Oliver B. Davis

1.6k total citations · 1 hit paper
9 papers, 907 citations indexed

About

Oliver B. Davis is a scholar working on Cell Biology, Physiology and Molecular Biology. According to data from OpenAlex, Oliver B. Davis has authored 9 papers receiving a total of 907 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cell Biology, 6 papers in Physiology and 3 papers in Molecular Biology. Recurrent topics in Oliver B. Davis's work include Cellular transport and secretion (6 papers), Lysosomal Storage Disorders Research (6 papers) and Calcium signaling and nucleotide metabolism (2 papers). Oliver B. Davis is often cited by papers focused on Cellular transport and secretion (6 papers), Lysosomal Storage Disorders Research (6 papers) and Calcium signaling and nucleotide metabolism (2 papers). Oliver B. Davis collaborates with scholars based in United States, Canada and Japan. Oliver B. Davis's co-authors include Roberto Zoncu, Daniel K. Nomura, Xuntian Jiang, Rushika M. Perera, Hijai R. Shin, Douglas F. Covey, Ofer Moldavski, Daniel S. Ory, McKenna Feltes and Brian M. Castellano and has published in prestigious journals such as Science, Angewandte Chemie International Edition and Nature Cell Biology.

In The Last Decade

Oliver B. Davis

9 papers receiving 904 citations

Hit Papers

Lysosomal cholesterol activates mTORC1 via an SLC38A9–Nie... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Oliver B. Davis United States 8 448 279 231 226 189 9 907
Ashley Thelen United States 6 406 0.9× 235 0.8× 234 1.0× 156 0.7× 142 0.8× 7 778
Mariana E. G. de Araújo Austria 14 858 1.9× 500 1.8× 359 1.6× 179 0.8× 253 1.3× 21 1.4k
Alexandria Colaço United Kingdom 11 351 0.8× 169 0.6× 136 0.6× 258 1.1× 142 0.8× 12 670
Reini E.N. van der Welle United States 5 266 0.6× 193 0.7× 133 0.6× 120 0.5× 118 0.6× 5 540
Amy Y. Huang United States 11 312 0.7× 238 0.9× 67 0.3× 254 1.1× 95 0.5× 13 645
Ofer Moldavski United States 10 652 1.5× 289 1.0× 159 0.7× 152 0.7× 109 0.6× 11 970
McKenna Feltes United States 5 234 0.5× 126 0.5× 109 0.5× 129 0.6× 99 0.5× 6 473
Calvin F. Roff United States 17 681 1.5× 334 1.2× 78 0.3× 558 2.5× 151 0.8× 20 1.3k
Nicole C. McKnight United States 12 558 1.2× 219 0.8× 574 2.5× 76 0.3× 109 0.6× 13 1.0k
Hervé Barrière Canada 16 799 1.8× 352 1.3× 123 0.5× 117 0.5× 43 0.2× 17 1.3k

Countries citing papers authored by Oliver B. Davis

Since Specialization
Citations

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

Fields of papers citing papers by Oliver B. Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Oliver B. Davis. 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 Oliver B. Davis. The network helps show where Oliver B. Davis may publish in the future.

Co-authorship network of co-authors of Oliver B. Davis

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

All Works

9 of 9 papers shown
1.
Zhu, Sha, Yanping Zhu, Xi Chen, et al.. (2023). A Fixable Fluorescence‐Quenched Substrate for Quantitation of Lysosomal Glucocerebrosidase Activity in Both Live and Fixed Cells. Angewandte Chemie. 135(40). 1 indexed citations
2.
Zhu, Sha, Yanping Zhu, Xi Chen, et al.. (2023). A Fixable Fluorescence‐Quenched Substrate for Quantitation of Lysosomal Glucocerebrosidase Activity in Both Live and Fixed Cells. Angewandte Chemie International Edition. 62(40). e202309306–e202309306. 10 indexed citations
3.
Wang, Xiang, Vitaliy V. Bondar, Oliver B. Davis, et al.. (2023). Rab12 is a regulator of LRRK2 and its activation by damaged lysosomes. eLife. 12. 16 indexed citations
4.
Shin, Hijai R., Lei Wang, Yusuke Sugasawa, et al.. (2022). Lysosomal GPCR-like protein LYCHOS signals cholesterol sufficiency to mTORC1. Science. 377(6612). 1290–1298. 62 indexed citations
5.
Davis, Oliver B., Hijai R. Shin, Chun-Yan Lim, et al.. (2020). NPC1-mTORC1 Signaling Couples Cholesterol Sensing to Organelle Homeostasis and Is a Targetable Pathway in Niemann-Pick Type C. Developmental Cell. 56(3). 260–276.e7. 132 indexed citations
6.
Davis, Oliver B., Hijai R. Shin, Zuopeng Zhang, et al.. (2019). ER–lysosome contacts enable cholesterol sensing by mTORC1 and drive aberrant growth signalling in Niemann–Pick type C. Nature Cell Biology. 21(10). 1206–1218. 220 indexed citations
7.
Castellano, Brian M., Ashley Thelen, Ofer Moldavski, et al.. (2017). Lysosomal cholesterol activates mTORC1 via an SLC38A9–Niemann-Pick C1 signaling complex. Science. 355(6331). 1306–1311. 394 indexed citations breakdown →
8.
Pereyra, Florencia, David Heckerman, Jonathan M. Carlson, et al.. (2014). HIV Control Is Mediated in Part by CD8 + T-Cell Targeting of Specific Epitopes. Journal of Virology. 88(22). 12937–12948. 57 indexed citations
9.
Davis, Oliver B. & Anthony C. Bishop. (2012). Specific Inhibition of Sensitized Protein Tyrosine Phosphatase 1B (PTP1B) with a Biarsenical Probe. Bioconjugate Chemistry. 23(2). 272–278. 15 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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