Philip J. Monroe

29 total papers · 835 total citations
23 papers, 655 citations indexed

About

Philip J. Monroe is a scholar working on Cellular and Molecular Neuroscience, Physiology and Molecular Biology. According to data from OpenAlex, Philip J. Monroe has authored 23 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cellular and Molecular Neuroscience, 15 papers in Physiology and 11 papers in Molecular Biology. Recurrent topics in Philip J. Monroe's work include Pain Mechanisms and Treatments (14 papers), Neuropeptides and Animal Physiology (9 papers) and Neuroscience and Neuropharmacology Research (7 papers). Philip J. Monroe is often cited by papers focused on Pain Mechanisms and Treatments (14 papers), Neuropeptides and Animal Physiology (9 papers) and Neuroscience and Neuropharmacology Research (7 papers). Philip J. Monroe collaborates with scholars based in United States, Canada and Netherlands. Philip J. Monroe's co-authors include David J. Smith, Terriann Crisp, David J. Smith, David J. Smith, Deborah L. Smith, Charles R. Craig, Mark O. Urban, Jeffrey Smith, Danielle Gully and Daniel L. Smith and has published in prestigious journals such as Brain Research, Pain and Annals of the New York Academy of Sciences.

In The Last Decade

Philip J. Monroe

22 papers receiving 633 citations

Author Peers

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

Author						Papers	Cites
Philip J. Monroe	370	266	262	97	80	23	655
Julie Wieseler	293 0.8×	164 0.6×	377 1.4×	51 0.5×	41 0.5×	16	727
B. A. Svensson	208 0.6×	110 0.4×	263 1.0×	65 0.7×	170 2.1×	19	598
Katharyn Spiegel	310 0.8×	302 1.1×	354 1.4×	110 1.1×	46 0.6×	13	729
Gilly Wolf	301 0.8×	148 0.6×	366 1.4×	48 0.5×	51 0.6×	22	767
Shinn‐Long Lin	213 0.6×	175 0.7×	274 1.0×	44 0.5×	54 0.7×	32	607
Charles E. Inturrisi	453 1.2×	426 1.6×	205 0.8×	82 0.8×	31 0.4×	23	768
Veronica Fagerholm	186 0.5×	221 0.8×	118 0.5×	35 0.4×	183 2.3×	16	659
Bingrui Xiong	150 0.4×	181 0.7×	279 1.1×	37 0.4×	35 0.4×	22	625
Paula García‐Nogales	182 0.5×	226 0.8×	275 1.0×	29 0.3×	56 0.7×	15	557
Sigal Meilin	147 0.4×	228 0.9×	170 0.6×	54 0.6×	74 0.9×	37	725

Countries citing papers authored by Philip J. Monroe

Since Specialization

Citations

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

Fields of papers citing papers by Philip J. Monroe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip J. Monroe

This figure shows the co-authorship network connecting the top 25 collaborators of Philip J. Monroe. A scholar is included among the top collaborators of Philip J. Monroe 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 J. Monroe. Philip J. Monroe 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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