D.A. Gilbert

1.4k citations
51 papers · 1.0k · h-index 17

Impact in

Papers in

    • Gene Regulatory Network Analysis 6
    • Protein Structure and Dynamics 5
    • Mitochondrial Function and Pathology 5
    • Microtubule and mitosis dynamics 5

D.A. Gilbert

50 papers receiving 902 citations

Peers

D.A. Gilbert
Comparison fields: 5 of 122
  • Pharmacology 132
  • Clinical Biochemistry 47
  • Cancer Research 104
  • Molecular Biology 425
  • Biochemistry 43
Replace Hiromi Maruyama with:
Hiromi Maruyama Japan
Kyoko Tanaka Japan
Robert Tonge United Kingdom
Jean-Loïc Le Net France
Patrick Hayden United States
Geping Wang China
Mingxin Li China
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Citations per field
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Citations per year

Countries citing papers authored by D.A. Gilbert

Since Specialization
Citations

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

Fields of papers citing papers by D.A. Gilbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside D.A. Gilbert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D.A. Gilbert Line = papers co-authored together D.A. Gilbert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1965190
2
The human tumour suppressor gene p53 is alternatively spliced in normal cells.
199675
3 198751
4 196549
5 200445
6 196742
7 196837
8 196932
9 196531
10 197431
11 199628
12 195826
13 199124
14 199422
15 195822
16 198617
17 197116
18
The cell cycle 1981: One or more limit cycle oscillations?
198115
19 198915
20 199414

About D.A. Gilbert

D.A. Gilbert is a scholar working on Molecular Biology, Cell Biology, Physiology, Spectroscopy and Cellular and Molecular Neuroscience, having authored 51 papers that have together received 1.0k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (6 papers), Protein Structure and Dynamics (5 papers), Microtubule and mitosis dynamics (5 papers), Mitochondrial Function and Pathology (5 papers), Photoreceptor and optogenetics research (5 papers), Plant and Biological Electrophysiology Studies (4 papers), Erythrocyte Function and Pathophysiology (3 papers) and Mass Spectrometry Techniques and Applications (3 papers). The work is most often cited by research in Pharmacology (132 citations), Clinical Biochemistry (47 citations), Cancer Research (104 citations), Molecular Biology (425 citations) and Biochemistry (43 citations). D.A. Gilbert has collaborated with scholars based in South Africa, United Kingdom and United States. Frequent co-authors include L. Golberg, K. D. Hammond, I.F. Gaunt, John Baker, Gary L. Schechter, E. W. Yemm, G. Feuer, D. Martin, Jean‐Michel Flaman and Anne Vannier. Their work appears in journals such as Biosystems, Nature, Cell Biology International, South African Journal of Science and Biochemical Journal.

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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