Marcus D. Skaflen

18 total papers · 856 total citations
13 papers, 664 citations indexed

About

Marcus D. Skaflen is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Marcus D. Skaflen has authored 13 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 5 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in Marcus D. Skaflen's work include Atherosclerosis and Cardiovascular Diseases (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers) and Drug Transport and Resistance Mechanisms (3 papers). Marcus D. Skaflen is often cited by papers focused on Atherosclerosis and Cardiovascular Diseases (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers) and Drug Transport and Resistance Mechanisms (3 papers). Marcus D. Skaflen collaborates with scholars based in United States, Brazil and South Korea. Marcus D. Skaflen's co-authors include Catherine C. Hedrick, Coleen A. McNamara, Suseela Srinivasan, Amanda C. Doran, Michael J. Lipinski, Kirsti A. Campbell, David T. Bolick, Valentı́n Fuster, Stephanie Oldham and Jeremy Mauldin and has published in prestigious journals such as Circulation, The Journal of Immunology and Circulation Research.

In The Last Decade

Marcus D. Skaflen

13 papers receiving 660 citations

Author Peers

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

Author						Papers	Cites
Marcus D. Skaflen	284	260	222	127	122	13	664
Angela K. Stoeckman	312 1.1×	260 1.0×	218 1.0×	76 0.6×	136 1.1×	12	751
Frederick C. deBeer	249 0.9×	173 0.7×	250 1.1×	65 0.5×	156 1.3×	7	626
Jing Tian	199 0.7×	413 1.6×	138 0.6×	70 0.6×	215 1.8×	13	689
Suvi E. Heinonen	221 0.8×	153 0.6×	163 0.7×	99 0.8×	59 0.5×	24	560
Geena Varghese Paramel	475 1.7×	260 1.0×	119 0.5×	74 0.6×	119 1.0×	20	746
Matteo Marini	212 0.7×	176 0.7×	151 0.7×	120 0.9×	74 0.6×	17	770
Daniel H. Sturn	290 1.0×	192 0.7×	102 0.5×	108 0.9×	133 1.1×	20	783
Greg Dietsch	200 0.7×	271 1.0×	144 0.6×	47 0.4×	81 0.7×	16	708
Peggy Robinet	312 1.1×	159 0.6×	264 1.2×	78 0.6×	94 0.8×	19	731
Birgit Faber	266 0.9×	208 0.8×	130 0.6×	99 0.8×	89 0.7×	11	703

Countries citing papers authored by Marcus D. Skaflen

Since Specialization

Citations

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

Fields of papers citing papers by Marcus D. Skaflen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcus D. Skaflen

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