Andrew J. Andres

1.3k total citations
19 papers, 1.0k citations indexed

About

Andrew J. Andres is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Andrew J. Andres has authored 19 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cellular and Molecular Neuroscience, 13 papers in Molecular Biology and 4 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Andrew J. Andres's work include Neurobiology and Insect Physiology Research (12 papers), Animal Behavior and Reproduction (3 papers) and Invertebrate Immune Response Mechanisms (3 papers). Andrew J. Andres is often cited by papers focused on Neurobiology and Insect Physiology Research (12 papers), Animal Behavior and Reproduction (3 papers) and Invertebrate Immune Response Mechanisms (3 papers). Andrew J. Andres collaborates with scholars based in United States and France. Andrew J. Andres's co-authors include Carl S. Thummel, Jennifer C. Fletcher, Felix Karim, Asaf Presente, Peter Cherbas, Martina Vašková, J. Steven de Belle, Jeffrey S. Nye, Yun Lu and Assel Biyasheva and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Development.

In The Last Decade

Andrew J. Andres

19 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew J. Andres United States 14 637 537 219 219 207 19 1.0k
Ian J. H. Roberts United Kingdom 13 588 0.9× 546 1.0× 136 0.6× 229 1.0× 157 0.8× 18 1.2k
Margrit Schubiger United States 18 792 1.2× 599 1.1× 258 1.2× 277 1.3× 175 0.8× 24 1.2k
Fengqiu Diao United States 16 706 1.1× 359 0.7× 190 0.9× 246 1.1× 178 0.9× 24 972
Zhengmei Mao United States 8 749 1.2× 371 0.7× 157 0.7× 261 1.2× 227 1.1× 10 1.1k
Pei-Tseng Lee United States 14 584 0.9× 466 0.9× 137 0.6× 174 0.8× 128 0.6× 16 1.1k
John B. Connolly United Kingdom 10 533 0.8× 426 0.8× 102 0.5× 243 1.1× 118 0.6× 22 884
Craig T. Woodard United States 14 712 1.1× 400 0.7× 210 1.0× 281 1.3× 219 1.1× 21 1.0k
Rénald Delanoue France 14 638 1.0× 490 0.9× 98 0.4× 186 0.8× 305 1.5× 18 1.2k
Sophie Layalle France 9 625 1.0× 324 0.6× 158 0.7× 195 0.9× 185 0.9× 14 927
Changan Jiang China 14 759 1.2× 1.1k 2.1× 99 0.5× 195 0.9× 251 1.2× 21 1.7k

Countries citing papers authored by Andrew J. Andres

Since Specialization
Citations

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

Fields of papers citing papers by Andrew J. Andres

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew J. Andres

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

All Works

19 of 19 papers shown
1.
Andres, Andrew J., et al.. (2020). Importin-α2 mediates brain development, learning and memory consolidation inDrosophila. Journal of Neurogenetics. 34(1). 69–82. 1 indexed citations
2.
Andres, Andrew J., et al.. (2010). Presenilin Controls CBP Levels in the Adult Drosophila Central Nervous System. PLoS ONE. 5(12). e14332–e14332. 7 indexed citations
3.
Shen, Kate, John R. Merriam, Christophe Antoniewski, et al.. (2008). A Novel Ecdysone Receptor Mediates Steroid-Regulated Developmental Events during the Mid-Third Instar of Drosophila. PLoS Genetics. 4(6). e1000102–e1000102. 74 indexed citations
4.
Andres, Andrew J.. (2004). Flying through the genome: a comprehensive study of functional genomics using RNAi in. Trends in Endocrinology and Metabolism. 15(6). 243–247. 3 indexed citations
5.
Presente, Asaf, et al.. (2004). Notch is required for long-term memory in Drosophila. Proceedings of the National Academy of Sciences. 101(6). 1764–1768. 103 indexed citations
6.
Presente, Asaf, Susan J. Shaw, Jeffrey S. Nye, & Andrew J. Andres. (2002). Transgene‐mediated RNA interference defines a novel role for notch in chemosensory startle behavior. genesis. 34(1-2). 165–169. 35 indexed citations
7.
Williams, Byron C., et al.. (2002). Phenotypic characterization ofDrosophila idamutants: defining the role of APC5 in cell cycle progression. Journal of Cell Science. 115(5). 949–961. 38 indexed citations
8.
Biyasheva, Assel, et al.. (2001). Glue Secretion in the Drosophila Salivary Gland: A Model for Steroid-Regulated Exocytosis. Developmental Biology. 231(1). 234–251. 92 indexed citations
9.
Presente, Asaf, Andrew J. Andres, & Jeffrey S. Nye. (2001). Requirement of Notch in adulthood for neurological function and longevity. Neuroreport. 12(15). 3321–3325. 32 indexed citations
10.
Vašková, Martina, et al.. (2000). Genetic Analysis of the Drosophila 63F Early Puff: Characterization of Mutations in E63-1 and maggie, a Putative Tom22. Genetics. 156(1). 229–244. 15 indexed citations
11.
Andres, Andrew J. & Carl S. Thummel. (1995). The Drosophila 63F early puff contains E63-1, an ecdysone-inducible gene that encodes a novel Ca2+-binding protein. Development. 121(8). 2667–2679. 27 indexed citations
12.
Andres, Andrew J. & Peter Cherbas. (1994). Tissue‐specific regulation by ecdysone: Distinct patterns of Eip28/29 expression are controlled by different ecdysone response elements. Developmental Genetics. 15(4). 320–331. 18 indexed citations
13.
Andres, Andrew J. & Carl S. Thummel. (1994). Chapter 29 Methods for Quantitative Analysis of Transcription in Larvae and Prepupae. Methods in cell biology. 44. 565–573. 145 indexed citations
14.
Andres, Andrew J., Jennifer C. Fletcher, Felix Karim, & Carl S. Thummel. (1993). Molecular Analysis of the Initiation of Insect Metamorphosis: A Comparative Study of Drosophila Ecdysteroid-Regulated Transcription. Developmental Biology. 160(2). 388–404. 226 indexed citations
15.
Andres, Andrew J.. (1992). Hormones, puffs and flies: the molecular control of metamorphosis by ecdysone. Trends in Genetics. 8(4). 132–138. 110 indexed citations
16.
Andres, Andrew J. & Peter Cherbas. (1992). Tissue-specific ecdysone responses: regulation of the Drosophila genes Eip28/29 and Eip40 during larval development. Development. 116(4). 865–876. 53 indexed citations
17.
Andres, Andrew J.. (1992). Hormones, puffs and flies: the molecular control of metamorphosis by ecdysone. Trends in Genetics. 8(1). 132–138. 39 indexed citations
18.
Schulz, Robert A., Xiaoling Xie, Andrew J. Andres, & Samuel Galewsky. (1991). Endoderm-specific expression of the Drosophila mex1 gene. Developmental Biology. 143(1). 206–211. 10 indexed citations
19.
Cherbas, Peter, et al.. (1990). Ecdysone response elements of a Drosophila gene.. PubMed. 342. 112–5. 2 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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