Marcel V. Alavi

43 total papers · 2.2k total citations
25 papers, 1.2k citations indexed

About

Marcel V. Alavi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Clinical Biochemistry. According to data from OpenAlex, Marcel V. Alavi has authored 25 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Clinical Biochemistry. Recurrent topics in Marcel V. Alavi's work include Mitochondrial Function and Pathology (14 papers), ATP Synthase and ATPases Research (10 papers) and Retinal Development and Disorders (6 papers). Marcel V. Alavi is often cited by papers focused on Mitochondrial Function and Pathology (14 papers), ATP Synthase and ATPases Research (10 papers) and Retinal Development and Disorders (6 papers). Marcel V. Alavi collaborates with scholars based in Germany, United States and France. Marcel V. Alavi's co-authors include Nico Fuhrmann, Bernd Wissinger, Ulrich Schraermeyer, Simone Schimpf, Stefanie Bette, James D. Lindsey, Tae Hyuk Kang, Mark H. Ellisman, Hans F. Wehrl and Jürgen Laufs and has published in prestigious journals such as Journal of Biological Chemistry, Brain and The Journal of Physiology.

In The Last Decade

Marcel V. Alavi

25 papers receiving 1.2k citations

Author Peers

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

Author						Papers	Cites
Marcel V. Alavi	994	167	161	159	142	25	1.2k
Alessandra Maresca	1.0k 1.0×	264 1.6×	142 0.9×	131 0.8×	103 0.7×	38	1.3k
Małgorzata Piechota	696 0.7×	172 1.0×	81 0.5×	207 1.3×	111 0.8×	16	915
Nicole J. Van Bergen	876 0.9×	155 0.9×	111 0.7×	126 0.8×	508 3.6×	36	1.3k
Sébastien Augustin	771 0.8×	184 1.1×	110 0.7×	83 0.5×	304 2.1×	33	1.1k
Franziska vom Hagen	627 0.6×	160 1.0×	93 0.6×	150 0.9×	492 3.5×	24	1.3k
Nobushige Tanaka	542 0.5×	422 2.5×	396 2.5×	127 0.8×	134 0.9×	19	1.4k
Taraka Donti	1.1k 1.1×	371 2.2×	167 1.0×	191 1.2×	25 0.2×	35	1.4k
R. M. Chalmers	733 0.7×	305 1.8×	272 1.7×	140 0.9×	45 0.3×	16	1.1k
Ronald J. Przybylski	592 0.6×	75 0.4×	148 0.9×	212 1.3×	30 0.2×	36	1.2k
Masumi Takeda	783 0.8×	87 0.5×	390 2.4×	79 0.5×	418 2.9×	26	1.3k

Countries citing papers authored by Marcel V. Alavi

Since Specialization

Citations

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

Fields of papers citing papers by Marcel V. Alavi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcel V. Alavi. 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 Marcel V. Alavi. The network helps show where Marcel V. Alavi may publish in the future.

Co-authorship network of co-authors of Marcel V. Alavi

This figure shows the co-authorship network connecting the top 25 collaborators of Marcel V. Alavi. A scholar is included among the top collaborators of Marcel V. Alavi 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 Marcel V. Alavi. Marcel V. Alavi 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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