C. Ruppert

968 total citations
10 papers, 757 citations indexed

About

C. Ruppert is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Neurology. According to data from OpenAlex, C. Ruppert has authored 10 papers receiving a total of 757 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Cardiology and Cardiovascular Medicine and 2 papers in Neurology. Recurrent topics in C. Ruppert's work include Muscle Physiology and Disorders (3 papers), Cardiomyopathy and Myosin Studies (3 papers) and Glycosylation and Glycoproteins Research (2 papers). C. Ruppert is often cited by papers focused on Muscle Physiology and Disorders (3 papers), Cardiomyopathy and Myosin Studies (3 papers) and Glycosylation and Glycoproteins Research (2 papers). C. Ruppert collaborates with scholars based in Germany and United States. C. Ruppert's co-authors include Martin Bähler, Wolfgang Wille, Ruth Kroschewski, Dan Goldowitz, Marie-Josée Santoni, Marie‐Rose Hirsch, Christo Goridis, Dagmar Barthels, Julie Chaix and J.C. Fontecilla-Camps and has published in prestigious journals such as Journal of Neuroscience, The Journal of Cell Biology and The EMBO Journal.

In The Last Decade

C. Ruppert

10 papers receiving 744 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
C. Ruppert Germany	9	578	258	220	117	73	10	757
Hervé Pointu France	11	855 1.5×	368 1.4×	135 0.6×	138 1.2×	56 0.8×	12	1.2k
Sylvie Diriong France	12	575 1.0×	170 0.7×	57 0.3×	195 1.7×	42 0.6×	17	756
Enni Bertling Finland	11	319 0.6×	383 1.5×	103 0.5×	110 0.9×	70 1.0×	12	692
Hilary J. Gower United Kingdom	9	535 0.9×	162 0.6×	47 0.2×	195 1.7×	92 1.3×	13	751
Aliana Egeo Italy	12	691 1.2×	319 1.2×	139 0.6×	84 0.7×	16 0.2×	15	842
Cong Yu China	16	700 1.2×	401 1.6×	118 0.5×	166 1.4×	132 1.8×	46	1.0k
Cynthia R. Pennise United States	7	392 0.7×	431 1.7×	357 1.6×	79 0.7×	26 0.4×	8	752
David F. Daggett United States	12	586 1.0×	286 1.1×	78 0.4×	82 0.7×	58 0.8×	15	714
Soo‐Siang Lim United States	13	417 0.7×	531 2.1×	44 0.2×	98 0.8×	64 0.9×	17	786
Françoise Landon France	15	326 0.6×	292 1.1×	52 0.2×	84 0.7×	18 0.2×	17	587

Countries citing papers authored by C. Ruppert

Since Specialization

Citations

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

Fields of papers citing papers by C. Ruppert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Ruppert

This figure shows the co-authorship network connecting the top 25 collaborators of C. Ruppert. A scholar is included among the top collaborators of C. Ruppert 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. Ruppert. C. Ruppert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Ruppert, C., et al.. (1995). Localization of the rat myosin I molecules myr 1 and myr 2 and in vivo targeting of their tail domains. Journal of Cell Science. 108(12). 3775–3786. 95 indexed citations

Ruppert, C., et al.. (1995). A novel mammalian myosin I from rat with an SH3 domain localizes to Con A-inducible, F-actin-rich structures at cell-cell contacts.. The Journal of Cell Biology. 129(3). 819–830. 53 indexed citations

Diekmann, Dagmar, et al.. (1995). A novel type of myosin implicated in signalling by rho family GTPases.. The EMBO Journal. 14(4). 697–704. 144 indexed citations

Ruppert, C., Anthony Sandrasagra, Benito Antón, et al.. (1993). Rat‐1 Fibroblasts Engineered with GAD₆₅ and GAD₆₇ cDNAs in Retroviral Vectors Produce and Release GABA. Journal of Neurochemistry. 61(2). 768–771. 16 indexed citations

Ruppert, C., Ruth Kroschewski, & Martin Bähler. (1993). Identification, characterization and cloning of myr 1, a mammalian myosin-I.. The Journal of Cell Biology. 120(6). 1393–1403. 99 indexed citations

Heinlein, Uwe A.O., C. Ruppert, & Wolfgang Wille. (1987). Staggerer-specific protein SP47: A unique species among age- and genotype-dependent cerebellar proteins. Neurochemical Research. 12(1). 53–60. 4 indexed citations

Ruppert, C. & Wolfgang Wille. (1987). Proto-oncogene c-fos is highly induced by disruption of neonatal but not of mature brain tissue. Molecular Brain Research. 2(1). 51–56. 38 indexed citations

Barthels, Dagmar, Marie-Josée Santoni, Wolfgang Wille, et al.. (1987). Isolation and nucleotide sequence of mouse NCAM cDNA that codes for a Mr 79,000 polypeptide without a membrane-spanning region.. The EMBO Journal. 6(4). 907–914. 211 indexed citations

Schaal, Heiner, Dan Goldowitz, Axel Unterbeck, et al.. (1987). A highly abundant transcript in adult murine cerebellar granule cells contains repetitive sequences homologous to L1. Journal of Neuroscience. 7(7). 2041–2048. 10 indexed citations

10.

Ruppert, C., Dan Goldowitz, & Wolfgang Wille. (1986). Proto-oncogene c-myc is expressed in cerebellar neurons at different developmental stages.. The EMBO Journal. 5(8). 1897–1901. 87 indexed citations

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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