Eric Hastie

1.8k total citations
22 papers, 1.1k citations indexed

About

Eric Hastie is a scholar working on Genetics, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, Eric Hastie has authored 22 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 7 papers in Molecular Biology and 6 papers in Animal Science and Zoology. Recurrent topics in Eric Hastie's work include Virus-based gene therapy research (10 papers), Animal Virus Infections Studies (6 papers) and Genetics, Aging, and Longevity in Model Organisms (5 papers). Eric Hastie is often cited by papers focused on Virus-based gene therapy research (10 papers), Animal Virus Infections Studies (6 papers) and Genetics, Aging, and Longevity in Model Organisms (5 papers). Eric Hastie collaborates with scholars based in United States, China and France. Eric Hastie's co-authors include Valery Z. Grdzelishvili, R. Jude Samulski, David R. Sherwood, Marcela P. Cataldi, Qiuyi Chi, Laura C. Kelley, Megan Moerdyk‐Schauwecker, Ian Marriott, Daniel P. Keeley and Ranjay Jayadev and has published in prestigious journals such as The Journal of Cell Biology, Journal of Virology and Developmental Cell.

In The Last Decade

Eric Hastie

21 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric Hastie United States 15 590 500 251 173 171 22 1.1k
Gregory M. Shackleford United States 28 533 0.9× 1.8k 3.6× 408 1.6× 30 0.2× 222 1.3× 49 2.5k
Ali Nowrouzi Germany 19 999 1.7× 1.5k 3.0× 550 2.2× 28 0.2× 78 0.5× 28 2.0k
Celina Cziepluch Germany 19 499 0.8× 764 1.5× 283 1.1× 128 0.7× 117 0.7× 23 1.3k
Richard Surosky United States 20 1.1k 1.8× 2.2k 4.4× 369 1.5× 66 0.4× 123 0.7× 33 2.8k
R. S. Coffin United Kingdom 21 820 1.4× 761 1.5× 534 2.1× 93 0.5× 74 0.4× 43 1.7k
Jon Karpilow United States 16 401 0.7× 2.6k 5.2× 94 0.4× 60 0.3× 83 0.5× 23 3.0k
Concepción Martínez Spain 19 173 0.3× 1.6k 3.2× 68 0.3× 64 0.4× 136 0.8× 28 1.9k
Lorenz Vogt Switzerland 12 266 0.5× 404 0.8× 203 0.8× 20 0.1× 153 0.9× 13 904
Jiing‐Kuan Yee United States 26 1.2k 2.1× 2.3k 4.7× 724 2.9× 46 0.3× 309 1.8× 53 3.5k
Neelanjan Mukherjee United States 23 411 0.7× 3.0k 6.0× 425 1.7× 41 0.2× 88 0.5× 41 3.6k

Countries citing papers authored by Eric Hastie

Since Specialization
Citations

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

Fields of papers citing papers by Eric Hastie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Hastie

