Alan D. Magid

21 total papers · 1.2k total citations
15 papers, 960 citations indexed

About

Alan D. Magid is a scholar working on Molecular Biology, Biomedical Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Alan D. Magid has authored 15 papers receiving a total of 960 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Biomedical Engineering and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Alan D. Magid's work include Lipid Membrane Structure and Behavior (6 papers), Characterization and Applications of Magnetic Nanoparticles (3 papers) and Muscle activation and electromyography studies (3 papers). Alan D. Magid is often cited by papers focused on Lipid Membrane Structure and Behavior (6 papers), Characterization and Applications of Magnetic Nanoparticles (3 papers) and Muscle activation and electromyography studies (3 papers). Alan D. Magid collaborates with scholars based in United States and Bulgaria. Alan D. Magid's co-authors include Thomas J. McIntosh, Sidney A. Simon, Douglas J. Law, Michael K. Reedy, David Needham, Anne K. Kenworthy, Carmen Lucaveche, Theda C. Kontis, H. Ping Ting‐Beall and John P. Manfredi and has published in prestigious journals such as Science, Biochemistry and Biophysical Journal.

In The Last Decade

Alan D. Magid

15 papers receiving 912 citations

Author Peers

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

Author						Papers	Cites
Alan D. Magid	658	254	221	168	123	15	960
Jamie E. Godfrey	572 0.9×	57 0.2×	57 0.3×	198 1.2×	29 0.2×	24	961
Sylvia Himmelfarb	586 0.9×	96 0.4×	66 0.3×	492 2.9×	18 0.1×	13	999
Casper Hyttel Clausen	329 0.5×	398 1.6×	62 0.3×	75 0.4×	37 0.3×	34	1.1k
Morris Burke	700 1.1×	73 0.3×	71 0.3×	549 3.3×	21 0.2×	33	1.1k
Matthew A. Caporizzo	503 0.8×	144 0.6×	81 0.4×	395 2.4×	46 0.4×	29	1.1k
Laura Andolfi	479 0.7×	267 1.1×	235 1.1×	28 0.2×	38 0.3×	50	1.1k
Yutaka Ueno	533 0.8×	171 0.7×	263 1.2×	469 2.8×	21 0.2×	33	988
Cecile O. Mejean	342 0.5×	253 1.0×	149 0.7×	29 0.2×	61 0.5×	9	1.1k
D.R. Kominz	487 0.7×	82 0.3×	54 0.2×	408 2.4×	16 0.1×	28	986
Jaime Andrés Rivas‐Pardo	555 0.8×	122 0.5×	464 2.1×	247 1.5×	84 0.7×	33	1.0k

Countries citing papers authored by Alan D. Magid

Since Specialization

Citations

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

Fields of papers citing papers by Alan D. Magid

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alan D. Magid. 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 Alan D. Magid. The network helps show where Alan D. Magid may publish in the future.

Co-authorship network of co-authors of Alan D. Magid

This figure shows the co-authorship network connecting the top 25 collaborators of Alan D. Magid. A scholar is included among the top collaborators of Alan D. Magid 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 Alan D. Magid. Alan D. Magid 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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