Martin Rüdiger

21 total papers · 1.2k total citations
14 papers, 316 citations indexed

About

Martin Rüdiger is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Martin Rüdiger has authored 14 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Martin Rüdiger's work include Neuroscience and Neuropharmacology Research (4 papers), Receptor Mechanisms and Signaling (4 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Martin Rüdiger is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Receptor Mechanisms and Signaling (4 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Martin Rüdiger collaborates with scholars based in United Kingdom, Germany and United States. Martin Rüdiger's co-authors include Dieter Oesterhelt, Ulrich Haupts, Klaus Gerwert, Andrew J. Pope, Keith J. M. Moore, Jörg Tittor, Juan F. López‐Giménez, Lucien Gazi, Jonathan P. Hutchinson and Philip G. Strange and has published in prestigious journals such as The EMBO Journal, Biochemistry and Biochemical Journal.

In The Last Decade

Martin Rüdiger

14 papers receiving 285 citations

Author Peers

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

Author						Papers	Cites
Martin Rüdiger	210	144	52	36	34	14	316
Louis-Philippe Picard	263 1.3×	102 0.7×	32 0.6×	39 1.1×	37 1.1×	12	322
Elaine J. Adie	244 1.2×	140 1.0×	24 0.5×	57 1.6×	23 0.7×	13	363
Anna Pia Plazzo	244 1.2×	62 0.4×	25 0.5×	14 0.4×	39 1.1×	10	364
Luca F. Pisterzi	223 1.1×	136 0.9×	56 1.1×	35 1.0×	10 0.3×	18	345
S. Kalinka	177 0.8×	57 0.4×	25 0.5×	57 1.6×	40 1.2×	10	360
Flaviu Gruia	214 1.0×	52 0.4×	34 0.7×	38 1.1×	15 0.4×	13	325
Morgane Agez	319 1.5×	42 0.3×	25 0.5×	16 0.4×	21 0.6×	10	361
You Zhuo	235 1.1×	76 0.5×	31 0.6×	28 0.8×	32 0.9×	18	335
James J. McCann	249 1.2×	44 0.3×	60 1.2×	22 0.6×	26 0.8×	12	341
Jeta Ramadani‐Muja	212 1.0×	57 0.4×	40 0.8×	53 1.5×	39 1.1×	11	343

Countries citing papers authored by Martin Rüdiger

Since Specialization

Citations

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

Fields of papers citing papers by Martin Rüdiger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Rüdiger

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