Anna Delprato

1.7k total citations
20 papers, 1.2k citations indexed

About

Anna Delprato is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Anna Delprato has authored 20 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Cell Biology and 7 papers in Genetics. Recurrent topics in Anna Delprato's work include Cellular transport and secretion (6 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and Neonatal Health and Biochemistry (4 papers). Anna Delprato is often cited by papers focused on Cellular transport and secretion (6 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and Neonatal Health and Biochemistry (4 papers). Anna Delprato collaborates with scholars based in United States, France and Germany. Anna Delprato's co-authors include David G. Lambright, Craig R. Roy, Alyssa Ingmundson, Derek Toomre, Takahiro Murata, Eric Merithew, Shao Hui Huang, Michael Czech, Jonathan P. DiNitto and Adı́lson Guilherme and has published in prestigious journals such as Nature, Cell and Physical Review Letters.

In The Last Decade

Anna Delprato

20 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Delprato United States 13 703 488 470 250 136 20 1.2k
Xinjun Zhu United States 11 775 1.1× 536 1.1× 441 0.9× 225 0.9× 133 1.0× 15 1.2k
Shaeri Mukherjee United States 17 634 0.9× 325 0.7× 404 0.9× 235 0.9× 60 0.4× 29 1.1k
Camenzind G. Robinson United States 18 879 1.3× 324 0.7× 342 0.7× 224 0.9× 89 0.7× 31 1.7k
Markus Maniak Germany 22 895 1.3× 1.3k 2.7× 141 0.3× 233 0.9× 356 2.6× 45 2.0k
Jason King United Kingdom 25 733 1.0× 848 1.7× 115 0.2× 154 0.6× 279 2.1× 63 1.8k
Sagar Bhogaraju Germany 16 1.3k 1.8× 514 1.1× 279 0.6× 215 0.9× 91 0.7× 27 1.9k
Sabyasachi Chakrabarti United States 9 490 0.7× 418 0.9× 136 0.3× 124 0.5× 151 1.1× 9 908
Marije Marsman Netherlands 8 687 1.0× 757 1.6× 91 0.2× 295 1.2× 156 1.1× 10 1.5k
Fabienne Paumet United States 19 1.2k 1.7× 1.3k 2.6× 95 0.2× 410 1.6× 334 2.5× 28 2.1k
Stefania Spanò Italy 17 919 1.3× 659 1.4× 250 0.5× 118 0.5× 119 0.9× 26 1.5k

Countries citing papers authored by Anna Delprato

Since Specialization
Citations

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

Fields of papers citing papers by Anna Delprato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Delprato

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Delprato. A scholar is included among the top collaborators of Anna Delprato 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 Anna Delprato. Anna Delprato 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.
Delprato, Anna, et al.. (2022). Connecting DCX, COMT and FMR1 in social behavior and cognitive impairment. Behavioral and Brain Functions. 18(1). 7–7. 7 indexed citations
2.
Delprato, Anna, et al.. (2018). A quantitative trait locus on chromosome 1 modulates intermale aggression in mice. Genes Brain & Behavior. 17(7). e12469–e12469. 4 indexed citations
3.
Delprato, Anna, et al.. (2017). QTLand systems genetics analysis of mouse grooming and behavioral responses to novelty in an open field. Genes Brain & Behavior. 16(8). 790–799. 18 indexed citations
4.
Delprato, Anna & Wim E. Crusio. (2016). Genetic Dissection of Variation in Hippocampal Intra- and Infrapyramidal Mossy Fibers in the Mouse. Methods in molecular biology. 1488. 419–430. 2 indexed citations
5.
Delprato, Anna, et al.. (2015). Systems genetic analysis of hippocampal neuroanatomy and spatial learning in mice. Genes Brain & Behavior. 14(8). 591–606. 21 indexed citations
7.
Delprato, Anna, et al.. (2014). Crucial role of the Rcl1p–Bms1p interaction for yeast pre-ribosomal RNA processing. Nucleic Acids Research. 42(15). 10161–10172. 23 indexed citations
8.
Delprato, Anna, Ana M. Aransay, Heike Kollmus, Klaus Schughart, & Juan Manuel Falcón‐Pérez. (2013). Meeting report of the European mouse complex genetics network SYSGENET. Mammalian Genome. 24(5-6). 190–197. 1 indexed citations
9.
Alix, Eric, Danièle Stalder, Pampa Ray, et al.. (2013). A Novel Membrane Sensor Controls the Localization and ArfGEF Activity of Bacterial RalF. PLoS Pathogens. 9(11). e1003747–e1003747. 29 indexed citations
10.
Alix, Eric, Laurent Chesnel, Aimee M. Tucker, et al.. (2012). The Capping Domain in RalF Regulates Effector Functions. PLoS Pathogens. 8(11). e1003012–e1003012. 31 indexed citations
11.
Delprato, Anna. (2012). Topological and Functional Properties of the Small GTPases Protein Interaction Network. PLoS ONE. 7(9). e44882–e44882. 31 indexed citations
12.
Fang, Zhiyou, Norio Takizawa, Korey A. Wilson, et al.. (2010). The Membrane-Associated Protein, Supervillin, Accelerates F-Actin-Dependent Rapid Integrin Recycling and Cell Motility. Traffic. 11(6). 782–799. 64 indexed citations
13.
Delprato, Anna & David G. Lambright. (2007). Structural basis for Rab GTPase activation by VPS9 domain exchange factors. Nature Structural & Molecular Biology. 14(5). 406–412. 110 indexed citations
14.
DiNitto, Jonathan P., Anna Delprato, Shao Hui Huang, et al.. (2007). Structural Basis and Mechanism of Autoregulation in 3-Phosphoinositide-Dependent Grp1 Family Arf GTPase Exchange Factors. Molecular Cell. 28(4). 569–583. 132 indexed citations
15.
Ingmundson, Alyssa, Anna Delprato, David G. Lambright, & Craig R. Roy. (2007). Legionella pneumophila proteins that regulate Rab1 membrane cycling. Nature. 450(7168). 365–369. 279 indexed citations
16.
Murata, Takahiro, Anna Delprato, Alyssa Ingmundson, et al.. (2006). The Legionella pneumophila effector protein DrrA is a Rab1 guanine nucleotide-exchange factor. Nature Cell Biology. 8(9). 971–977. 303 indexed citations
17.
Delprato, Anna, Eric Merithew, & David G. Lambright. (2004). Structure, Exchange Determinants, and Family-Wide Rab Specificity of the Tandem Helical Bundle and Vps9 Domains of Rabex-5. Cell. 118(5). 607–617. 141 indexed citations
18.
Delprato, Anna, Azadeh Samadani, Arshad Kudrolli, & Lev S. Tsimring. (2001). Swarming Ring Patterns in Bacterial Colonies Exposed to Ultraviolet Radiation. Physical Review Letters. 87(15). 158102–158102. 26 indexed citations
19.
Delprato, Anna, et al.. (2001). Determinants of the Broad Recognition of Exocytic Rab GTPases by Mss4. Biochemistry. 40(51). 15699–15706. 10 indexed citations
20.
Delprato, Anna, et al.. (2000). An Established Light Ear Mutant (C57BL/6J-Pdebrd1 le) Mouse Cell Line Exhibits a Block to Secretion of Lysosomal Enzymes. Experimental Cell Research. 256(1). 315–320. 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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