Mary Gilbert

3.1k total citations · 2 hit papers
29 papers, 2.6k citations indexed

About

Mary Gilbert is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Mary Gilbert has authored 29 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 7 papers in Cell Biology. Recurrent topics in Mary Gilbert's work include Neurobiology and Insect Physiology Research (5 papers), Molecular Junctions and Nanostructures (4 papers) and Genetics, Aging, and Longevity in Model Organisms (4 papers). Mary Gilbert is often cited by papers focused on Neurobiology and Insect Physiology Research (5 papers), Molecular Junctions and Nanostructures (4 papers) and Genetics, Aging, and Longevity in Model Organisms (4 papers). Mary Gilbert collaborates with scholars based in United States, Canada and Italy. Mary Gilbert's co-authors include Klaus Ruedenberg, Stephen T. Elbert, Michael Schmidt, John P. Leonard, Johannes Hell, R. Westenbroek, T P Snutch, William A. Catterall, Michael K. Ahlijanian and Terrance P. Snutch and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and The Journal of Cell Biology.

In The Last Decade

Mary Gilbert

29 papers receiving 2.6k citations

Hit Papers

Identification and differential subcellular localization ... 1982 2026 1996 2011 1993 1982 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mary Gilbert United States 16 1.5k 1.0k 607 254 204 29 2.6k
Klaus Fendler Germany 34 2.5k 1.7× 952 0.9× 464 0.8× 129 0.5× 139 0.7× 114 3.5k
Bliss Forbush United States 25 4.2k 2.8× 1.5k 1.5× 844 1.4× 155 0.6× 169 0.8× 33 5.4k
Thomas P. Burghardt United States 28 1.7k 1.2× 240 0.2× 503 0.8× 923 3.6× 357 1.8× 120 3.2k
James A. McCray United States 18 943 0.6× 464 0.5× 190 0.3× 243 1.0× 226 1.1× 28 1.7k
Michiki Kasai Japan 30 2.4k 1.6× 943 0.9× 263 0.4× 644 2.5× 823 4.0× 100 3.6k
Tsutomu Kouyama Japan 32 2.5k 1.7× 2.1k 2.0× 429 0.7× 549 2.2× 1.1k 5.4× 87 4.4k
Wolfgang Nonner United States 35 2.0k 1.4× 1.4k 1.4× 448 0.7× 371 1.5× 30 0.1× 56 3.6k
Francis D. Carlson United States 18 1.2k 0.8× 330 0.3× 210 0.3× 304 1.2× 297 1.5× 35 2.4k
Michael L. Johnson United States 31 1.4k 1.0× 202 0.2× 463 0.8× 76 0.3× 670 3.3× 84 2.7k
Joseph P. Wuskell United States 22 913 0.6× 789 0.8× 188 0.3× 332 1.3× 71 0.3× 29 2.0k

Countries citing papers authored by Mary Gilbert

Since Specialization
Citations

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

Fields of papers citing papers by Mary Gilbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mary Gilbert

