David Gubb

4.2k total citations · 1 hit paper
41 papers, 3.0k citations indexed

About

David Gubb is a scholar working on Molecular Biology, Immunology and Cellular and Molecular Neuroscience. According to data from OpenAlex, David Gubb has authored 41 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 14 papers in Immunology and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in David Gubb's work include Developmental Biology and Gene Regulation (16 papers), Invertebrate Immune Response Mechanisms (14 papers) and Insect Resistance and Genetics (11 papers). David Gubb is often cited by papers focused on Developmental Biology and Gene Regulation (16 papers), Invertebrate Immune Response Mechanisms (14 papers) and Insect Resistance and Genetics (11 papers). David Gubb collaborates with scholars based in United Kingdom, France and Spain. David Gubb's co-authors include Antonio Garcı́a-Bellido, David Tree, Michael Ashburner, Jean‐Marc Reichhart, Clare Green, Jules A. Hoffmann, Simon Collier, Jeffrey D. Axelrod, Elena A. Levashina and John Roote and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

David Gubb

41 papers receiving 3.0k citations

Hit Papers

Constitutive Activation of Toll-Mediated Antifungal Defen... 1999 2026 2008 2017 1999 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Gubb United Kingdom 25 2.0k 894 796 596 501 41 3.0k
Miklós Sass Hungary 28 1.5k 0.7× 784 0.9× 459 0.6× 471 0.8× 303 0.6× 65 3.4k
Michael Hoch Germany 32 2.5k 1.2× 601 0.7× 465 0.6× 646 1.1× 275 0.5× 66 3.4k
Casey Kopczynski United States 31 2.0k 1.0× 606 0.7× 704 0.9× 824 1.4× 430 0.9× 74 4.1k
Jacques Montagne France 22 1.7k 0.8× 378 0.4× 563 0.7× 898 1.5× 354 0.7× 42 2.9k
Richard Binari United States 29 3.0k 1.5× 691 0.8× 1.1k 1.3× 1.1k 1.8× 331 0.7× 40 4.5k
Juan R. Riesgo‐Escovar Mexico 24 1.5k 0.7× 510 0.6× 383 0.5× 867 1.5× 346 0.7× 48 2.5k
Lizabeth A. Perkins United States 28 2.8k 1.4× 814 0.9× 609 0.8× 907 1.5× 187 0.4× 37 4.0k
Felix Karim United States 19 2.1k 1.0× 487 0.5× 579 0.7× 1.3k 2.2× 399 0.8× 22 3.1k
David A. Wassarman United States 30 3.0k 1.5× 472 0.5× 503 0.6× 549 0.9× 120 0.2× 68 3.9k
Hyung Don Ryoo United States 34 3.1k 1.5× 1.5k 1.7× 639 0.8× 657 1.1× 141 0.3× 56 4.2k

Countries citing papers authored by David Gubb

Since Specialization
Citations

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

Fields of papers citing papers by David Gubb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Gubb

This figure shows the co-authorship network connecting the top 25 collaborators of David Gubb. A scholar is included among the top collaborators of David Gubb 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 David Gubb. David Gubb 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.
Ehaideb, Salleh N., Atsushi Ueda, Gary J. Iacobucci, et al.. (2014). prickle modulates microtubule polarity and axonal transport to ameliorate seizures in flies. Proceedings of the National Academy of Sciences. 111(30). 11187–11192. 46 indexed citations
2.
Reichhart, Jean Marc, David Gubb, & Vincent Leclerc. (2011). The Drosophila Serpins. Methods in enzymology on CD-ROM/Methods in enzymology. 499. 205–225. 45 indexed citations
3.
Jiang, Rui, Eun-Hye Kim, Hyun‐Mi Kwon, et al.. (2009). Three Pairs of Protease-Serpin Complexes Cooperatively Regulate the Insect Innate Immune Responses. Journal of Biological Chemistry. 284(51). 35652–35658. 90 indexed citations
4.
Fullaondo, Ane, et al.. (2009). Identification and analysis of serpin-family genes by homology and synteny across the 12 sequenced Drosophilid genomes. BMC Genomics. 10(1). 489–489. 32 indexed citations
5.
Lin, Yung‐Yao & David Gubb. (2008). Molecular dissection of Drosophila Prickle isoforms distinguishes their essential and overlapping roles in planar cell polarity. Developmental Biology. 325(2). 386–399. 15 indexed citations
6.
Pelte, Nadège, A. Robertson, Zhen Zou, et al.. (2005). Immune challenge induces N-terminal cleavage of the Drosophila serpin Necrotic. Insect Biochemistry and Molecular Biology. 36(1). 37–46. 20 indexed citations
7.
Davis, Terence, Michael Ashburner, Glynnis Johnson, David Gubb, & John Roote. (2004). Genetic and Phenotypic Analysis of the Genes of the Elbow-no-Ocelli Region of Chromosome 2L of Dvosophila Melanogaster. Hereditas. 126(1). 67–75. 6 indexed citations
8.
Robertson, A., Didier Belorgey, Kathryn S. Lilley, et al.. (2003). Characterization of the Necrotic Protein That Regulates the Toll-mediated Immune Response in Drosophila. Journal of Biological Chemistry. 278(8). 6175–6180. 29 indexed citations
9.
Naitza, Silvia, Carine Rossé, Christine Kappler, et al.. (2002). The Drosophila Immune Defense against Gram-Negative Infection Requires the Death Protein dFADD. Immunity. 17(5). 575–581. 126 indexed citations
10.
Reichhart, Jean‐Marc, et al.. (2002). Splice‐activated UAS hairpin vector gives complete RNAi knockout of single or double target transcripts in drosophila melanogaster. genesis. 34(1-2). 160–164. 33 indexed citations
11.
Gourzi, Polyxeni, David Gubb, Carlos Cáceres, et al.. (2000). The construction of the first balancer chromosome for the Mediterranean fruit fly, Ceratitis capitata. Molecular and General Genetics MGG. 264(1-2). 127–136. 18 indexed citations
12.
Chae, Jeiwook, Maengjo Kim, Jae Hwan Goo, et al.. (1999). The Drosophila tissue polarity gene starry night encodes a member of the protocadherin family. Development. 126(23). 5421–5429. 216 indexed citations
14.
Gubb, David. (1998). Cellular polarity, mitotic synchrony and axes of symmetry during growth. Where does the information come from?. The International Journal of Developmental Biology. 42(3). 369–377. 14 indexed citations
15.
Heitzler, Pascal, Maria Teresa Sáenz-Robles, Michael Ashburner, et al.. (1993). Genetic and cytogenetic analysis of the 43A-E region containing the segment polarity gene costa and the cellular polarity genes prickle and spiny-legs in Drosophila melanogaster.. Genetics. 135(1). 105–115. 56 indexed citations
16.
Gubb, David, et al.. (1990). A novel transvection phenomenon affecting the white gene of Drosophila melanogaster.. Genetics. 126(1). 167–176. 15 indexed citations
17.
18.
Gubb, David. (1985). Further studies onengrailed mutants inDrosophila melanogaster. Development Genes and Evolution. 194(4). 236–246. 24 indexed citations
19.
Gubb, David, et al.. (1985). A preliminary genetic analysis of TE146, a very large transposing element of Drosophila melanogaster. Chromosoma. 92(2). 116–123. 13 indexed citations
20.
Gubb, David & Antonio Garcı́a-Bellido. (1982). A genetic analysis of the determination of cuticular polarity during development inDrosophila melanogaster. Development. 68(1). 37–57. 300 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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