Philip R. Orlander

37 total papers · 1.0k total citations
23 papers, 721 citations indexed

About

Philip R. Orlander is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Philip R. Orlander has authored 23 papers receiving a total of 721 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Surgery and 3 papers in Molecular Biology. Recurrent topics in Philip R. Orlander's work include Diabetes Management and Research (3 papers), Pituitary Gland Disorders and Treatments (3 papers) and Adrenal Hormones and Disorders (3 papers). Philip R. Orlander is often cited by papers focused on Diabetes Management and Research (3 papers), Pituitary Gland Disorders and Treatments (3 papers) and Adrenal Hormones and Disorders (3 papers). Philip R. Orlander collaborates with scholars based in United States, Netherlands and France. Philip R. Orlander's co-authors include Michalis Picolos, Victor Lavis, Rosa M. Estrada‐Y‐Martin, Milton Z. Nichaman, Michael Y. Tsai, Chunyan Cai, Darwin R. Labarthe, Elinor Schoenfeld, Devjit Tripathy and Cristina Boccalandro and has published in prestigious journals such as The Lancet, JAMA and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Philip R. Orlander

22 papers receiving 693 citations

Author Peers

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

Author						Papers	Cites
Philip R. Orlander	186	166	134	106	104	23	721
Veikko Salomaa	132 0.7×	170 1.0×	234 1.7×	125 1.2×	70 0.7×	14	842
Stephen J. Sepe	180 1.0×	87 0.5×	74 0.6×	64 0.6×	89 0.9×	18	693
S. Thomas	113 0.6×	126 0.8×	253 1.9×	98 0.9×	169 1.6×	18	773
Irena Nedzelskienė	55 0.3×	264 1.6×	108 0.8×	117 1.1×	46 0.4×	45	651
Moshe Oettinger	106 0.6×	109 0.7×	234 1.7×	29 0.3×	88 0.8×	46	753
Sakda Arj-Ong Vallibhakara	40 0.2×	191 1.2×	150 1.1×	76 0.7×	47 0.5×	31	726
M P Stern	310 1.7×	33 0.2×	203 1.5×	70 0.7×	135 1.3×	12	877
Martin Ulm	47 0.3×	122 0.7×	143 1.1×	63 0.6×	170 1.6×	36	722
Nicola Greenlaw	49 0.3×	76 0.5×	151 1.1×	47 0.4×	119 1.1×	26	848
Priscila Corraini	29 0.2×	210 1.3×	98 0.7×	81 0.8×	33 0.3×	21	635

Countries citing papers authored by Philip R. Orlander

Since Specialization

Citations

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

Fields of papers citing papers by Philip R. Orlander

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip R. Orlander

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