David E. Brooks
Impact in
- Reproductive Medicine top 10%
- Sperm and Testicular Function
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- Metabolism and Genetic Disorders
Papers in
-
- Glycosylation and Glycoproteins Research 1
-
- Distributed systems and fault tolerance 2
- Network Traffic and Congestion Control 2
- Software System Performance and Reliability 1
- Co-authors
- Gu-Yeon Wei (1 shared paper)Hsien-Hsin S. Lee (1 shared paper)Carole-Jean Wu (1 shared paper)Gage Hills (1 shared paper)Udit Gupta (1 shared paper)Michael J. D’Occhio (1 shared paper)Frank E. Young (2 shared papers)Youssef Hatefi (1 shared paper)
- Journals
- Journal of Bacteriology (2 papers)British Journal of Clinical Pharmacology (1 paper)Journal of Andrology (1 paper)The Journal of Urology (1 paper)Theriogenology (1 paper)
- Partner nations
- United StatesAustraliaHungary
In The Last Decade
David E. Brooks
13 papers receiving 305 citations
Peers
Comparison fields: 5 of 107
- Reproductive Medicine 41
- Clinical Biochemistry 32
- Tourism, Leisure and Hospitality Management 7
- General Decision Sciences 5
- Hardware and Architecture 17
Countries citing papers authored by David E. Brooks
This map shows the geographic impact of David E. Brooks'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 David E. Brooks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David E. Brooks more than expected).
Fields of papers citing papers by David E. Brooks
This network shows the impact of papers produced by David E. Brooks. 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 David E. Brooks. The network helps show where David E. Brooks may publish in the future.
Co-authors
The 25 scholars most cited alongside David E. Brooks, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 105 | |
| 2 | 1980 | 54 | |
| 3 | 1990 | 45 | |
| 4 | 1971 | 24 | |
| 5 | 1974 | 24 | |
| 6 | 1976 | 19 | |
| 7 | 2018 | 17 | |
| 8 | 1986 | 16 | |
| 9 | 1977 | 11 | |
| 10 | ACTS 118x Final Report High-Speed TCP Interoperability Testing | 1999 | 6 |
| 11 | 2016 | 5 | |
| 12 | 1984 | 3 | |
| 13 | 1999 | 1 |
About David E. Brooks
David E. Brooks is a scholar working on Molecular Biology, Computer Networks and Communications, Genetics, Biochemistry and Aerospace Engineering, having authored 13 papers that have together received 330 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (2 papers), Satellite Communication Systems (2 papers), Network Traffic and Congestion Control (2 papers), Bacterial Genetics and Biotechnology (2 papers), Software System Performance and Reliability (1 paper), Glycosylation and Glycoproteins Research (1 paper), Green IT and Sustainability (1 paper) and Hormonal and reproductive studies (1 paper). The work is most often cited by research in Reproductive Medicine (41 citations), Clinical Biochemistry (32 citations), Tourism, Leisure and Hospitality Management (7 citations), General Decision Sciences (5 citations) and Hardware and Architecture (17 citations). David E. Brooks has collaborated with scholars based in United States, Australia and Hungary. Frequent co-authors include Gu-Yeon Wei, Hsien-Hsin S. Lee, Carole-Jean Wu, Gage Hills, Udit Gupta, Michael J. D’Occhio, Frank E. Young, Youssef Hatefi, Surinder Singh and J. B. Thiersch. Their work appears in journals such as Journal of Bacteriology, British Journal of Clinical Pharmacology, Journal of Andrology, The Journal of Urology and Theriogenology.
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.