Catherine Faber

1.2k total citations
8 papers, 302 citations indexed

About

Catherine Faber is a scholar working on Molecular Biology, Oncology and Physiology. According to data from OpenAlex, Catherine Faber has authored 8 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Physiology. Recurrent topics in Catherine Faber's work include Fibroblast Growth Factor Research (2 papers), Metal complexes synthesis and properties (2 papers) and Metal-Catalyzed Oxygenation Mechanisms (2 papers). Catherine Faber is often cited by papers focused on Fibroblast Growth Factor Research (2 papers), Metal complexes synthesis and properties (2 papers) and Metal-Catalyzed Oxygenation Mechanisms (2 papers). Catherine Faber collaborates with scholars based in United States, Hungary and Sweden. Catherine Faber's co-authors include Hai Xu, Tomoaki Uchiki, Chris Dealwis, Árpád Dobolyi, Mark W. Sleeman, Ted B. Usdin, J.W. Fairman, Allen B. Edmundson, H Zalkin and Luke W. Guddat and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Comparative Neurology and Genes Brain & Behavior.

In The Last Decade

Catherine Faber

8 papers receiving 296 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Catherine Faber United States 8 163 66 62 43 32 8 302
Shivashankar Khanapur Singapore 12 131 0.8× 13 0.2× 36 0.6× 57 1.3× 61 1.9× 27 324
Christelle Doebelin United States 10 129 0.8× 19 0.3× 55 0.9× 41 1.0× 26 0.8× 19 382
M. Engelen Italy 6 101 0.6× 59 0.9× 38 0.6× 60 1.4× 62 1.9× 7 388
Linnéa Schmidt Sweden 12 235 1.4× 7 0.1× 43 0.7× 68 1.6× 27 0.8× 19 478
Pasano Bojang United States 9 268 1.6× 23 0.3× 10 0.2× 30 0.7× 82 2.6× 16 357
Michał Kopczyński United States 9 179 1.1× 8 0.1× 44 0.7× 28 0.7× 39 1.2× 11 324
C.L. Johnson United States 13 308 1.9× 36 0.5× 74 1.2× 27 0.6× 155 4.8× 20 541
Francesca Burgos‐Bravo Chile 10 190 1.2× 6 0.1× 46 0.7× 19 0.4× 42 1.3× 12 430
Diem N. Nguyen United States 10 127 0.8× 21 0.3× 52 0.8× 14 0.3× 103 3.2× 14 405
Elliot D. Mock Netherlands 7 139 0.9× 7 0.1× 33 0.5× 74 1.7× 18 0.6× 11 293

Countries citing papers authored by Catherine Faber

Since Specialization
Citations

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

Fields of papers citing papers by Catherine Faber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Catherine Faber

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

All Works

8 of 8 papers shown
1.
Faber, Catherine, Zhaohai Zhu, Stephen Castellino, et al.. (2014). Cardiolipin profiles as a potential biomarker of mitochondrial health in diet‐induced obese mice subjected to exercise, diet‐restriction and ephedrine treatment. Journal of Applied Toxicology. 34(11). 1122–1129. 11 indexed citations
2.
Durrant, Jessica, Lawrence Yoon, Holly L. Jordan, et al.. (2012). Responses of brown adipose tissue to diet-induced obesity, exercise, dietary restriction and ephedrine treatment. Experimental and Toxicologic Pathology. 65(5). 549–557. 49 indexed citations
3.
Fegley, Darren, Andrew Holmes, Catherine Faber, et al.. (2008). Increased fear‐ and stress‐related anxiety‐like behavior in mice lacking tuberoinfundibular peptide of 39 residues. Genes Brain & Behavior. 7(8). 933–942. 32 indexed citations
4.
Faber, Catherine, Árpád Dobolyi, Mark W. Sleeman, & Ted B. Usdin. (2007). Distribution of tuberoinfundibular peptide of 39 residues and its receptor, parathyroid hormone 2 receptor, in the mouse brain. The Journal of Comparative Neurology. 502(4). 563–583. 38 indexed citations
5.
Xu, Hai, et al.. (2006). Structures of eukaryotic ribonucleotide reductase I provide insights into dNTP regulation. Proceedings of the National Academy of Sciences. 103(11). 4022–4027. 63 indexed citations
6.
Xu, Hai, et al.. (2006). Structures of eukaryotic ribonucleotide reductase I define gemcitabine diphosphate binding and subunit assembly. Proceedings of the National Academy of Sciences. 103(11). 4028–4033. 47 indexed citations
7.
Arvidson, Dennis N., Fu Lu, Catherine Faber, H Zalkin, & Richard G. Brennan. (1998). The structure of PurR mutant L54M shows an alternative route to DNA kinking. Nature Structural Biology. 5(6). 436–441. 24 indexed citations
8.
Faber, Catherine, Lin Shan, Luke W. Guddat, et al.. (1998). Three-dimensional structure of a human Fab with high affinity for tetanus toxoid. Immunotechnology. 3(4). 253–270. 38 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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