Paul G. Moe

25 total papers · 1.1k total citations
16 papers, 833 citations indexed

About

Paul G. Moe is a scholar working on Clinical Biochemistry, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Paul G. Moe has authored 16 papers receiving a total of 833 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Clinical Biochemistry, 5 papers in Molecular Biology and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Paul G. Moe's work include Metabolism and Genetic Disorders (6 papers), Biochemical and Molecular Research (4 papers) and Amino Acid Enzymes and Metabolism (3 papers). Paul G. Moe is often cited by papers focused on Metabolism and Genetic Disorders (6 papers), Biochemical and Molecular Research (4 papers) and Amino Acid Enzymes and Metabolism (3 papers). Paul G. Moe collaborates with scholars based in United States, Iran and Canada. Paul G. Moe's co-authors include Stephen I. Goodman, Sanford P. Markey, Cecilia Teng, Barbara S. Miles, Gerhard Nellhaus, Michael D. Norenberg, Robert H. Shikes, Oddvar Stokke, Keith Hammond and S. Harvey Mudd and has published in prestigious journals such as Environmental Science & Technology, American Journal of Clinical Nutrition and Neurology.

In The Last Decade

Paul G. Moe

16 papers receiving 767 citations

Author Peers

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

Author						Papers	Cites
Paul G. Moe	544	498	140	128	103	16	833
P. D. Gatfield	335 0.6×	274 0.6×	159 1.1×	89 0.7×	86 0.8×	13	737
Marco Rimoldi	621 1.1×	436 0.9×	86 0.6×	95 0.7×	205 2.0×	17	907
K. Bartholomé	441 0.8×	635 1.3×	122 0.9×	119 0.9×	162 1.6×	27	930
Iris Marquardt	346 0.6×	400 0.8×	50 0.4×	149 1.2×	44 0.4×	15	794
Rafael Borba Rosa	491 0.9×	447 0.9×	119 0.8×	71 0.6×	110 1.1×	21	806
M. P. Champion	297 0.5×	316 0.6×	42 0.3×	110 0.9×	107 1.0×	17	724
Emma Footitt	382 0.7×	406 0.8×	42 0.3×	151 1.2×	123 1.2×	28	725
Ann Bowron	421 0.8×	300 0.6×	69 0.5×	254 2.0×	69 0.7×	28	990
Nataliya Povalko	820 1.5×	505 1.0×	56 0.4×	61 0.5×	76 0.7×	20	1.0k
Florence Habarou	367 0.7×	245 0.5×	36 0.3×	52 0.4×	100 1.0×	23	717

Countries citing papers authored by Paul G. Moe

Since Specialization

Citations

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

Fields of papers citing papers by Paul G. Moe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul G. Moe

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