This figure shows the co-authorship network connecting the top 25 collaborators of Mary Gilbert. A scholar is included among the top collaborators of Mary 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 Mary Gilbert. Mary Gilbert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gilbert, Mary, et al.. (2023). Dissection and Immunolabeling of the Central and Peripheral Nervous System ofDrosophilaLarvae. Cold Spring Harbor Protocols. 2024(7). pdb.prot108160–pdb.prot108160. 5 indexed citations
2.
Gilbert, Mary, et al.. (2023). Whole-Larva Cryosectioning and Immunolabeling ofDrosophilaLarvae. Cold Spring Harbor Protocols. 2024(7). pdb.prot108161–pdb.prot108161. 2 indexed citations
3.
Gilbert, Mary, et al.. (2023). Cell Biology Techniques for StudyingDrosophilaPeripheral Glial Cells. Cold Spring Harbor Protocols. 2024(7). pdb.top108159–pdb.top108159. 2 indexed citations
4.
Gilbert, Mary, et al.. (2023). Proximity Ligation Assay (PLA) for Fillets ofDrosophilaLarvae. Cold Spring Harbor Protocols. 2024(7). pdb.prot108162–pdb.prot108162. 1 indexed citations
5.
Gilbert, Mary, et al.. (2016). Magi Is Associated with the Par Complex and Functions Antagonistically with Bazooka to Regulate the Apical Polarity Complex. PLoS ONE. 11(4). e0153259–e0153259. 8 indexed citations
6.
Gilbert, Mary, et al.. (2016). A Drosophila Model of HPV E6-Induced Malignancy Reveals Essential Roles for Magi and the Insulin Receptor. PLoS Pathogens. 12(8). e1005789–e1005789. 11 indexed citations
7.
Gilbert, Mary, et al.. (2012). Glial Processes at the Drosophila Larval Neuromuscular Junction Match Synaptic Growth. PLoS ONE. 7(5). e37876–e37876. 31 indexed citations
8.
Gilbert, Mary, et al.. (2009). Visualizing the Live <em>Drosophila</em> Glial-neuromuscular Junction with Fluorescent Dyes. Journal of Visualized Experiments. 3 indexed citations
9.
Rogalski, T M, Mary Gilbert, Danelle Devenport, Kenneth R. Norman, & Donald G. Moerman. (2003). DIM-1, a Novel Immunoglobulin Superfamily Protein in Caenorhabditis elegans, Is Necessary for Maintaining Bodywall Muscle Integrity. Genetics. 163(3). 905–915. 38 indexed citations
11.
Hartnett, M. Elizabeth, Mary Gilbert, Tatsuo Hirose, Thomas M. Richardson, & Osamu Katsumi. (1993). Glaucoma as a cause of poor vision in severe retinopathy of prematurity. Graefe s Archive for Clinical and Experimental Ophthalmology. 231(8). 433–438. 29 indexed citations
12.
Hartnett, M. Elizabeth, et al.. (1992). Intraocular pressure determination in infants with severe retinopathy of prematurity. Graefe s Archive for Clinical and Experimental Ophthalmology. 230(5). 406–410. 4 indexed citations
13.
Leonard, John P., et al.. (1991). Distinct calcium channels are generated by alternative splicing and are differentially expressed in the mammalian CNS. Neuron. 7(1). 45–57. 325 indexed citations
14.
Hartnett, M. Elizabeth, et al.. (1990). Anterior Segment Evaluation of Infants with Retinopathy of Prematurity. Ophthalmology. 97(1). 122–130. 28 indexed citations
15.
Jong, Ambrose, et al.. (1987). Saccharomyces Cerevisiae SSB1 Protein and its Relationship to Nucleolar RNA-Binding Proteins. Molecular and Cellular Biology. 7(8). 2947–2955. 50 indexed citations
16.
Campbell, Judith L., Martin E. Budd, Colin Gordon, et al.. (1986). Yeast DNA Replication. PubMed. 40. 463–478. 6 indexed citations
17.
Gilbert, Mary, et al.. (1985). Pictorial representation of three‐dimensional electron distributions through a perspective view of contour diagrams in a set of parallel planes. Journal of Computational Chemistry. 6(3). 209–215. 2 indexed citations
18.
Gilbert, Mary, et al.. (1983). Protective effect of vitamin E on genotoxicity of methylmercury. Journal of Toxicology and Environmental Health. 12(4-6). 767–773. 8 indexed citations
19.
Ruedenberg, Klaus, Michael W. Schmidt, & Mary Gilbert. (1982). Are atoms sic to molecular electronic wavefunctions? II. Analysis of fors orbitals. Chemical Physics. 71(1). 51–64. 149 indexed citations
20.
Chang, Louis W., et al.. (1978). Modification of methylmercury neurotoxicity by vitamin E. Environmental Research. 17(3). 356–366. 47 indexed citations

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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