Tim Prozorovski

21 total papers · 959 total citations
14 papers, 763 citations indexed

About

Tim Prozorovski is a scholar working on Molecular Biology, Neurology and Developmental Neuroscience. According to data from OpenAlex, Tim Prozorovski has authored 14 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Neurology and 4 papers in Developmental Neuroscience. Recurrent topics in Tim Prozorovski's work include Neurogenesis and neuroplasticity mechanisms (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and MicroRNA in disease regulation (3 papers). Tim Prozorovski is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and MicroRNA in disease regulation (3 papers). Tim Prozorovski collaborates with scholars based in Germany, Sweden and Czechia. Tim Prozorovski's co-authors include Stefan Knapp, Kurt D. Berndt, Udo Oppermann, Jordi Benach, Erik Nordling, Charlotta Filling, Rudolf Ladenstein, Hans Jörnvall, Orhan Aktaş and Hans‐Peter Hartung and has published in prestigious journals such as Journal of Biological Chemistry, International Journal of Molecular Sciences and Journal of Neurochemistry.

In The Last Decade

Tim Prozorovski

13 papers receiving 756 citations

Author Peers

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

Author						Papers	Cites
Tim Prozorovski	489	140	88	71	68	14	763
Frances A. Emig	341 0.7×	81 0.6×	40 0.5×	45 0.6×	45 0.7×	17	886
Y C Huang	486 1.0×	49 0.3×	61 0.7×	32 0.5×	33 0.5×	15	862
Simon H. Chang	654 1.3×	153 1.1×	96 1.1×	8 0.1×	51 0.8×	28	870
Huizhen Zhao	419 0.9×	39 0.3×	23 0.3×	33 0.5×	166 2.4×	18	747
Aviram Kogot‐Levin	465 1.0×	13 0.1×	108 1.2×	89 1.3×	30 0.4×	20	792
Shihe Yang	325 0.7×	127 0.9×	28 0.3×	15 0.2×	64 0.9×	16	728
Houssam Raad	358 0.7×	19 0.1×	53 0.6×	16 0.2×	47 0.7×	16	840
R.J. Martinez-Torres	564 1.2×	57 0.4×	34 0.4×	17 0.2×	20 0.3×	14	809
Fang Wu	507 1.0×	31 0.2×	77 0.9×	11 0.2×	19 0.3×	23	762
Ana F. Branco	458 0.9×	31 0.2×	39 0.4×	19 0.3×	86 1.3×	25	838

Countries citing papers authored by Tim Prozorovski

Since Specialization

Citations

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

Fields of papers citing papers by Tim Prozorovski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim Prozorovski. 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 Tim Prozorovski. The network helps show where Tim Prozorovski may publish in the future.

Co-authorship network of co-authors of Tim Prozorovski

This figure shows the co-authorship network connecting the top 25 collaborators of Tim Prozorovski. A scholar is included among the top collaborators of Tim Prozorovski 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 Tim Prozorovski. Tim Prozorovski 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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