Dean A. Baker

4.2k total citations · 2 hit papers
14 papers, 2.0k citations indexed

About

Dean A. Baker is a scholar working on Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics and Genetics. According to data from OpenAlex, Dean A. Baker has authored 14 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 5 papers in Ecology, Evolution, Behavior and Systematics and 5 papers in Genetics. Recurrent topics in Dean A. Baker's work include Neurobiology and Insect Physiology Research (6 papers), CRISPR and Genetic Engineering (3 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). Dean A. Baker is often cited by papers focused on Neurobiology and Insect Physiology Research (6 papers), CRISPR and Genetic Engineering (3 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). Dean A. Baker collaborates with scholars based in United Kingdom, United States and Italy. Dean A. Baker's co-authors include J. Douglas Armstrong, Mark Longair, Steven Russell, Tony Nolan, Andrea Crisanti, Alekos Simoni, Dimitris Katsanos, Éric Marois, Nikolai Windbichler and Matthew O. Gribble and has published in prestigious journals such as Nucleic Acids Research, Nature Biotechnology and Bioinformatics.

In The Last Decade

Dean A. Baker

13 papers receiving 1.9k citations

Hit Papers

A CRISPR-Cas9 gene drive system targeting female reproduc... 2011 2026 2016 2021 2015 2011 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A CRISPR-Cas9 gene drive system targeting female reproduction in the malaria mosquito vector Anopheles gambiae
    2015 774 citations Andrew Hammond, Roberto Galizi et al. Nature Biotechnology profile →
  2. Simple Neurite Tracer: open source software for reconstruction, visualization and analysis of neuronal processes
    2011 713 citations Mark Longair, Dean A. Baker et al. Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dean A. Baker United Kingdom 13 1.0k 579 548 359 329 14 2.0k
Benjamin J. Matthews United States 16 710 0.7× 683 1.2× 1.0k 1.9× 524 1.5× 425 1.3× 32 2.1k
Linda S. Ross United States 19 974 0.9× 346 0.6× 523 1.0× 150 0.4× 221 0.7× 33 1.9k
Rafael Cantera Sweden 28 889 0.9× 563 1.0× 1.2k 2.2× 366 1.0× 318 1.0× 63 2.4k
David B. Morton United States 28 533 0.5× 379 0.7× 911 1.7× 339 0.9× 149 0.5× 97 2.2k
Helen White‐Cooper United Kingdom 29 2.2k 2.1× 507 0.9× 526 1.0× 742 2.1× 520 1.6× 44 3.4k
C. Dustin Rubinstein United States 12 812 0.8× 499 0.9× 489 0.9× 716 2.0× 99 0.3× 19 1.9k
C. P. Kyriacou United Kingdom 19 917 0.9× 387 0.7× 821 1.5× 751 2.1× 173 0.5× 28 2.5k
Kate M. O’Connor-Giles United States 17 2.0k 1.9× 381 0.7× 680 1.2× 422 1.2× 87 0.3× 34 2.6k
Maria Capovilla France 23 1.9k 1.8× 704 1.2× 1.0k 1.9× 516 1.4× 127 0.4× 43 3.0k
Dietmar Schmucker United States 24 1.6k 1.5× 361 0.6× 1.2k 2.3× 271 0.8× 133 0.4× 34 2.9k

Countries citing papers authored by Dean A. Baker

Since Specialization
Citations

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

Fields of papers citing papers by Dean A. Baker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dean A. Baker

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

All Works

14 of 14 papers shown
1.
Hammond, Andrew, Roberto Galizi, Kyros Kyrou, et al.. (2015). A CRISPR-Cas9 gene drive system targeting female reproduction in the malaria mosquito vector Anopheles gambiae. Nature Biotechnology. 34(1). 78–83. 774 indexed citations breakdown →
2.
Thyme, Summer B., Shafat Quadri, Tony Nolan, et al.. (2013). Reprogramming homing endonuclease specificity through computational design and directed evolution. Nucleic Acids Research. 42(4). 2564–2576. 26 indexed citations
3.
Dottorini, Tania, et al.. (2012). Regulation of Anopheles gambiae male accessory gland genes influences postmating response in female. The FASEB Journal. 27(1). 86–97. 14 indexed citations
4.
Baker, Dean A., Tony Nolan, Bettina Fischer, et al.. (2011). A comprehensive gene expression atlas of sex- and tissue-specificity in the malaria vector, Anopheles gambiae. BMC Genomics. 12(1). 296–296. 152 indexed citations
5.
Longair, Mark, Dean A. Baker, & J. Douglas Armstrong. (2011). Simple Neurite Tracer: open source software for reconstruction, visualization and analysis of neuronal processes. Bioinformatics. 27(17). 2453–2454. 713 indexed citations breakdown →
6.
Baker, Dean A. & Steven Russell. (2011). Role of Testis-Specific Gene Expression in Sex-Chromosome Evolution of Anopheles gambiae. Genetics. 189(3). 1117–1120. 23 indexed citations
7.
Baker, Dean A., et al.. (2010). A model of visual–olfactory integration for odour localisation in free-flying fruit flies. Journal of Experimental Biology. 213(11). 1886–1900. 25 indexed citations
8.
Baker, Dean A. & Steven Russell. (2009). Gene expression during Drosophila melanogaster egg development before and after reproductive diapause. BMC Genomics. 10(1). 242–242. 68 indexed citations
9.
Baker, Dean A., Kathleen Beckingham, & J. Douglas Armstrong. (2007). Functional dissection of the neural substrates for gravitaxic maze behavior in Drosophila melanogaster. The Journal of Comparative Neurology. 501(5). 756–764. 23 indexed citations
10.
Baker, Dean A., Lisa Meadows, Jing Wang, Julian A. T. Dow, & Steven Russell. (2007). Variable sexually dimorphic gene expression in laboratory strains of Drosophila melanogaster. BMC Genomics. 8(1). 454–454. 29 indexed citations
11.
Armstrong, J. Douglas, Michael J. Texada, Ravi P. Munjaal, Dean A. Baker, & Kathleen Beckingham. (2005). Gravitaxis in Drosophila melanogaster: a forward genetic screen. Genes Brain & Behavior. 5(3). 222–239. 70 indexed citations
12.
Beckingham, Kathleen, Michael J. Texada, Dean A. Baker, Ravi P. Munjaal, & J. Douglas Armstrong. (2005). Genetics of Graviperception in Animals. Advances in genetics. 55. 105–145. 20 indexed citations
13.
Heward, James A., et al.. (2005). FlyTracker: Real-time analysis of insect courtship.
14.
Beckingham, Kathleen, J. Douglas Armstrong, Michael J. Texada, Ravi P. Munjaal, & Dean A. Baker. (2005). Drosophila melanogaster--the model organism of choice for the complex biology of multi-cellular organisms.. PubMed. 18(2). 17–29. 33 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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