Philip D. Campbell

26 total papers · 489 total citations
12 papers, 356 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 356 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), Congenital heart defects research (2 papers) and Chemical Synthesis and Analysis (2 papers). Philip D. Campbell is often cited by papers focused on Zebrafish Biomedical Research Applications (4 papers), Congenital heart defects research (2 papers) and Chemical Synthesis and Analysis (2 papers). Philip D. Campbell collaborates with scholars based in United States, Switzerland and United Kingdom. Philip D. Campbell's co-authors include Florence L. Marlow, Thomas D. Glenn, Kimberle Shen, Matthew R. Sapio, William S. Talbot, Jeffrey A. Chao, Robert H. Singer, Ann M. Miller, Todd Evans and Michael Granato 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 351 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Philip D. Campbell	199	84	66	53	34	12	356
Cristián Arredondo	228 1.1×	73 0.9×	18 0.3×	54 1.0×	21 0.6×	14	355
Kai Cheng	164 0.8×	83 1.0×	31 0.5×	78 1.5×	37 1.1×	17	325
Chao Tan	167 0.8×	42 0.5×	11 0.2×	89 1.7×	16 0.5×	15	372
Kerri Spilker	187 0.9×	121 1.4×	19 0.3×	75 1.4×	38 1.1×	11	324
N Limozin	249 1.3×	34 0.4×	26 0.4×	43 0.8×	15 0.4×	20	338
Zeynep Sena Ağım	168 0.8×	42 0.5×	18 0.3×	103 1.9×	26 0.8×	13	386
Kyoko Chiba	162 0.8×	198 2.4×	55 0.8×	52 1.0×	23 0.7×	27	378
Ashley N. Leek	215 1.1×	64 0.8×	67 1.0×	104 2.0×	35 1.0×	7	345
Aleksandra Siekierska	210 1.1×	131 1.6×	15 0.2×	113 2.1×	58 1.7×	17	386
E. Chang	153 0.8×	44 0.5×	101 1.5×	66 1.2×	67 2.0×	9	338

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

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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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