Bryan Hurtle

680 total citations · 1 hit paper
8 papers, 441 citations indexed

About

Bryan Hurtle is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pharmacology. According to data from OpenAlex, Bryan Hurtle has authored 8 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Pharmacology. Recurrent topics in Bryan Hurtle's work include Photoreceptor and optogenetics research (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Computational Drug Discovery Methods (2 papers). Bryan Hurtle is often cited by papers focused on Photoreceptor and optogenetics research (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Computational Drug Discovery Methods (2 papers). Bryan Hurtle collaborates with scholars based in United States, China and Japan. Bryan Hurtle's co-authors include Christopher J. Donnelly, Amantha Thathiah, Michael R. DeChellis-Marks, Zachary P. Wills, Amanda M. Gleixner, Julia Kofler, Edward Gomes, Lin Guo, Udai Bhan Pandey and James Shorter and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Neuron.

In The Last Decade

Bryan Hurtle

6 papers receiving 437 citations

Hit Papers

align trajectories

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.

RNA Binding Antagonizes Neurotoxic Phase Transitions of TDP-43

2019 365 citations Jacob R. Mann, Amanda M. Gleixner et al. Neuron profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bryan Hurtle United States	5	344	195	104	62	39	8	441
Michael R. DeChellis-Marks United States	4	314 0.9×	188 1.0×	104 1.0×	47 0.8×	20 0.5×	5	387
David D. Scott United States	7	174 0.5×	150 0.8×	64 0.6×	34 0.5×	49 1.3×	10	271
Katie E. Copley United States	5	523 1.5×	256 1.3×	151 1.5×	58 0.9×	23 0.6×	6	627
Lauren M. Gittings United States	9	299 0.9×	184 0.9×	120 1.2×	54 0.9×	51 1.3×	11	404
Rebecca San Gil Australia	9	233 0.7×	177 0.9×	66 0.6×	59 1.0×	88 2.3×	16	385
Kanchana K. Gamage United States	6	265 0.8×	268 1.4×	182 1.8×	97 1.6×	54 1.4×	7	473
Jacob R. Mann United States	7	428 1.2×	260 1.3×	169 1.6×	62 1.0×	18 0.5×	7	531
Eliana Lauranzano Italy	10	178 0.5×	159 0.8×	82 0.8×	50 0.8×	60 1.5×	12	350
Sonia Vazquez‐Sanchez United States	7	330 1.0×	137 0.7×	60 0.6×	56 0.9×	78 2.0×	11	438
Stephanie L. Rayner Australia	10	158 0.5×	190 1.0×	87 0.8×	57 0.9×	79 2.0×	18	375

Countries citing papers authored by Bryan Hurtle

Since Specialization

Citations

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

Fields of papers citing papers by Bryan Hurtle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bryan Hurtle

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Hurtle, Bryan, et al.. (2024). Ligand-Based Virtual Screening as a Path to New Chemotypes for Candidate PET Radioligands for Imaging Tauopathies. Journal of Medicinal Chemistry. 67(16). 14095–14109. 6 indexed citations

2.

Hurtle, Bryan, Christopher J. Donnelly, Xin Zhang, & Amantha Thathiah. (2024). Live-cell visualization of tau aggregation in human neurons. Communications Biology. 7(1). 1143–1143. 2 indexed citations

3.

Hurtle, Bryan, et al.. (2023). Disrupting pathologic phase transitions in neurodegeneration. Journal of Clinical Investigation. 133(13). 21 indexed citations

4.

Thathiah, Amantha, Yunhong Huang, Carolyn Ferguson, et al.. (2023). G protein‐biased GPR3 signaling induces glial activation and ameliorates amyloid pathology in a preclinical Alzheimer’s disease mouse model. Alzheimer s & Dementia. 19(S1).

5.

Huang, Yunhong, Carolyn Ferguson, Bryan Hurtle, et al.. (2022). G protein–biased GPR3 signaling ameliorates amyloid pathology in a preclinical Alzheimer’s disease mouse model. Proceedings of the National Academy of Sciences. 119(40). e2204828119–e2204828119. 22 indexed citations

6.

Hurtle, Bryan, et al.. (2022). Optogenetic model of tau aggregation for tauopathies. Alzheimer s & Dementia. 18(S4).

7.

Mann, Jacob R., Amanda M. Gleixner, Jocelyn C. Mauna, et al.. (2019). RNA Binding Antagonizes Neurotoxic Phase Transitions of TDP-43. Neuron. 102(2). 321–338.e8. 365 indexed citations breakdown →

8.

Cai, Lisheng, Bao‐Xi Qu, Bryan Hurtle, et al.. (2016). Candidate PET Radioligand Development for Neurofibrillary Tangles: Two Distinct Radioligand Binding Sites Identified in Postmortem Alzheimer’s Disease Brain. ACS Chemical Neuroscience. 7(7). 897–911. 25 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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