Gary Moulder

3.0k total citations · 1 hit paper
17 papers, 2.4k citations indexed

About

Gary Moulder is a scholar working on Aging, Molecular Biology and Cell Biology. According to data from OpenAlex, Gary Moulder has authored 17 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Aging, 8 papers in Molecular Biology and 7 papers in Cell Biology. Recurrent topics in Gary Moulder's work include Genetics, Aging, and Longevity in Model Organisms (12 papers), Reproductive Biology and Fertility (3 papers) and CRISPR and Genetic Engineering (3 papers). Gary Moulder is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (12 papers), Reproductive Biology and Fertility (3 papers) and CRISPR and Genetic Engineering (3 papers). Gary Moulder collaborates with scholars based in United States, Canada and Switzerland. Gary Moulder's co-authors include Robert Barstead, Michael E. Dresser, Anne M. Villeneuve, Kent McDonald, Abby F. Dernburg, Judith Kimble, Marvin Wickens, Sarah L. Crittenden, Maria Gallegos and Cornelia I. Bargmann and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Gary Moulder

17 papers receiving 2.4k citations

Hit Papers

Meiotic Recombination in C. elegans Initiates by a Conser... 1998 2026 2007 2016 1998 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
Gary Moulder United States 16 1.5k 1.0k 419 382 318 17 2.4k
Christian Frøkjær‐Jensen United States 20 1.8k 1.2× 1.6k 1.6× 296 0.7× 413 1.1× 463 1.5× 33 2.7k
Eric J. Lambie United States 26 2.2k 1.4× 1.7k 1.7× 621 1.5× 135 0.4× 441 1.4× 52 3.5k
Jocelyn E. Shaw United States 22 1.3k 0.9× 1.1k 1.1× 318 0.8× 388 1.0× 352 1.1× 28 2.1k
Greg J. Beitel United States 29 1.6k 1.0× 615 0.6× 622 1.5× 463 1.2× 357 1.1× 51 2.9k
Sarah B. Pierce United States 25 2.8k 1.8× 433 0.4× 455 1.1× 318 0.8× 268 0.8× 32 4.0k
David B. Pilgrim Canada 26 1.8k 1.1× 1.5k 1.4× 283 0.7× 236 0.6× 457 1.4× 54 2.8k
Christopher Rongo United States 23 1.4k 0.9× 964 0.9× 610 1.5× 498 1.3× 356 1.1× 44 2.3k
Alex Hajnal Switzerland 27 1.4k 0.9× 1.1k 1.1× 520 1.2× 247 0.6× 404 1.3× 71 2.4k
Michael Ailion United States 24 1.2k 0.8× 1.5k 1.4× 323 0.8× 349 0.9× 663 2.1× 45 2.6k
Juan R. Riesgo‐Escovar Mexico 24 1.5k 0.9× 311 0.3× 510 1.2× 867 2.3× 94 0.3× 48 2.5k

Countries citing papers authored by Gary Moulder

Since Specialization
Citations

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

Fields of papers citing papers by Gary Moulder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gary Moulder

