Gregory E. Osborn

787 total citations
8 papers, 591 citations indexed

About

Gregory E. Osborn is a scholar working on Molecular Biology, Cell Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Gregory E. Osborn has authored 8 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cell Biology and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Gregory E. Osborn's work include Cellular Mechanics and Interactions (3 papers), Genetics and Neurodevelopmental Disorders (2 papers) and Cardiomyopathy and Myosin Studies (2 papers). Gregory E. Osborn is often cited by papers focused on Cellular Mechanics and Interactions (3 papers), Genetics and Neurodevelopmental Disorders (2 papers) and Cardiomyopathy and Myosin Studies (2 papers). Gregory E. Osborn collaborates with scholars based in United States and South Africa. Gregory E. Osborn's co-authors include Susan M. Parkhurst, Elena V. Linardopoulou, Barbara J. Trask, Sean S Parghi, Cynthia Friedman, Erika L.F. Holzbaur, Armen J. Moughamian, Jacob E. Lazarus, Raymond Liu and Eric Wexler and has published in prestigious journals such as Journal of Neuroscience, Development and PLoS Genetics.

In The Last Decade

Gregory E. Osborn

8 papers receiving 586 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gregory E. Osborn United States 7 347 281 131 70 65 8 591
Kelly A. Vranich United States 10 289 0.8× 322 1.1× 42 0.3× 80 1.1× 42 0.6× 12 685
Gavin Craig United Kingdom 7 249 0.7× 221 0.8× 70 0.5× 53 0.8× 34 0.5× 8 449
Batiste Boëda France 10 471 1.4× 355 1.3× 47 0.4× 34 0.5× 53 0.8× 17 889
Micha Nethe Netherlands 12 447 1.3× 194 0.7× 109 0.8× 31 0.4× 63 1.0× 17 784
Qiangge Zhang United States 12 509 1.5× 258 0.9× 260 2.0× 151 2.2× 114 1.8× 18 808
Erich T. Boger United States 17 723 2.1× 141 0.5× 80 0.6× 41 0.6× 130 2.0× 24 1.3k
Dominique Larget‐Piet France 5 760 2.2× 194 0.7× 78 0.6× 84 1.2× 63 1.0× 8 1.0k
Jan Reiners Germany 7 560 1.6× 121 0.4× 81 0.6× 91 1.3× 30 0.5× 8 720
Sougata Roy United States 14 687 2.0× 293 1.0× 136 1.0× 211 3.0× 25 0.4× 31 905
Jonathan E. Bird United States 14 402 1.2× 166 0.6× 46 0.4× 32 0.5× 111 1.7× 24 802

Countries citing papers authored by Gregory E. Osborn

Since Specialization
Citations

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

Fields of papers citing papers by Gregory E. Osborn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory E. Osborn. 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 Gregory E. Osborn. The network helps show where Gregory E. Osborn may publish in the future.

Co-authorship network of co-authors of Gregory E. Osborn

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory E. Osborn. A scholar is included among the top collaborators of Gregory E. Osborn 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 Gregory E. Osborn. Gregory E. Osborn 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.
Moughamian, Armen J., et al.. (2013). Ordered Recruitment of Dynactin to the Microtubule Plus-End is Required for Efficient Initiation of Retrograde Axonal Transport. Journal of Neuroscience. 33(32). 13190–13203. 119 indexed citations
2.
Mukamel, Zohar, Geneviève Konopka, Eric Wexler, et al.. (2011). Regulation of MET by FOXP2, Genes Implicated in Higher Cognitive Dysfunction and Autism Risk. Journal of Neuroscience. 31(32). 11437–11442. 79 indexed citations
3.
Konopka, Geneviève, Eric Wexler, Evan D. Rosen, et al.. (2011). Modeling the functional genomics of autism using human neurons. Molecular Psychiatry. 17(2). 202–214. 65 indexed citations
4.
Wexler, Eric, Ezra Y. Rosen, Daning Lu, et al.. (2011). Genome-Wide Analysis of a Wnt1-Regulated Transcriptional Network Implicates Neurodegenerative Pathways. Science Signaling. 4(193). ra65–ra65. 41 indexed citations
5.
Liu, Raymond, et al.. (2009). Wash functions downstream of Rho and links linear and branched actin nucleation factors. Development. 136(16). 2849–2860. 88 indexed citations
6.
Liu, Raymond, Elena V. Linardopoulou, Gregory E. Osborn, & Susan M. Parkhurst. (2008). Formins in development: Orchestrating body plan origami. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1803(2). 207–225. 33 indexed citations
7.
Linardopoulou, Elena V., Sean S Parghi, Cynthia Friedman, et al.. (2007). Human Subtelomeric WASH Genes Encode a New Subclass of the WASP Family. PLoS Genetics. 3(12). e237–e237. 165 indexed citations
8.
Linardopoulou, Elena V., Sean S Parghi, Cynthia Friedman, et al.. (2005). Human subtelomeric WASH genes encode a new subclass of the WASP family. PLoS Genetics. preprint(2007). e221–e221. 1 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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