Douglas G. Howe

7.0k total citations · 1 hit paper
33 papers, 1.4k citations indexed

About

Douglas G. Howe is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Douglas G. Howe has authored 33 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Douglas G. Howe's work include Biomedical Text Mining and Ontologies (16 papers), Bioinformatics and Genomic Networks (13 papers) and Genetics, Bioinformatics, and Biomedical Research (6 papers). Douglas G. Howe is often cited by papers focused on Biomedical Text Mining and Ontologies (16 papers), Bioinformatics and Genomic Networks (13 papers) and Genetics, Bioinformatics, and Biomedical Research (6 papers). Douglas G. Howe collaborates with scholars based in United States, United Kingdom and South Sudan. Douglas G. Howe's 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 and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Douglas G. Howe

32 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Zebrafish information network, the knowledgebase for Danio rerio research

2022 114 citations Yvonne M. Bradford, Ceri E. Van Slyke et al. Genetics profile →

Peers

Douglas G. Howe

MB

CB

GENET

AI

CMN

Jie Zheng United States

Yannick Pouliot United States

Peter McQuilton United Kingdom

Seth Carbon United States

David W. Kane United States

Eleanor Williams United Kingdom

Matthew Brush United States

Uğis Sarkans United Kingdom

Brett Milash United States

Venkata Satagopam Luxembourg

Jie Zheng United States

Douglas G. Howe

1.2k ×1.5

MB

61 ×0.3

CB

138 ×0.8

GENET

326 ×2.8

AI

142 ×1.4

CMN

Citations per year, relative to Douglas G. Howe Douglas G. Howe (= 1×) peers Jie Zheng

Countries citing papers authored by Douglas G. Howe

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

20 of 20 papers shown

1.

Bradford, Yvonne M., Ceri E. Van Slyke, Douglas G. Howe, et al.. (2025). ZFIN updates to support zebrafish environmental exposure data. Genetics. 229(3).

2.

Bradford, Yvonne M., Ceri E. Van Slyke, Leyla Ruzicka, et al.. (2022). Zebrafish information network, the knowledgebase for Danio rerio research. Genetics. 220(4). 114 indexed citations breakdown →

3.

Howe, Douglas G., Sridhar Ramachandran, Yvonne M. Bradford, et al.. (2020). The Zebrafish Information Network: major gene page and home page updates. Nucleic Acids Research. 49(D1). D1058–D1064. 10 indexed citations

4.

Ruzicka, Leyla, Douglas G. Howe, Sridhar Ramachandran, et al.. (2018). The Zebrafish Information Network: new support for non-coding genes, richer Gene Ontology annotations and the Alliance of Genome Resources. Nucleic Acids Research. 47(D1). D867–D873. 98 indexed citations

5.

Howe, Douglas G., Judith A. Blake, Yvonne M. Bradford, et al.. (2018). Model organism data evolving in support of translational medicine. Lab Animal. 47(10). 277–289. 27 indexed citations

6.

Slyke, Ceri E. Van, Yvonne M. Bradford, Douglas G. Howe, et al.. (2018). Using ZFIN: Data Types, Organization, and Retrieval. Methods in molecular biology. 1757. 307–347. 9 indexed citations

7.

Huntley, Rachael P., Д. С. Ситников, M Orlic-Milacic, et al.. (2016). Guidelines for the functional annotation of microRNAs using the Gene Ontology. RNA. 22(5). 667–676. 32 indexed citations

8.

Howe, Douglas G., Yvonne M. Bradford, Anne Eagle, et al.. (2016). A scientist's guide for submitting data to ZFIN. Methods in cell biology. 135. 451–481. 6 indexed citations

9.

Bradford, Yvonne M., Sabrina Toro, Sridhar Ramachandran, et al.. (2016). Zebrafish Models of Human Disease: Gaining Insight into Human Disease at ZFIN. ILAR Journal. 58(1). 4–16. 113 indexed citations

10.

Ruzicka, Leyla, Yvonne M. Bradford, Ken Frazer, et al.. (2015). ZFIN, The zebrafish model organism database: Updates and new directions. genesis. 53(8). 498–509. 53 indexed citations

11.

Alam-Faruque, Yasmin, David P. Hill, Emily Dimmer, et al.. (2014). Representing Kidney Development Using the Gene Ontology. PLoS ONE. 9(6). e99864–e99864. 13 indexed citations

12.

Howe, Douglas G., Ken Frazer, David Fashena, et al.. (2011). Data Extraction, Transformation, and Dissemination through ZFIN. Methods in cell biology. 104. 311–325. 4 indexed citations

13.

Khodiyar, Varsha, David P. Hill, Douglas G. Howe, et al.. (2011). The representation of heart development in the gene ontology. Developmental Biology. 354(1). 9–17. 28 indexed citations

14.

Good, Benjamin M., Douglas G. Howe, Simon Lin, Warren A. Kibbe, & Andrew I. Su. (2011). Mining the Gene Wiki for functional genomic knowledge. BMC Genomics. 12(1). 603–603. 9 indexed citations

15.

Hill, David P., et al.. (2009). Representing ontogeny through ontology: A developmental biologist's guide to the gene ontology. Molecular Reproduction and Development. 77(4). 314–329. 15 indexed citations

16.

Howe, Douglas G., Christine M. Clarke, Brandon S. Willis, et al.. (2005). Inhibition of protein kinase A in murine enteric neurons causes lethal intestinal pseudo-obstruction. Journal of Neurobiology. 66(3). 256–272. 26 indexed citations

17.

Amieux, Paul S., Douglas G. Howe, David C. Lee, et al.. (2002). Increased Basal cAMP-dependent Protein Kinase Activity Inhibits the Formation of Mesoderm-derived Structures in the Developing Mouse Embryo. Journal of Biological Chemistry. 277(30). 27294–27304. 93 indexed citations

18.

Howe, Douglas G.. (2002). Molecular and Behavioral Effects of a Null Mutation in All PKA Cβ Isoforms. Molecular and Cellular Neuroscience. 20(3). 515–524. 43 indexed citations

19.

Howe, Douglas G. & Ken D. McCarthy. (1998). A dicistronic retroviral vector and culture model for analysis of neuron–Schwann cell interactions. Journal of Neuroscience Methods. 83(2). 133–142. 10 indexed citations

20.

Howe, Douglas G., et al.. (1996). Oligodendroglial Signal Transduction Systems Are Regulated by Neuronal Contact. Journal of Neurochemistry. 67(4). 1491–1499. 27 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.

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