Max V. Staller

855 total citations
19 papers, 426 citations indexed

About

Max V. Staller is a scholar working on Molecular Biology, General Health Professions and Astronomy and Astrophysics. According to data from OpenAlex, Max V. Staller has authored 19 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 1 paper in General Health Professions and 1 paper in Astronomy and Astrophysics. Recurrent topics in Max V. Staller's work include Genomics and Chromatin Dynamics (10 papers), RNA and protein synthesis mechanisms (6 papers) and Protein Structure and Dynamics (4 papers). Max V. Staller is often cited by papers focused on Genomics and Chromatin Dynamics (10 papers), RNA and protein synthesis mechanisms (6 papers) and Protein Structure and Dynamics (4 papers). Max V. Staller collaborates with scholars based in United States and Germany. Max V. Staller's co-authors include Alex S. Holehouse, Barak A. Cohen, Rohit V. Pappu, Angela H. DePace, Zeba Wunderlich, Meghan D. J. Bragdon, Devjanee Swain-Lenz, Rahul K. Das, Javier Estrada and Ben J. Vincent and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Molecular Cell.

In The Last Decade

Max V. Staller

18 papers receiving 425 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Max V. Staller United States	11	374	60	46	28	14	19	426
Eric A. Arn United States	8	421 1.1×	32 0.5×	40 0.9×	37 1.3×	11 0.8×	8	446
Sagie Brodsky Israel	9	481 1.3×	59 1.0×	30 0.7×	25 0.9×	16 1.1×	14	510
Antonio Trullo France	9	316 0.8×	36 0.6×	29 0.6×	37 1.3×	29 2.1×	15	367
Ivo Melčák Czechia	8	447 1.2×	34 0.6×	32 0.7×	30 1.1×	15 1.1×	11	489
Risako Nakano Japan	5	255 0.7×	44 0.7×	38 0.8×	44 1.6×	16 1.1×	5	310
David M. Granas United States	9	406 1.1×	43 0.7×	99 2.2×	35 1.3×	10 0.7×	13	439
Nicolas Lonfat Switzerland	7	278 0.7×	68 1.1×	64 1.4×	13 0.5×	10 0.7×	11	289
Ahmet Y. Ozdemir United States	6	349 0.9×	46 0.8×	48 1.0×	25 0.9×	7 0.5×	7	391
Pablo Aurelio Gómez-García Spain	9	368 1.0×	44 0.7×	20 0.4×	18 0.6×	10 0.7×	15	431

Countries citing papers authored by Max V. Staller

Since Specialization

Citations

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

Fields of papers citing papers by Max V. Staller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Max V. Staller. 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 Max V. Staller. The network helps show where Max V. Staller may publish in the future.

Co-authorship network of co-authors of Max V. Staller

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

All Works

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19 of 19 papers shown

Darzacq, Xavier, et al.. (2025). Short activation domains control chromatin association of transcription factors. eLife. 15.

Flores, Eduardo Furtado, et al.. (2025). Correlating disordered activation domain ensembles with gene expression levels. PubMed. 5(1). 100195–100195. 2 indexed citations

Markel, Kasey, et al.. (2024). Systematic identification of transcriptional activation domains from non-transcription factor proteins in plants and yeast. Cell Systems. 15(7). 662–672.e4. 6 indexed citations

Morffy, Nicholas, Lisa Van den Broeck, Ryan J. Emenecker, et al.. (2024). Identification of plant transcriptional activation domains. Nature. 632(8023). 166–173. 29 indexed citations

Staller, Max V., et al.. (2023). Commonly asked questions about transcriptional activation domains. Current Opinion in Structural Biology. 84. 102732–102732. 17 indexed citations

Strader, Lucia C., Max V. Staller, Anne E. Willis, et al.. (2023). The complexity of transferring genetic information. Molecular Cell. 83(3). 320–323. 2 indexed citations

Staller, Max V., et al.. (2023). Clusters of acidic and hydrophobic residues can predict acidic transcriptional activation domains from protein sequence. Genetics. 225(2). 10 indexed citations

Broeck, Lisa Van den, et al.. (2023). Prediction and functional characterization of transcriptional activation domains. 1–6. 1 indexed citations

Staller, Max V., et al.. (2022). Activation domains can decouple the mean and noise of gene expression. Cell Reports. 40(3). 111118–111118. 3 indexed citations

10.

Staller, Max V., et al.. (2022). Directed mutational scanning reveals a balance between acidic and hydrophobic residues in strong human activation domains. Cell Systems. 13(4). 334–345.e5. 67 indexed citations

11.

Staller, Max V.. (2022). Transcription factors perform a 2-step search of the nucleus. Genetics. 222(2). 23 indexed citations

12.

Rockwell, Nathan, Wei Yang, Nicole M. Warrington, et al.. (2021). Sex- and Mutation-Specific p53 Gain-of-Function Activity in Gliomagenesis. Cancer Research Communications. 1(3). 148–163. 10 indexed citations

13.

Staller, Max V., Alex S. Holehouse, Devjanee Swain-Lenz, et al.. (2018). A High-Throughput Mutational Scan of an Intrinsically Disordered Acidic Transcriptional Activation Domain. Cell Systems. 6(4). 444–455.e6. 103 indexed citations

14.

Vincent, Ben J., Max V. Staller, Meghan D. J. Bragdon, et al.. (2018). Hunchback is counter-repressed to regulate even-skipped stripe 2 expression in Drosophila embryos. PLoS Genetics. 14(9). e1007644–e1007644. 16 indexed citations

15.

Swain-Lenz, Devjanee, Igor Nikolskiy, Jiye Cheng, et al.. (2017). Causal Genetic Variation Underlying Metabolome Differences. Genetics. 206(4). 2199–2206. 2 indexed citations

16.

Staller, Max V., Charless C. Fowlkes, Meghan D. J. Bragdon, et al.. (2015). A gene expression atlas of a bicoid -depleted Drosophila embryo reveals early canalization of cell fate. Development. 142(3). 587–596. 21 indexed citations

17.

Staller, Max V., Ben J. Vincent, Meghan D. J. Bragdon, et al.. (2015). Shadow enhancers enable Hunchback bifunctionality in the Drosophila embryo. Proceedings of the National Academy of Sciences. 112(3). 785–790. 33 indexed citations

18.

Vincent, Ben J., Clarissa Scholes, Max V. Staller, et al.. (2015). Yearly Planning Meetings: Individualized Development Plans Aren’t Just More Paperwork. Molecular Cell. 58(5). 718–721. 14 indexed citations

19.

Staller, Max V., Dong Yan, Meghan D. J. Bragdon, et al.. (2012). Depleting Gene Activities in Early Drosophila Embryos with the “Maternal-Gal4–shRNA” System. Genetics. 193(1). 51–61. 67 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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