M.G. Hennerici

37 total papers · 1.3k total citations
8 papers, 1.1k citations indexed

About

M.G. Hennerici is a scholar working on Physiology, Surgery and Molecular Biology. According to data from OpenAlex, M.G. Hennerici has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Physiology, 1 paper in Surgery and 1 paper in Molecular Biology. Recurrent topics in M.G. Hennerici's work include Alzheimer's disease research and treatments (2 papers), Engineering and Materials Science Studies (1 paper) and Neurotransmitter Receptor Influence on Behavior (1 paper). M.G. Hennerici is often cited by papers focused on Alzheimer's disease research and treatments (2 papers), Engineering and Materials Science Studies (1 paper) and Neurotransmitter Receptor Influence on Behavior (1 paper). M.G. Hennerici collaborates with scholars based in Germany, Sweden and Czechia. M.G. Hennerici's co-authors include Klaus Faßbender, Sandra Kühl, Tobias Hartmann, Konrad Beyreuther, Patrick Keller, Dieter Lütjohann, Thomas Bertsch, Klaus von Bergmann, Heiko Runz and Christine Bergmann and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The FASEB Journal and Journal of Neural Transmission.

In The Last Decade

M.G. Hennerici

8 papers receiving 1.0k citations

Hit Papers

Simvastatin strongly redu... 2001 2026 2009 2017 2001 250 500 750

Author Peers

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

Author Last Decade Papers Cites
M.G. Hennerici 690 389 361 179 161 8 1.1k
Sandra Kühl 736 1.1× 459 1.2× 469 1.3× 193 1.1× 151 0.9× 12 1.3k
Christine Bergmann 756 1.1× 414 1.1× 378 1.0× 185 1.0× 159 1.0× 17 1.2k
Amy Deng 646 0.9× 188 0.5× 424 1.2× 112 0.6× 178 1.1× 13 996
Kate O’Connor 407 0.6× 263 0.7× 242 0.7× 65 0.4× 131 0.8× 10 925
Liming Dong 898 1.3× 312 0.8× 658 1.8× 144 0.8× 183 1.1× 18 1.4k
R. Dennis Miranda 658 1.0× 227 0.6× 536 1.5× 77 0.4× 147 0.9× 9 1.2k
Metin Bagli 519 0.8× 366 0.9× 483 1.3× 58 0.3× 103 0.6× 20 1.1k
Shweta Mandrekar 874 1.3× 207 0.5× 465 1.3× 102 0.6× 177 1.1× 8 1.3k
Ivan Fernandez‐Madrid 970 1.4× 151 0.4× 800 2.2× 149 0.8× 144 0.9× 12 1.4k
Alexei R. Koudinov 906 1.3× 316 0.8× 620 1.7× 122 0.7× 139 0.9× 26 1.4k

Countries citing papers authored by M.G. Hennerici

Since Specialization
Citations

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

Fields of papers citing papers by M.G. Hennerici

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M.G. Hennerici

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