C.-M. Becker

14 total papers · 1.0k total citations
11 papers, 882 citations indexed

About

C.-M. Becker is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, C.-M. Becker has authored 11 papers receiving a total of 882 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in C.-M. Becker's work include Neuroscience and Neuropharmacology Research (7 papers), Receptor Mechanisms and Signaling (6 papers) and Chemical Synthesis and Analysis (4 papers). C.-M. Becker is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), Receptor Mechanisms and Signaling (6 papers) and Chemical Synthesis and Analysis (4 papers). C.-M. Becker collaborates with scholars based in Germany, France and United States. C.-M. Becker's co-authors include Heinrich Betz, Gabriele Grenningloh, Bertram Schmitt, Petra Knaus, Volker Schmieden, T. Mohandas, P. H. Seeburg, Teepu Siddique, Peter R. Schofield and Werner Hoch and has published in prestigious journals such as The EMBO Journal, Biochemistry and Annals of the New York Academy of Sciences.

In The Last Decade

C.-M. Becker

11 papers receiving 869 citations

Author Peers

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

Author						Papers	Cites
C.-M. Becker	733	536	93	78	59	11	882
PF Bartlett	439 0.6×	435 0.8×	71 0.8×	55 0.7×	84 1.4×	16	855
Lauren M. Tanabe	402 0.5×	554 1.0×	68 0.7×	85 1.1×	64 1.1×	17	989
Meike Pauly-Evers	483 0.7×	412 0.8×	121 1.3×	93 1.2×	52 0.9×	16	994
Ralph Seidenfaden	531 0.7×	367 0.7×	55 0.6×	162 2.1×	70 1.2×	10	965
Jurgen F.M. Vanhauwe	594 0.8×	301 0.6×	34 0.4×	80 1.0×	40 0.7×	10	789
Xuejun Tian	526 0.7×	269 0.5×	54 0.6×	126 1.6×	129 2.2×	20	781
Walter Strapps	713 1.0×	212 0.4×	71 0.8×	99 1.3×	74 1.3×	13	965
Elizabeth Pasnikowski	527 0.7×	381 0.7×	149 1.6×	69 0.9×	146 2.5×	12	1.0k
Gui Su	549 0.7×	332 0.6×	92 1.0×	243 3.1×	138 2.3×	12	986
Mahesh B. Lachyankar	580 0.8×	349 0.7×	87 0.9×	68 0.9×	105 1.8×	14	955

Countries citing papers authored by C.-M. Becker

Since Specialization

Citations

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

Fields of papers citing papers by C.-M. Becker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.-M. Becker. 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 C.-M. Becker. The network helps show where C.-M. Becker may publish in the future.

Co-authorship network of co-authors of C.-M. Becker

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