Dakota J. Brock

584 total citations
9 papers, 472 citations indexed

About

Dakota J. Brock is a scholar working on Molecular Biology, Genetics and Microbiology. According to data from OpenAlex, Dakota J. Brock has authored 9 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Microbiology. Recurrent topics in Dakota J. Brock's work include RNA Interference and Gene Delivery (7 papers), Advanced biosensing and bioanalysis techniques (6 papers) and Lipid Membrane Structure and Behavior (3 papers). Dakota J. Brock is often cited by papers focused on RNA Interference and Gene Delivery (7 papers), Advanced biosensing and bioanalysis techniques (6 papers) and Lipid Membrane Structure and Behavior (3 papers). Dakota J. Brock collaborates with scholars based in United States, Croatia and Germany. Dakota J. Brock's co-authors include Jean‐Philippe Pellois, Kristina Najjar, Alfredo Erazo‐Oliveras, Ting‐Yi Wang, François P. Gabbaı̈, Junjie Zhang, Hays S. Rye, Andrea L. J. Marschall, Rudolph L. Juliano and Stefan Dübel and has published in prestigious journals such as Journal of Biological Chemistry, Bioconjugate Chemistry and Chem.

In The Last Decade

Dakota J. Brock

9 papers receiving 466 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dakota J. Brock United States	9	371	62	61	48	48	9	472
Meeri Sassian Estonia	7	356 1.0×	43 0.7×	83 1.4×	85 1.8×	75 1.6×	9	477
Pallerla Manjula India	9	330 0.9×	30 0.5×	74 1.2×	76 1.6×	69 1.4×	13	453
Ivan de Paola Italy	13	284 0.8×	37 0.6×	19 0.3×	60 1.3×	32 0.7×	22	430
Zachary Z. Brown United States	14	820 2.2×	51 0.8×	28 0.5×	215 4.5×	64 1.3×	18	938
Bernadett Bacsa Austria	12	355 1.0×	15 0.2×	72 1.2×	176 3.7×	50 1.0×	23	525
Jo E. Lomax United States	8	291 0.8×	31 0.5×	35 0.6×	119 2.5×	34 0.7×	8	388
Mitsuko Maeda Japan	16	545 1.5×	140 2.3×	50 0.8×	145 3.0×	67 1.4×	57	691
Junya Chiba Japan	14	493 1.3×	21 0.3×	28 0.5×	194 4.0×	29 0.6×	39	641
Jiro Takei United States	13	462 1.2×	46 0.7×	34 0.6×	18 0.4×	92 1.9×	17	656
Carly K. Schissel United States	11	395 1.1×	24 0.4×	47 0.8×	153 3.2×	27 0.6×	17	489

Countries citing papers authored by Dakota J. Brock

Since Specialization

Citations

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

Fields of papers citing papers by Dakota J. Brock

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dakota J. Brock. 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 Dakota J. Brock. The network helps show where Dakota J. Brock may publish in the future.

Co-authorship network of co-authors of Dakota J. Brock

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

All Works

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9 of 9 papers shown

Brock, Dakota J., Zlatko Brkljača, Junjie Zhang, et al.. (2020). Mechanism of Cell Penetration by Permeabilization of Late Endosomes: Interplay between a Multivalent TAT Peptide and Bis(monoacylglycero)phosphate. Cell chemical biology. 27(10). 1296–1307.e5. 28 indexed citations

Najjar, Kristina, Alfredo Erazo‐Oliveras, Dakota J. Brock, et al.. (2019). Cytosolic Delivery of Macromolecules in Live Human Cells Using the Combined Endosomal Escape Activities of a Small Molecule and Cell Penetrating Peptides. ACS Chemical Biology. 14(12). 2641–2651. 42 indexed citations

Brock, Dakota J., et al.. (2019). Heavy Pnictogenium Cations as Transmembrane Anion Transporters in Vesicles and Erythrocytes. Chem. 5(8). 2215–2227. 65 indexed citations

Brock, Dakota J., et al.. (2018). Endosomal Escape and Cytosolic Penetration of Macromolecules Mediated by Synthetic Delivery Agents. Bioconjugate Chemistry. 30(2). 293–304. 87 indexed citations

Brock, Dakota J., Ting‐Yi Wang, Alfredo Erazo‐Oliveras, et al.. (2018). Efficient cell delivery mediated by lipid‐specific endosomal escape of supercharged branched peptides. Traffic. 19(6). 421–435. 53 indexed citations

Stubbendieck, Reed M., Dakota J. Brock, Jean‐Philippe Pellois, Jason J. Gill, & Paul D. Straight. (2018). Linearmycins are lytic membrane-targeting antibiotics. The Journal of Antibiotics. 71(3). 372–381. 14 indexed citations

Brock, Dakota J., et al.. (2018). Efficient Delivery of Macromolecules into Human Cells by Improving the Endosomal Escape Activity of Cell-Penetrating Peptides: Lessons Learned from dfTAT and its Analogs. Biomolecules. 8(3). 50–50. 37 indexed citations

Najjar, Kristina, Alfredo Erazo‐Oliveras, Dakota J. Brock, Ting‐Yi Wang, & Jean‐Philippe Pellois. (2016). An l- to d-Amino Acid Conversion in an Endosomolytic Analog of the Cell-penetrating Peptide TAT Influences Proteolytic Stability, Endocytic Uptake, and Endosomal Escape. Journal of Biological Chemistry. 292(3). 847–861. 73 indexed citations

Erazo‐Oliveras, Alfredo, et al.. (2016). The Late Endosome and Its Lipid BMP Act as Gateways for Efficient Cytosolic Access of the Delivery Agent dfTAT and Its Macromolecular Cargos. Cell chemical biology. 23(5). 598–607. 73 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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