Debra J. Gilbert

19 total papers · 1.4k total citations
19 papers, 1.2k citations indexed

About

Debra J. Gilbert is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Debra J. Gilbert has authored 19 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Cell Biology and 4 papers in Immunology. Recurrent topics in Debra J. Gilbert's work include RNA Research and Splicing (4 papers), Genomics and Chromatin Dynamics (4 papers) and TGF-β signaling in diseases (2 papers). Debra J. Gilbert is often cited by papers focused on RNA Research and Splicing (4 papers), Genomics and Chromatin Dynamics (4 papers) and TGF-β signaling in diseases (2 papers). Debra J. Gilbert collaborates with scholars based in United States, Japan and Germany. Debra J. Gilbert's co-authors include Neal G. Copeland, Nancy A. Jenkins, Dirk Anderson, Peter Donovan, David Cosman, Nancy A. Jenkins, N G Copeland, Nancy A. Jenkins, Neal G. Copeland and Neal G. Copeland and has published in prestigious journals such as Cell, Nucleic Acids Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Debra J. Gilbert

19 papers receiving 1.1k citations

Hit Papers

Mast cell growth factor m... 1990 2026 2002 2014 1990 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Debra J. Gilbert 706 343 201 194 130 19 1.2k
Holger Kissel 829 1.2× 368 1.1× 219 1.1× 147 0.8× 175 1.3× 13 1.5k
K Letwin 1.0k 1.4× 252 0.7× 125 0.6× 292 1.5× 223 1.7× 12 1.4k
R.L. Eddy 873 1.2× 142 0.4× 202 1.0× 177 0.9× 231 1.8× 18 1.4k
Marie‐Hélène Prandini 728 1.0× 150 0.4× 99 0.5× 191 1.0× 68 0.5× 16 1.1k
Clair Kelley 933 1.3× 238 0.7× 147 0.7× 390 2.0× 78 0.6× 20 1.4k
Jovencio Borneo 587 0.8× 594 1.7× 81 0.4× 198 1.0× 212 1.6× 13 1.3k
Nieves Movilla 816 1.2× 197 0.6× 87 0.4× 255 1.3× 176 1.4× 19 1.2k
Tomoko Matsuzaki 1.0k 1.5× 122 0.4× 118 0.6× 239 1.2× 304 2.3× 23 1.4k
Sucai Dong 832 1.2× 225 0.7× 138 0.7× 307 1.6× 112 0.9× 16 1.4k
Valérie Lemarchandel 649 0.9× 246 0.7× 82 0.4× 179 0.9× 180 1.4× 17 1.2k

Countries citing papers authored by Debra J. Gilbert

Since Specialization
Citations

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

Fields of papers citing papers by Debra J. Gilbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Debra J. Gilbert. 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 Debra J. Gilbert. The network helps show where Debra J. Gilbert may publish in the future.

Co-authorship network of co-authors of Debra J. Gilbert

This figure shows the co-authorship network connecting the top 25 collaborators of Debra J. Gilbert. A scholar is included among the top collaborators of Debra J. Gilbert 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 Debra J. Gilbert. Debra J. Gilbert 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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