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Hastie. A scholar is included among the top collaborators of Eric Hastie 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 Eric Hastie. Eric Hastie 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.
Hastie, Eric, et al.. (2024). Creation and evaluation of a self-directed, first-year intervention for pre-health undergraduates: setting students up for success. Journal of Microbiology and Biology Education. 25(1). e0011523–e0011523.
3.
Keeley, Daniel P., Eric Hastie, Ranjay Jayadev, et al.. (2020). Comprehensive Endogenous Tagging of Basement Membrane Components Reveals Dynamic Movement within the Matrix Scaffolding. Developmental Cell. 54(1). 60–74.e7. 106 indexed citations
4.
Kelley, Laura C., Qiuyi Chi, Eric Hastie, et al.. (2019). Adaptive F-Actin Polymerization and Localized ATP Production Drive Basement Membrane Invasion in the Absence of MMPs. Developmental Cell. 48(3). 313–328.e8. 102 indexed citations
5.
Hastie, Eric, et al.. (2019). A Scalable CURE Using a CRISPR/Cas9 Fluorescent Protein Knock-In Strategy in Caenorhabditis elegans. Journal of Microbiology and Biology Education. 20(3). 9 indexed citations
6.
Jayadev, Ranjay, Qiuyi Chi, Daniel P. Keeley, et al.. (2019). α-Integrins dictate distinct modes of type IV collagen recruitment to basement membranes. The Journal of Cell Biology. 218(9). 3098–3116. 45 indexed citations
7.
Hastie, Eric, et al.. (2019). Endogenous expression of UNC-59/Septin in C. elegans. PubMed. 2019. 8 indexed citations
8.
Bressy, Christian, Eric Hastie, & Valery Z. Grdzelishvili. (2017). Combining Oncolytic Virotherapy with p53 Tumor Suppressor Gene Therapy. Molecular Therapy — Oncolytics. 5. 20–40. 36 indexed citations
9.
Naegeli, Kaleb M., Eric Hastie, Zheng Wang, et al.. (2017). Cell Invasion In Vivo via Rapid Exocytosis of a Transient Lysosome-Derived Membrane Domain. Developmental Cell. 43(4). 403–417.e10. 66 indexed citations
10.
Hastie, Eric & David R. Sherwood. (2016). A new front in cell invasion: The invadopodial membrane. European Journal of Cell Biology. 95(11). 441–448. 21 indexed citations
11.
Hastie, Eric, Marcela P. Cataldi, Megan Moerdyk‐Schauwecker, et al.. (2016). Novel biomarkers of resistance of pancreatic cancer cells to oncolytic vesicular stomatitis virus. Oncotarget. 7(38). 61601–61618. 36 indexed citations
12.
Hastie, Eric & R. Jude Samulski. (2015). Adeno-Associated Virus at 50: A Golden Anniversary of Discovery, Research, and Gene Therapy Success—A Personal Perspective. Human Gene Therapy. 26(5). 257–265. 213 indexed citations
13.
Hastie, Eric, Marcela P. Cataldi, Nury Steuerwald, & Valery Z. Grdzelishvili. (2015). An unexpected inhibition of antiviral signaling by virus-encoded tumor suppressor p53 in pancreatic cancer cells. Virology. 483. 126–140. 21 indexed citations
14.
Wang, Mian, et al.. (2015). Prediction of adeno-associated virus neutralizing antibody activity for clinical application. Gene Therapy. 22(12). 984–992. 42 indexed citations
15.
Hastie, Eric & R. Jude Samulski. (2015). Recombinant adeno-associated virus vectors in the treatment of rare diseases. Expert Opinion on Orphan Drugs. 3(6). 675–689. 16 indexed citations
16.
Hastie, Eric, Marcela P. Cataldi, Ian Marriott, & Valery Z. Grdzelishvili. (2013). Understanding and altering cell tropism of vesicular stomatitis virus. Virus Research. 176(1-2). 16–32. 103 indexed citations
17.
Hastie, Eric, Dahlia M. Besmer, Nirav Shah, et al.. (2013). Oncolytic Vesicular Stomatitis Virus in an Immunocompetent Model of MUC1-Positive or MUC1-Null Pancreatic Ductal Adenocarcinoma. Journal of Virology. 87(18). 10283–10294. 23 indexed citations
18.
Moerdyk‐Schauwecker, Megan, et al.. (2012). Resistance of pancreatic cancer cells to oncolytic vesicular stomatitis virus: Role of type I interferon signaling. Virology. 436(1). 221–234. 97 indexed citations
19.
Hastie, Eric & Valery Z. Grdzelishvili. (2012). Vesicular stomatitis virus as a flexible platform for oncolytic virotherapy against cancer. Journal of General Virology. 93(12). 2529–2545. 177 indexed citations
20.
Moerdyk‐Schauwecker, Megan, et al.. (2011). Detecting protein–protein interactions in vesicular stomatitis virus using a cytoplasmic yeast two hybrid system. Journal of Virological Methods. 173(2). 203–212. 7 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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