Douglas G. Howe
- Molecular Biology top 10%
- Cell Biology top 10%
- Genetics
- Artificial Intelligence top 10%
- Cellular and Molecular Neuroscience
- Co-authors
- David P. HillKen D. McCarthySimon TwiggerMaria C. CostanzoYvonne M. BradfordPetra FeyRenate KaniaMary Schaeffer
- Topics
- Biomedical Text Mining and Ontologies (16 papers)Bioinformatics and Genomic Networks (13 papers)Genetics, Bioinformatics, and Biomedical Research (6 papers)
- Partner nations
- United StatesUnited KingdomSouth Sudan
In The Last Decade
Douglas G. Howe
32 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Molecular Biology 779
- Cell Biology 181
- Genetics 167
- Artificial Intelligence 115
- Cellular and Molecular Neuroscience 103
Countries citing papers authored by Douglas G. Howe
This map shows the geographic impact of Douglas G. Howe'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 Douglas G. Howe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Douglas G. Howe more than expected).
Fields of papers citing papers by Douglas G. Howe
This network shows the impact of papers produced by Douglas G. Howe. 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 Douglas G. Howe. The network helps show where Douglas G. Howe may publish in the future.
Co-authorship network of co-authors of Douglas G. Howe
This figure shows the co-authorship network connecting the top 25 collaborators of Douglas G. Howe. A scholar is included among the top collaborators of Douglas G. Howe 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 Douglas G. Howe. Douglas G. Howe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Zebrafish information network, the knowledgebase for Danio rerio researchbreakdown → | 114 |
| 3 | 10 | |
| 4 | 98 | |
| 5 | 27 | |
| 6 | 9 | |
| 7 | 32 | |
| 8 | 6 | |
| 9 | 113 | |
| 10 | 53 | |
| 11 | 13 | |
| 12 | 4 | |
| 13 | 28 | |
| 14 | 9 | |
| 15 | 15 | |
| 16 | 26 | |
| 17 | 93 | |
| 18 | 43 | |
| 19 | 10 | |
| 20 | 27 |
About Douglas G. Howe
Douglas G. Howe is a scholar working on Architecture, Molecular Biology and Developmental Neuroscience, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (16 papers), Bioinformatics and Genomic Networks (13 papers) and Genetics, Bioinformatics, and Biomedical Research (6 papers). The work is most often cited by research in Information Systems and Management (84 citations), Molecular Biology (779 citations) and Cell Biology (181 citations). Douglas G. Howe has collaborated with scholars based in United States, United Kingdom and South Sudan. Frequent co-authors include David P. Hill, Ken D. McCarthy, Simon Twigger, Maria C. Costanzo, Yvonne M. Bradford, Petra Fey, Renate Kania, Mary Schaeffer, Owen White and Takashi Gojobori. Their work appears in journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.
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.