidopterología. 1(2). 132–137. 5 indexed citations

Lopes, Miguel, Burak Kutlu, Michela Miani, et al.. (2014). Temporal profiling of cytokine-induced genes in pancreatic β-cells by meta-analysis and network inference. Genomics. 103(4). 264–275. 44 indexed citations

Hood, Lee. (2011). Lee Hood. Nature Biotechnology. 29(3). 191–191. 11 indexed citations

Sol, Antonio del, Rudi Balling, Lee Hood, & David J. Galas. (2010). Diseases as network perturbations. Current Opinion in Biotechnology. 21(4). 566–571. 130 indexed citations

Hood, Lee. (2009). Systems medicine, transformational technologies and the emergence of predictive, personalized, preventive and participatory (P4) medicine. 1 indexed citations

Hood, Lee. (2008). A Personal Journey of Discovery: Developing Technology and Changing Biology. Annual Review of Analytical Chemistry. 1(1). 1–43. 46 indexed citations

Schaid, Daniel J., Janet L. Stanford, Shannon K. McDonnell, et al.. (2007). Genome-wide linkage scan of prostate cancer Gleason score and confirmation of chromosome 19q. Human Genetics. 121(6). 729–735. 15 indexed citations

Pierce, Brandon L., Danielle M. Karyadi, Laura McIntosh, et al.. (2006). Genomic scan of 12 hereditary prostate cancer families having an occurrence of pancreas cancer. The Prostate. 67(4). 410–415. 8 indexed citations

10.

Stanford, Janet L., Shannon K. McDonnell, Danielle M. Friedrichsen, et al.. (2005). Prostate cancer and genetic susceptibility: A genome scan incorporating disease aggressiveness. The Prostate. 66(3). 317–325. 36 indexed citations

11.

Lausted, Christopher, Timothy Dahl, Kimberly King, et al.. (2004). POSaM: a fast, flexible, open-source, inkjet oligonucleotide synthesizer and microarrayer. Genome biology. 5(8). R58–R58. 70 indexed citations

12.

Conlon, Erin M., Ellen L. Goode, Mark Gibbs, et al.. (2003). Oligogenic segregation analysis of hereditary prostate cancer pedigrees: Evidence for multiple loci affecting age at onset. International Journal of Cancer. 105(5). 630–635. 21 indexed citations

13.

Guo, Zhen, et al.. (2002). Oligonucleotide Arrays for High-Throughput SNPs Detection in the MHC Class I Genes: HLA-B as a Model System. Genome Research. 12(3). 447–457. 40 indexed citations

14.

Chen, Fei, Lee Rowen, Lee Hood, & Ellen V. Rothenberg. (2001). Differential Transcriptional Regulation of Individual TCR Vβ Segments Before Gene Rearrangement. The Journal of Immunology. 166(3). 1771–1780. 49 indexed citations

15.

Rampazzo, Alessandra, Gianluca Occhi, Natascia Tiso, et al.. (2000). Characterization of C14orf4, a Novel Intronless Human Gene Containing a Polyglutamine Repeat, Mapped to the ARVD1 Critical Region. Biochemical and Biophysical Research Communications. 278(3). 766–774. 32 indexed citations

16.

Keller, Andrew, Lee Hood, & Walter L. Ruzzo. (2000). Bayesian Classification of DNA Array Expression Data. 42 indexed citations

17.

Wu, Wei, et al.. (1992). Human cerebrospinal fluid protein database: Edition 1992. Electrophoresis. 13(1). 1002–1013. 55 indexed citations

18.

Aldrich, Carla J., Robert E. Hammer, Ulrich H. Koszinowski, et al.. (1991). Negative and positive selection of antigen-specific cytotoxic T lymphocytes affected by the α3 domain of MHC I molecules. Nature. 352(6337). 718–721. 73 indexed citations

19.

Nicholson, Bruce J., et al.. (1987). The cardiac gap junction protein (Mr 47,000) has a tissue-specific cytoplasmic domain of Mr 17,000 at its carboxy-terminus. Biochemical and Biophysical Research Communications. 142(1). 228–234. 42 indexed citations

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.

Explore authors with similar magnitude of impact