P S Dannies

23 total papers · 641 total citations
20 papers, 550 citations indexed

About

P S Dannies is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cellular and Molecular Neuroscience. According to data from OpenAlex, P S Dannies has authored 20 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 15 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in P S Dannies's work include Growth Hormone and Insulin-like Growth Factors (13 papers), Neuropeptides and Animal Physiology (5 papers) and Protein Kinase Regulation and GTPase Signaling (4 papers). P S Dannies is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (13 papers), Neuropeptides and Animal Physiology (5 papers) and Protein Kinase Regulation and GTPase Signaling (4 papers). P S Dannies collaborates with scholars based in United States, Belgium and Japan. P S Dannies's co-authors include See‐Ying Tam, Zong Jie Cui, Jonathan A. Pachter, Ole Thastrup, Michael R. Hanley, Dominique Delbeke, Fred S. Gorelick, Rocco Carbone, Karen J. Loechner and Zijie Sun and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.

In The Last Decade

P S Dannies

20 papers receiving 528 citations

Author Peers

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

Author						Papers	Cites
P S Dannies	293	184	136	93	69	20	550
J L Pasteels	260 0.9×	112 0.6×	158 1.2×	59 0.6×	50 0.7×	31	602
Laurie Gaspar	233 0.8×	66 0.4×	127 0.9×	171 1.8×	39 0.6×	20	498
Kaori Ihida	330 1.1×	74 0.4×	173 1.3×	176 1.9×	43 0.6×	17	571
Danielle Gourdji	246 0.8×	202 1.1×	147 1.1×	25 0.3×	78 1.1×	17	505
Juan A. Barbosa	315 1.1×	158 0.9×	143 1.1×	161 1.7×	18 0.3×	12	547
W. Austin Spruill	204 0.7×	62 0.3×	65 0.5×	102 1.1×	157 2.3×	16	458
Marie A. Tavianini	322 1.1×	118 0.6×	205 1.5×	39 0.4×	40 0.6×	11	528
C Bancroft	249 0.8×	290 1.6×	66 0.5×	25 0.3×	59 0.9×	17	526
Kazuro Yaekura	249 0.8×	146 0.8×	118 0.9×	115 1.2×	25 0.4×	23	571
Elżbieta Biesiada	364 1.2×	99 0.5×	97 0.7×	52 0.6×	20 0.3×	13	612

Countries citing papers authored by P S Dannies

Since Specialization

Citations

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

Fields of papers citing papers by P S Dannies

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P S Dannies. 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 P S Dannies. The network helps show where P S Dannies may publish in the future.

Co-authorship network of co-authors of P S Dannies

This figure shows the co-authorship network connecting the top 25 collaborators of P S Dannies. A scholar is included among the top collaborators of P S Dannies 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 P S Dannies. P S Dannies 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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