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

All Works

17 of 17 papers shown
1.
Moulder, Gary. (2016). Hatching Fish—When Should Animal Tracking Begin?. Zebrafish. 13(S1). S–150. 3 indexed citations
2.
Bogert, Pamela S., Bing Huang, Sergio A. Gradilone, et al.. (2013). The Zebrafish as a Model to Study Polycystic Liver Disease. Zebrafish. 10(2). 211–217. 16 indexed citations
3.
Moulder, Gary, Janet S. Duerr, Jeffrey N. Stirman, et al.. (2010). α-Actinin Is Required for the Proper Assembly of Z-Disk/Focal-Adhesion-Like Structures and for Efficient Locomotion in Caenorhabditis elegans. Journal of Molecular Biology. 403(4). 516–528. 24 indexed citations
4.
Petzold, Andrew M., Darius Balčiūnas, Sridhar Sivasubbu, et al.. (2009). Nicotine response genetics in the zebrafish. Proceedings of the National Academy of Sciences. 106(44). 18662–18667. 95 indexed citations
5.
Luke, Cliff J., Stephen C. Pak, Yuko S. Askew, et al.. (2007). An Intracellular Serpin Regulates Necrosis by Inhibiting the Induction and Sequelae of Lysosomal Injury. Cell. 130(6). 1108–1119. 132 indexed citations
6.
Mullen, Gregory P., Eleanor Mathews, Stephen D. Fields, et al.. (2006). TheCaenorhabditis elegans snf-11Gene Encodes a Sodium-dependent GABA Transporter Required for Clearance of Synaptic GABA. Molecular Biology of the Cell. 17(7). 3021–3030. 35 indexed citations
7.
Gieseler, Kathrin, Edwige Martin, Maïté Carre-Pierrat, et al.. (2003). The stn-1 Syntrophin Gene of C.elegans is Functionally Related to Dystrophin and Dystrobrevin. Journal of Molecular Biology. 332(5). 1037–1046. 32 indexed citations
8.
Tobin, David M., David M. Madsen, Amanda Kahn-Kirby, et al.. (2002). Combinatorial Expression of TRPV Channel Proteins Defines Their Sensory Functions and Subcellular Localization in C. elegans Neurons. Neuron. 35(2). 307–318. 349 indexed citations
9.
Crittenden, Sarah L., David Bernstein, Jennifer L. Bachorik, et al.. (2002). A conserved RNA-binding protein controls germline stem cells in Caenorhabditis elegans. Nature. 417(6889). 660–663. 343 indexed citations
10.
Belfiore, Marco, Laura D. Mathies, Paolo Pugnale, et al.. (2002). The MEP-1 zinc-finger protein acts with MOG DEAH box proteins to control gene expression via the fem-3 3??? untranslated region in Caenorhabditis elegans. RNA. 8(6). 725–739. 41 indexed citations
11.
Hao, Joe C., Timothy W. Yu, Kazuko Fujisawa, et al.. (2001). C. elegans Slit Acts in Midline, Dorsal-Ventral, and Anterior-Posterior Guidance via the SAX-3/Robo Receptor. Neuron. 32(1). 25–38. 184 indexed citations
12.
Kelleher, Joseph F., Michael A. Mandell, Gary Moulder, et al.. (2000). Myosin VI is required for asymmetric segregation of cellular components during C. elegans spermatogenesis. Current Biology. 10(23). 1489–1496. 71 indexed citations
13.
Duerr, Janet S., John R. McManus, Angie Duke, et al.. (2000). Expression of Multiple UNC-13 Proteins in theCaenorhabditis elegansNervous System. Molecular Biology of the Cell. 11(10). 3441–3452. 69 indexed citations
14.
Moulder, Gary, et al.. (2000). Prolyl 4-hydroxylase is required for viability and morphogenesis in Caenorhabditis elegans. Proceedings of the National Academy of Sciences. 97(9). 4736–4741. 63 indexed citations
15.
Crittenden, Sarah L., Maria Gallegos, Gary Moulder, et al.. (1999). NANOS-3 and FBF proteins physically interact to control the sperm–oocyte switch in Caenorhabditis elegans. Current Biology. 9(18). 1009–1018. 227 indexed citations
16.
Dernburg, Abby F., Kent McDonald, Gary Moulder, et al.. (1998). Meiotic Recombination in C. elegans Initiates by a Conserved Mechanism and Is Dispensable for Homologous Chromosome Synapsis. Cell. 94(3). 387–398. 625 indexed citations breakdown →
17.
Moulder, Gary, Miller Huang, R Waterston, & Robert Barstead. (1996). Talin requires beta-integrin, but not vinculin, for its assembly into focal adhesion-like structures in the nematode Caenorhabditis elegans.. Molecular Biology of the Cell. 7(8). 1181–1193. 69 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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