Gregory W. deHart

13 total papers · 867 total citations
12 papers, 704 citations indexed

About

Gregory W. deHart is a scholar working on Cell Biology, Immunology and Allergy and Molecular Biology. According to data from OpenAlex, Gregory W. deHart has authored 12 papers receiving a total of 704 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cell Biology, 6 papers in Immunology and Allergy and 4 papers in Molecular Biology. Recurrent topics in Gregory W. deHart's work include Cell Adhesion Molecules Research (6 papers), Cellular Mechanics and Interactions (5 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Gregory W. deHart is often cited by papers focused on Cell Adhesion Molecules Research (6 papers), Cellular Mechanics and Interactions (5 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Gregory W. deHart collaborates with scholars based in United States. Gregory W. deHart's co-authors include Jonathan Jones, Susan B. Hopkinson, Lawrence E. Goldfinger, Jason S. Rush, Carolyn R. Bertozzi, Peng Wu, David Rabuka, John Couchman, Sherry S. Collawn and Kevin E. Healy and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Cell Science and Nature Protocols.

In The Last Decade

Gregory W. deHart

12 papers receiving 678 citations

Author Peers

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

Author Last Decade Papers Cites
Gregory W. deHart 300 291 258 150 120 12 704
P Rossino 318 1.1× 375 1.3× 229 0.9× 66 0.4× 80 0.7× 16 725
Cristina Vaschieri 223 0.7× 164 0.6× 125 0.5× 45 0.3× 116 1.0× 19 771
Tara Pouyani 325 1.1× 214 0.7× 243 0.9× 79 0.5× 58 0.5× 11 710
Charlotte Wiberg 313 1.0× 235 0.8× 285 1.1× 56 0.4× 36 0.3× 14 816
Sonja M. Markwart 459 1.5× 320 1.1× 89 0.3× 96 0.6× 240 2.0× 15 846
Keizo Yamamura 347 1.2× 295 1.0× 178 0.7× 169 1.1× 141 1.2× 17 824
Chang‐Jing G. Yeh 247 0.8× 146 0.5× 193 0.7× 95 0.6× 67 0.6× 21 746
Margaret F. Ware 505 1.7× 161 0.6× 312 1.2× 62 0.4× 165 1.4× 7 861
Laurence Cadalbert 435 1.4× 328 1.1× 247 1.0× 26 0.2× 89 0.7× 11 781
Svetlana Shuster 378 1.3× 84 0.3× 342 1.3× 46 0.3× 91 0.8× 21 840

Countries citing papers authored by Gregory W. deHart

Since Specialization
Citations

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

Fields of papers citing papers by Gregory W. deHart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregory W. deHart

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory W. deHart. A scholar is included among the top collaborators of Gregory W. deHart 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 W. deHart. Gregory W. deHart 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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