C. J. Weber

33 total papers · 514 total citations
6 papers, 82 citations indexed

About

C. J. Weber is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Genetics. According to data from OpenAlex, C. J. Weber has authored 6 papers receiving a total of 82 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Endocrinology, Diabetes and Metabolism, 2 papers in Physiology and 2 papers in Genetics. Recurrent topics in C. J. Weber's work include Alcohol Consumption and Health Effects (1 paper), Hormonal Regulation and Hypertension (1 paper) and RNA Research and Splicing (1 paper). C. J. Weber is often cited by papers focused on Alcohol Consumption and Health Effects (1 paper), Hormonal Regulation and Hypertension (1 paper) and RNA Research and Splicing (1 paper). C. J. Weber collaborates with scholars based in United States, Germany and Slovakia. C. J. Weber's co-authors include Thomas Aceto, Luigi Garibaldi, Samantha Pang, Katherine L. Wilson, Andrew H. Fischer, Esther Lutgens, Robert A. Solomon, Edzard Schwedhelm, Dorothee Atzler and E. Fazzini and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, European Heart Journal and Journal of Neuropathology & Experimental Neurology.

In The Last Decade

C. J. Weber

6 papers receiving 78 citations

Author Peers

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

Author Last Decade Papers Cites
C. J. Weber 40 29 22 18 9 6 82
Stasa Stankovic 52 1.3× 11 0.4× 11 0.5× 35 1.9× 20 2.2× 6 105
Richard Foxon 66 1.6× 40 1.4× 17 0.8× 32 1.8× 36 4.0× 5 124
Yuesheng Zuo 69 1.7× 15 0.5× 6 0.3× 6 0.3× 23 2.6× 4 114
A M Simon 92 2.3× 20 0.7× 18 0.8× 12 0.7× 1 0.1× 7 109
Andrea Hunt 72 1.8× 4 0.1× 32 1.5× 32 1.8× 6 0.7× 6 110
Diane Jolley 154 3.9× 29 1.0× 60 2.7× 36 2.0× 35 3.9× 6 244
Heidi L. Gassner 26 0.7× 7 0.2× 21 1.0× 4 0.2× 8 0.9× 6 57
Chang Hai Tsai 18 0.5× 17 0.6× 11 0.5× 24 1.3× 8 77
Yohei Mizuno 102 2.5× 51 1.8× 53 2.4× 17 0.9× 29 3.2× 11 219
J. Lerman 23 0.6× 30 1.0× 166 7.5× 18 1.0× 13 1.4× 9 249

Countries citing papers authored by C. J. Weber

Since Specialization
Citations

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

Fields of papers citing papers by C. J. Weber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. J. Weber

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