Philip G. Baer

60 total papers · 1.5k total citations
47 papers, 1.2k citations indexed

About

Philip G. Baer is a scholar working on Biochemistry, Pharmacology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Philip G. Baer has authored 47 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Biochemistry, 13 papers in Pharmacology and 11 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Philip G. Baer's work include Eicosanoids and Hypertension Pharmacology (18 papers), Inflammatory mediators and NSAID effects (12 papers) and Hormonal Regulation and Hypertension (9 papers). Philip G. Baer is often cited by papers focused on Eicosanoids and Hypertension Pharmacology (18 papers), Inflammatory mediators and NSAID effects (12 papers) and Hormonal Regulation and Hypertension (9 papers). Philip G. Baer collaborates with scholars based in United States, Italy and Germany. Philip G. Baer's co-authors include Alberto Nasjletti, L. Gabriel Navar, Lauren M. Cagen, Giuseppe Bianchi, B. R. Edwards, J. H. Dirks, R. A. L. Sutton, John C. McGiff, Leonard Share and Joan T. Crofton and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Circulation Research.

In The Last Decade

Philip G. Baer

47 papers receiving 1.1k citations

Author Peers

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

Author						Papers	Cites
Philip G. Baer	367	248	229	183	182	47	1.2k
Jessie N. Lindsley	402 1.1×	158 0.6×	178 0.8×	213 1.2×	192 1.1×	30	1.4k
Michael A. Kirschenbaum	503 1.4×	94 0.4×	169 0.7×	158 0.9×	215 1.2×	67	1.4k
Reena Rao	905 2.5×	204 0.8×	267 1.2×	135 0.7×	177 1.0×	26	1.4k
Jane Stubbe	426 1.2×	75 0.3×	216 0.9×	237 1.3×	245 1.3×	50	1.2k
Conrado Johns	570 1.6×	187 0.8×	167 0.7×	365 2.0×	104 0.6×	34	1.3k
Abraham P. Provoost	345 0.9×	346 1.4×	229 1.0×	447 2.4×	82 0.5×	51	1.5k
Tengis S. Pavlov	787 2.1×	186 0.8×	331 1.4×	194 1.1×	40 0.2×	53	1.4k
Karen A. Munger	364 1.0×	61 0.2×	111 0.5×	201 1.1×	182 1.0×	41	1.2k
Rodrigo Alzamora	753 2.1×	218 0.9×	490 2.1×	224 1.2×	84 0.5×	35	1.5k
Walter Trizna	661 1.8×	81 0.3×	167 0.7×	198 1.1×	67 0.4×	43	1.4k

Countries citing papers authored by Philip G. Baer

Since Specialization

Citations

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

Fields of papers citing papers by Philip G. Baer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip G. Baer

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