Madeline A. Crosby

4.5k total citations · 1 hit paper
15 papers, 1.3k citations indexed

About

Madeline A. Crosby is a scholar working on Molecular Biology, Plant Science and Pharmacology. According to data from OpenAlex, Madeline A. Crosby has authored 15 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Plant Science and 3 papers in Pharmacology. Recurrent topics in Madeline A. Crosby's work include Genomics and Phylogenetic Studies (9 papers), Chromosomal and Genetic Variations (5 papers) and Genomics and Chromatin Dynamics (4 papers). Madeline A. Crosby is often cited by papers focused on Genomics and Phylogenetic Studies (9 papers), Chromosomal and Genetic Variations (5 papers) and Genomics and Chromatin Dynamics (4 papers). Madeline A. Crosby collaborates with scholars based in United States, United Kingdom and Israel. Madeline A. Crosby's co-authors include Joshua L. Goodman, Andrew J. Schroeder, David Emmert, Gilberto dos Santos, Victor Strelets, Jim Thurmond, William M Gelbart, L. Sian Gramates, Ernesto Sánchez‐Herrero and Steven J Marygold and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The EMBO Journal.

In The Last Decade

Madeline A. Crosby

15 papers receiving 1.3k citations

Hit Papers

FlyBase at 25: looking to the future 2016 2026 2019 2022 2016 100 200 300
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. FlyBase at 25: looking to the future
    2016 393 citations L. Sian Gramates, Steven J Marygold et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Madeline A. Crosby United States 12 912 287 244 231 183 15 1.3k
Victor Strelets United States 6 863 0.9× 301 1.0× 250 1.0× 227 1.0× 204 1.1× 11 1.3k
Gilberto dos Santos United States 9 1.3k 1.4× 226 0.8× 177 0.7× 217 0.9× 154 0.8× 11 1.6k
Susan E. St. Pierre United States 8 747 0.8× 206 0.7× 337 1.4× 146 0.6× 108 0.6× 8 1.0k
Korneel Hens Belgium 20 721 0.8× 225 0.8× 271 1.1× 133 0.6× 215 1.2× 40 1.1k
Andrew J. Schroeder United States 14 997 1.1× 443 1.5× 480 2.0× 318 1.4× 184 1.0× 19 1.6k
Jamila I. Horabin United States 16 997 1.1× 514 1.8× 140 0.6× 138 0.6× 113 0.6× 28 1.3k
L. Sian Gramates United States 11 604 0.7× 187 0.7× 304 1.2× 112 0.5× 131 0.7× 13 966
Christians Villalta United States 8 878 1.0× 197 0.7× 428 1.8× 204 0.9× 102 0.6× 9 1.2k
Renjie Jiao China 18 1.1k 1.2× 187 0.7× 177 0.7× 171 0.7× 153 0.8× 39 1.3k
William Mattox United States 19 917 1.0× 378 1.3× 297 1.2× 79 0.3× 172 0.9× 26 1.3k

Countries citing papers authored by Madeline A. Crosby

Since Specialization
Citations

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

Fields of papers citing papers by Madeline A. Crosby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madeline A. Crosby

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

All Works

15 of 15 papers shown
1.
Marygold, Steven J, Madeline A. Crosby, & Joshua L. Goodman. (2016). Using FlyBase, a Database of Drosophila Genes and Genomes. Methods in molecular biology. 1478. 1–31. 39 indexed citations
2.
Millburn, Gillian, Madeline A. Crosby, L. Sian Gramates, & Susan Tweedie. (2016). FlyBase portals to human disease research using Drosophila models. Disease Models & Mechanisms. 9(3). 245–252. 44 indexed citations
3.
Gramates, L. Sian, Steven J Marygold, Gilberto dos Santos, et al.. (2016). FlyBase at 25: looking to the future. Nucleic Acids Research. 45(D1). D663–D671. 393 indexed citations breakdown →
4.
Marygold, Steven J, Giulia Antonazzo, Helen Attrill, et al.. (2016). Exploring FlyBase Data Using QuickSearch. Current Protocols in Bioinformatics. 56(1). 1.31.1–1.31.23. 5 indexed citations
5.
Santos, Gilberto dos, Madeline A. Crosby, David Emmert, et al.. (2015). Gene Model Annotations for Drosophila melanogaster: Impact of High-Throughput Data. G3 Genes Genomes Genetics. 5(8). 1721–1736. 46 indexed citations
6.
Crosby, Madeline A., L. Sian Gramates, Gilberto dos Santos, et al.. (2015). Gene Model Annotations forDrosophila melanogaster: The Rule-Benders. G3 Genes Genomes Genetics. 5(8). 1737–1749. 17 indexed citations
7.
Santos, Gilberto dos, Andrew J. Schroeder, Joshua L. Goodman, et al.. (2014). FlyBase: introduction of the Drosophila melanogaster Release 6 reference genome assembly and large-scale migration of genome annotations. Nucleic Acids Research. 43(D1). D690–D697. 315 indexed citations
8.
Myrick, Kyl V., François Huet, Stephanie E. Mohr, et al.. (2009). Large-Scale Functional Annotation and Expanded Implementations of the P{wHy} Hybrid Transposon in the Drosophila melanogaster Genome. Genetics. 182(3). 653–660. 3 indexed citations
9.
Lin, Michael F., Joseph W. Carlson, Madeline A. Crosby, et al.. (2007). Revisiting the protein-coding gene catalog ofDrosophila melanogasterusing 12 fly genomes. Genome Research. 17(12). 1823–1836. 115 indexed citations
10.
Huet, François, Jeffrey Lu, Kyl V. Myrick, et al.. (2002). A deletion-generator compound element allows deletion saturation analysis for genomewide phenotypic annotation. Proceedings of the National Academy of Sciences. 99(15). 9948–9953. 42 indexed citations
11.
Crosby, Madeline A., Chaya Miller, Tamir Alon, et al.. (1999). The trithorax Group Gene moira Encodes a Brahma-Associated Putative Chromatin-Remodeling Factor in Drosophila melanogaster. Molecular and Cellular Biology. 19(2). 1159–1170. 109 indexed citations
12.
Sánchez‐Herrero, Ernesto & Madeline A. Crosby. (1988). The Abdominal-B gene of Drosophila melanogaster : overlapping transcripts exhibit two different spatial distributions. The EMBO Journal. 7(7). 2163–2173. 77 indexed citations
13.
Crosby, Madeline A. & Elliot M. Meyerowitz. (1986). LETHAL MUTATIONS FLANKING THE 68C GLUE GENE CLUSTER ON CHROMOSOME 3 OF DROSOPHILA MELANOGASTER. Genetics. 112(4). 785–802. 25 indexed citations
14.
Crosby, Madeline A. & Elliot M. Meyerowitz. (1986). Drosophila glue gene Sgs-3: Sequences required for puffing and transcriptional regulation. Developmental Biology. 118(2). 593–607. 25 indexed citations
15.
Weiffenbach, Barbara, Mark Peifer, Welcome Bender, et al.. (1985). THE ABDOMINAL REGION O FT HE BITHORAX COMPLEX. 3 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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