G. Glenn Gregorio

10 total papers · 1.5k total citations
8 papers, 1.2k citations indexed

About

G. Glenn Gregorio is a scholar working on Molecular Biology, Biophysics and Cellular and Molecular Neuroscience. According to data from OpenAlex, G. Glenn Gregorio has authored 8 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Biophysics and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in G. Glenn Gregorio's work include Advanced Fluorescence Microscopy Techniques (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Receptor Mechanisms and Signaling (2 papers). G. Glenn Gregorio is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Receptor Mechanisms and Signaling (2 papers). G. Glenn Gregorio collaborates with scholars based in United States, Denmark and Japan. G. Glenn Gregorio's co-authors include Wayne A. Hendrickson, Natacha Bitton, Dan R. Littman, Douglas S. Kwon, Qun Liu, Romina Mancusso, Da‐Neng Wang, Chuan Xiao, Elena Pokidysheva and Richard Kühn and has published in prestigious journals such as Nature, Cell and Journal of Biological Chemistry.

In The Last Decade

G. Glenn Gregorio

7 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
G. Glenn Gregorio 533 333 308 275 223 8 1.2k
Arnaud Gruez 654 1.2× 286 0.9× 89 0.3× 267 1.0× 207 0.9× 31 1.5k
Gregory P. McNerney 458 0.9× 231 0.7× 364 1.2× 156 0.6× 119 0.5× 16 1.3k
S. Moses Dennison 620 1.2× 422 1.3× 560 1.8× 181 0.7× 61 0.3× 35 1.3k
Jia-huai Wang 583 1.1× 467 1.4× 603 2.0× 339 1.2× 28 0.1× 8 1.4k
Feng Yang 776 1.5× 131 0.4× 102 0.3× 130 0.5× 68 0.3× 21 1.3k
James Merson 638 1.2× 196 0.6× 400 1.3× 490 1.8× 44 0.2× 27 1.4k
Caroline Smith‐Burchnell 347 0.7× 337 1.0× 948 3.1× 729 2.7× 97 0.4× 12 1.4k
Paolo Ingallinella 527 1.0× 163 0.5× 329 1.1× 427 1.6× 23 0.1× 27 1.2k
Stéphane Pêtres 587 1.1× 266 0.8× 89 0.3× 380 1.4× 603 2.7× 34 1.5k
Paula Flicker 778 1.5× 89 0.3× 99 0.3× 189 0.7× 206 0.9× 19 1.4k

Countries citing papers authored by G. Glenn Gregorio

Since Specialization
Citations

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

Fields of papers citing papers by G. Glenn Gregorio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Glenn Gregorio. 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 G. Glenn Gregorio. The network helps show where G. Glenn Gregorio may publish in the future.

Co-authorship network of co-authors of G. Glenn Gregorio

This figure shows the co-authorship network connecting the top 25 collaborators of G. Glenn Gregorio. A scholar is included among the top collaborators of G. Glenn Gregorio 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 G. Glenn Gregorio. G. Glenn Gregorio 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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