Gerald W. De Vries

25 total papers · 513 total citations
22 papers, 434 citations indexed

About

Gerald W. De Vries is a scholar working on Molecular Biology, Ophthalmology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Gerald W. De Vries has authored 22 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Ophthalmology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Gerald W. De Vries's work include Retinal Development and Disorders (7 papers), Retinal Diseases and Treatments (6 papers) and Neuroscience and Neuropharmacology Research (3 papers). Gerald W. De Vries is often cited by papers focused on Retinal Development and Disorders (7 papers), Retinal Diseases and Treatments (6 papers) and Neuroscience and Neuropharmacology Research (3 papers). Gerald W. De Vries collaborates with scholars based in United States and Ireland. Gerald W. De Vries's co-authors include A.P. McLaughlin, Suofu Qin, James A. Ferrendelli, James E. Woods, Robert C. Thommes, L. A. Wheeler, O. H. Lowry, Adolph I. Cohen, Alexander H. Friedman and Larry A. Wheeler and has published in prestigious journals such as Journal of Biological Chemistry, Brain Research and Methods in enzymology on CD-ROM/Methods in enzymology.

In The Last Decade

Gerald W. De Vries

22 papers receiving 419 citations

Author Peers

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

Author Last Decade Papers Cites
Gerald W. De Vries 263 104 95 40 39 22 434
Wan-Sung Choi 174 0.7× 75 0.7× 73 0.8× 30 0.8× 14 0.4× 14 376
Siret D. Jaanus 175 0.7× 30 0.3× 110 1.2× 86 2.1× 19 0.5× 28 409
Alice Brandli 152 0.6× 132 1.3× 84 0.9× 17 0.4× 16 0.4× 29 424
J. F. Wagner 215 0.8× 41 0.4× 189 2.0× 59 1.5× 20 0.5× 12 463
Anne Tormay 207 0.8× 116 1.1× 131 1.4× 88 2.2× 7 0.2× 21 475
Yali Xu 190 0.7× 13 0.1× 72 0.8× 35 0.9× 35 0.9× 26 448
Dongmei Liu 261 1.0× 38 0.4× 36 0.4× 42 1.1× 10 0.3× 26 385
María Martín‐Estebané 117 0.4× 47 0.5× 38 0.4× 133 3.3× 15 0.4× 14 437
M. M. Magalhães 210 0.8× 23 0.2× 74 0.8× 60 1.5× 4 0.1× 30 386
Rocío Salceda 194 0.7× 59 0.6× 150 1.6× 88 2.2× 15 0.4× 21 395

Countries citing papers authored by Gerald W. De Vries

Since Specialization
Citations

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

Fields of papers citing papers by Gerald W. De Vries

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerald W. De Vries. 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 Gerald W. De Vries. The network helps show where Gerald W. De Vries may publish in the future.

Co-authorship network of co-authors of Gerald W. De Vries

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