David C. Gershlick

1.5k total citations
26 papers, 789 citations indexed

About

David C. Gershlick is a scholar working on Cell Biology, Molecular Biology and Physiology. According to data from OpenAlex, David C. Gershlick has authored 26 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cell Biology, 14 papers in Molecular Biology and 4 papers in Physiology. Recurrent topics in David C. Gershlick's work include Cellular transport and secretion (20 papers), Endoplasmic Reticulum Stress and Disease (8 papers) and Lipid Membrane Structure and Behavior (6 papers). David C. Gershlick is often cited by papers focused on Cellular transport and secretion (20 papers), Endoplasmic Reticulum Stress and Disease (8 papers) and Lipid Membrane Structure and Behavior (6 papers). David C. Gershlick collaborates with scholars based in United Kingdom, United States and Spain. David C. Gershlick's co-authors include Juan S. Bonifacino, Danièle Stalder, Jürgen Denecke, Francesca Bottanelli, Yu Chen, Carine De Marcos Lousa, Sangyoon Park, Ombretta Foresti, Chris Hawes and Eric Hummel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

David C. Gershlick

26 papers receiving 784 citations

Peers

David C. Gershlick
Natsuko Jin United States
Jacqueline Oakley United Kingdom
Bianka L. Grosshans United States
Derek C. Prosser United States
Christina Schindler United States
Heather Wheeler United States
Sharan Swarup United States
Johnathan J. Nau United States
Yongwang Zhong United States
Natsuko Jin United States
David C. Gershlick
Citations per year, relative to David C. Gershlick David C. Gershlick (= 1×) peers Natsuko Jin

Countries citing papers authored by David C. Gershlick

Since Specialization
Citations

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

Fields of papers citing papers by David C. Gershlick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David C. Gershlick. 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 David C. Gershlick. The network helps show where David C. Gershlick may publish in the future.

Co-authorship network of co-authors of David C. Gershlick

This figure shows the co-authorship network connecting the top 25 collaborators of David C. Gershlick. A scholar is included among the top collaborators of David C. Gershlick 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 David C. Gershlick. David C. Gershlick 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.
Guardia, Carlos M., David C. Gershlick, Jessica M. Logan, et al.. (2024). Altered expression of vesicular trafficking machinery in prostate cancer affects lysosomal dynamics and provides insight into the underlying biology and disease progression. British Journal of Cancer. 131(8). 1263–1278. 1 indexed citations
2.
Robinson, Margaret S., Robin Antrobus, Anneri Sanger, Alexandra K. Davies, & David C. Gershlick. (2024). The role of the AP-1 adaptor complex in outgoing and incoming membrane traffic. The Journal of Cell Biology. 223(7). 11 indexed citations
3.
Gershlick, David C., et al.. (2024). BEACH domain proteins in membrane trafficking and disease. The Journal of Cell Biology. 223(12). 2 indexed citations
4.
Harding, Edward C., et al.. (2024). A Short Sequence Targets Transmembrane Proteins to Primary Cilia. Cells. 13(13). 1156–1156. 1 indexed citations
5.
Stalder, Danièle, et al.. (2023). Recruitment of PI4KIIIβ to the Golgi by ACBD3 is dependent on an upstream pathway of a SNARE complex and golgins. Molecular Biology of the Cell. 35(2). ar20–ar20. 1 indexed citations
6.
Stalder, Danièle, Amber S. Shun-Shion, Robin Antrobus, et al.. (2023). The exocyst complex is an essential component of the mammalian constitutive secretory pathway. The Journal of Cell Biology. 222(5). 17 indexed citations
7.
Stalder, Danièle, Jianchao Zhang, Félix Rivera-Molina, et al.. (2022). Liquid–liquid phase separation facilitates the biogenesis of secretory storage granules. The Journal of Cell Biology. 221(12). 41 indexed citations
8.
Pace, Raffaella De, Lucas Tavares, Patricia V. Burgos, et al.. (2022). Clathrin adaptor AP-1–mediated Golgi export of amyloid precursor protein is crucial for the production of neurotoxic amyloid fragments. Journal of Biological Chemistry. 298(8). 102172–102172. 7 indexed citations
9.
Mamais, Adamantios, Jillian H. Kluss, Luis Bonet‐Ponce, et al.. (2021). Mutations in LRRK2 linked to Parkinson disease sequester Rab8a to damaged lysosomes and regulate transferrin-mediated iron uptake in microglia. PLoS Biology. 19(12). e3001480–e3001480. 57 indexed citations
10.
Sarić, Amra, Spencer A. Freeman, Chad D. Williamson, et al.. (2021). SNX19 restricts endolysosome motility through contacts with the endoplasmic reticulum. Nature Communications. 12(1). 4552–4552. 40 indexed citations
11.
Stalder, Danièle & David C. Gershlick. (2020). Direct trafficking pathways from the Golgi apparatus to the plasma membrane. Seminars in Cell and Developmental Biology. 107. 112–125. 91 indexed citations
12.
Beilina, Alexandra, Luis Bonet‐Ponce, Ravindran Kumaran, et al.. (2020). The Parkinson’s Disease Protein LRRK2 Interacts with the GARP Complex to Promote Retrograde Transport to the trans-Golgi Network. Cell Reports. 31(5). 107614–107614. 50 indexed citations
13.
Waheed, Abdül, et al.. (2019). The autophagy protein ATG9A promotes HIV-1 infectivity. Retrovirology. 16(1). 18–18. 16 indexed citations
14.
Chen, Yu, David C. Gershlick, Sangyoon Park, & Juan S. Bonifacino. (2017). Segregation in the Golgi complex precedes export of endolysosomal proteins in distinct transport carriers. The Journal of Cell Biology. 216(12). 4141–4151. 65 indexed citations
15.
Rojas, Adriana L., Chad D. Williamson, David C. Gershlick, et al.. (2017). Molecular mechanism for the subversion of the retromer coat by the Legionella effector RidL. Proceedings of the National Academy of Sciences. 114(52). E11151–E11160. 33 indexed citations
16.
Gershlick, David C., et al.. (2017). Physical Removal of the Midbody Remnant from Polarised Epithelial Cells Using Take-Up by Suction Pressure (TUSP). BIO-PROTOCOL. 7(8). e2244–e2244. 1 indexed citations
17.
Andrés, Germán, Natalia Reglero-Real, David C. Gershlick, et al.. (2016). Novel role for the midbody in primary ciliogenesis by polarized epithelial cells. The Journal of Cell Biology. 214(3). 259–273. 51 indexed citations
18.
Gershlick, David C., Christina Schindler, Yu Chen, & Juan S. Bonifacino. (2016). TSSC1 is novel component of the endosomal retrieval machinery. Molecular Biology of the Cell. 27(18). 2867–2878. 24 indexed citations
19.
Bonifacino, Juan S., David C. Gershlick, & Esteban C. Dell’Angelica. (2016). Immunoprecipitation. Current Protocols in Cell Biology. 71(1). 18 indexed citations
20.
Foresti, Ombretta, David C. Gershlick, Francesca Bottanelli, et al.. (2010). A Recycling-Defective Vacuolar Sorting Receptor Reveals an Intermediate Compartment Situated between Prevacuoles and Vacuoles in Tobacco. The Plant Cell. 22(12). 3992–4008. 68 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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