Philip D. Campbell

496 total citations
12 papers, 360 citations indexed

About

Philip D. Campbell is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Philip D. Campbell has authored 12 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Cell Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Philip D. Campbell's work include Zebrafish Biomedical Research Applications (4 papers), Chemical Synthesis and Analysis (2 papers) and Microtubule and mitosis dynamics (2 papers). Philip D. Campbell is often cited by papers focused on Zebrafish Biomedical Research Applications (4 papers), Chemical Synthesis and Analysis (2 papers) and Microtubule and mitosis dynamics (2 papers). Philip D. Campbell collaborates with scholars based in United States, Switzerland and Canada. Philip D. Campbell's co-authors include Florence L. Marlow, William S. Talbot, Kimberle Shen, Matthew R. Sapio, Thomas D. Glenn, Jeffrey A. Chao, Robert H. Singer, Ann M. Miller, Michael Granato and Bhaskar C. Das and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Development.

In The Last Decade

Philip D. Campbell

12 papers receiving 355 citations

Peers

Philip D. Campbell
Philip D. Campbell
Citations per year, relative to Philip D. Campbell Philip D. Campbell (= 1×) peers Stefanie Schuster

Countries citing papers authored by Philip D. Campbell

Since Specialization
Citations

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

Fields of papers citing papers by Philip D. Campbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip D. Campbell. 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 Philip D. Campbell. The network helps show where Philip D. Campbell may publish in the future.

Co-authorship network of co-authors of Philip D. Campbell

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

All Works

12 of 12 papers shown
1.
Campbell, Philip D., et al.. (2024). A single base pair substitution in zebrafish distinguishes between innate and acute startle behavior regulation. PLoS ONE. 19(3). e0300529–e0300529. 2 indexed citations
2.
Campbell, Philip D., et al.. (2023). Mitochondrial proteins encoded by the 22q11.2 neurodevelopmental locus regulate neural stem and progenitor cell proliferation. Molecular Psychiatry. 28(9). 3769–3781. 8 indexed citations
3.
Campbell, Philip D. & Michael Granato. (2020). Zebrafish as a tool to study schizophrenia-associated copy number variants. Disease Models & Mechanisms. 13(4). 14 indexed citations
4.
García‐Macía, Marina, et al.. (2017). Kinesin-1 promotes chondrocyte maintenance during skeletal morphogenesis. PLoS Genetics. 13(7). e1006918–e1006918. 21 indexed citations
5.
Campbell, Philip D., et al.. (2017). Bright Light Therapy: Seasonal Affective Disorder and Beyond.. PubMed. 32. E13–E25. 33 indexed citations
6.
Campbell, Philip D., et al.. (2015). Kinesin-1 interacts with Bucky ball to form germ cells and is required to pattern the zebrafish body axis. Development. 142(17). 2996–3008. 32 indexed citations
7.
Campbell, Philip D., Jeffrey A. Chao, Robert H. Singer, & Florence L. Marlow. (2015). Dynamic visualization of transcription and RNA subcellular localization in zebrafish. Development. 142(7). 1368–74. 48 indexed citations
8.
Campbell, Philip D., Kimberle Shen, Matthew R. Sapio, et al.. (2014). Unique Function of Kinesin Kif5A in Localization of Mitochondria in Axons. Journal of Neuroscience. 34(44). 14717–14732. 88 indexed citations
9.
Campbell, Philip D. & Florence L. Marlow. (2013). Temporal and tissue specific gene expression patterns of the zebrafish kinesin-1 heavy chain family, kif5s, during development. Gene Expression Patterns. 13(7). 271–279. 19 indexed citations
10.
Das, Bhaskar C., Sakkarapalayam M. Mahalingam, Lipsa Panda, et al.. (2010). Design and synthesis of potential new apoptosis agents: hybrid compounds containing perillyl alcohol and new constrained retinoids. Tetrahedron Letters. 51(11). 1462–1466. 14 indexed citations
11.
Das, Bhaskar C., Seetaram Mohapatra, Philip D. Campbell, et al.. (2010). Synthesis of function-oriented 2-phenyl-2H-chromene derivatives using l-pipecolinic acid and substituted guanidine organocatalysts. Tetrahedron Letters. 51(19). 2567–2570. 39 indexed citations
12.
Campbell, Philip D., et al.. (2009). Constrained Peptidomimetics Reveal Detailed Geometric Requirements of Covalent Prolyl Oligopeptidase Inhibitors. Journal of Medicinal Chemistry. 52(21). 6672–6684. 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.

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