Eric S. Bensen

941 total citations
16 papers, 765 citations indexed

About

Eric S. Bensen is a scholar working on Molecular Biology, Biotechnology and Biomedical Engineering. According to data from OpenAlex, Eric S. Bensen has authored 16 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Biotechnology and 7 papers in Biomedical Engineering. Recurrent topics in Eric S. Bensen's work include Cancer Research and Treatments (7 papers), Nanoplatforms for cancer theranostics (7 papers) and Fungal and yeast genetics research (6 papers). Eric S. Bensen is often cited by papers focused on Cancer Research and Treatments (7 papers), Nanoplatforms for cancer theranostics (7 papers) and Fungal and yeast genetics research (6 papers). Eric S. Bensen collaborates with scholars based in United States, France and Australia. Eric S. Bensen's co-authors include Judith Berman, Gregory S. Payne, Giancarlo Costaguta, Dana A. Davis, Mingchun Li, Samuel Martin, Scott G. Filler, Christopher J. Stefan, Scott D. Emr and Kenneth R. Finley and has published in prestigious journals such as Molecular and Cellular Biology, Genetics and Clinical Cancer Research.

In The Last Decade

Eric S. Bensen

15 papers receiving 754 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eric S. Bensen United States	10	457	319	268	230	104	16	765
Michiyo Okamoto Japan	15	405 0.9×	225 0.7×	274 1.0×	216 0.9×	83 0.8×	32	720
María Luisa Hernáez Spain	16	391 0.9×	221 0.7×	96 0.4×	156 0.7×	71 0.7×	30	726
Josée Ash Canada	10	393 0.9×	236 0.7×	96 0.4×	170 0.7×	115 1.1×	10	588
Sandy Vandoninck Belgium	15	395 0.9×	241 0.8×	76 0.3×	162 0.7×	258 2.5×	21	850
M. B. Arnaud United States	7	373 0.8×	229 0.7×	64 0.2×	129 0.6×	98 0.9×	8	582
H. Bart van den Hazel Denmark	10	556 1.2×	92 0.3×	251 0.9×	102 0.4×	91 0.9×	10	726
Wonja Choi South Korea	20	727 1.6×	158 0.5×	187 0.7×	102 0.4×	137 1.3×	38	944
Patricia Ponce‐Noyola Mexico	12	302 0.7×	183 0.6×	100 0.4×	263 1.1×	274 2.6×	26	707
Karlett J. Parra United States	19	811 1.8×	146 0.5×	84 0.3×	111 0.5×	54 0.5×	26	1.0k
Amelia Murgui Spain	13	263 0.6×	284 0.9×	39 0.1×	172 0.7×	166 1.6×	22	570

Countries citing papers authored by Eric S. Bensen

Since Specialization

Citations

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

Fields of papers citing papers by Eric S. Bensen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric S. Bensen

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

All Works

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16 of 16 papers shown

Bou‐Samra, Patrick, Gregory T. Kennedy, Austin Chang, et al.. (2024). Phase 2 Clinical Trial of VGT-309 for Intraoperative Molecular Imaging During Pulmonary Resection. The Annals of Thoracic Surgery. 119(3). 625–633. 3 indexed citations

Wright, Gavin, Michael Egan, Curtis L. Scribner, Eric S. Bensen, & John T. Santini. (2023). MA11.06 Results from a Phase II trial of a Tumor-Activated Fluorescent Molecule for the Intra-Operative Identification of Lung Cancer. Journal of Thoracic Oncology. 18(11). S138–S139.

Bou‐Samra, Patrick, Austin Chang, Feredun Azari, et al.. (2023). Cathepsin detection to identify malignant cells during robotic pulmonary resection. Translational Lung Cancer Research. 12(12). 2370–2380. 3 indexed citations

Kennedy, Gregory T., David E. Holt, Feredun Azari, et al.. (2022). A Cathepsin-Targeted Quenched Activity–Based Probe Facilitates Enhanced Detection of Human Tumors during Resection. Clinical Cancer Research. 28(17). 3729–3741. 28 indexed citations

Wen, Wei, et al.. (2022). In Vivo Visualization of Gastric, Colon, and Pancreatic Adenocarcinomas Using a Novel Cathepsin-Activated Fluorescent Probe VGT-309. Journal of the American College of Surgeons. 235(5). S246–S246. 1 indexed citations

Wen, Wei, Eric S. Bensen, John T. Santini, et al.. (2022). Preclinical evaluation of a novel cathepsin-activated fluorescent probe VGT-309 for identification of ovarian cancer in a mouse model (248). Gynecologic Oncology. 166. S134–S134. 2 indexed citations

Suurs, Frans V., Joshua J. Yim, Carolien P. Schröder, et al.. (2020). Fluorescent image-guided surgery in breast cancer by intravenous application of a quenched fluorescence activity-based probe for cysteine cathepsins in a syngeneic mouse model. EJNMMI Research. 10(1). 111–111. 35 indexed citations

Gale, Cheryl A., Michelle Leonard, Kenneth R. Finley, et al.. (2009). SLA2 mutations cause SWE1-mediated cell cycle phenotypes in Candida albicans and Saccharomyces cerevisiae. Microbiology. 155(12). 3847–3859. 18 indexed citations

Bensen, Eric S., Andrés Clemente‐Blanco, Kenneth R. Finley, Jaime Correa‐Bordes, & Judith Berman. (2005). The Mitotic Cyclins Clb2p and Clb4p Affect Morphogenesis inCandida albicans. Molecular Biology of the Cell. 16(7). 3387–3400. 77 indexed citations

10.

Bensen, Eric S., Samuel Martin, Mingchun Li, Judith Berman, & Dana A. Davis. (2004). Transcriptional profiling in Candida albicans reveals new adaptive responses to extracellular pH and functions for Rim101p. Molecular Microbiology. 54(5). 1335–1351. 200 indexed citations

11.

Bensen, Eric S., Scott G. Filler, & Judith Berman. (2002). A Forkhead Transcription Factor Is Important for True Hyphal as well as Yeast Morphogenesis in Candida albicans. Eukaryotic Cell. 1(5). 787–798. 101 indexed citations

12.

Bensen, Eric S., et al.. (2001). Candida albicans INT1 -Induced Filamentation in Saccharomyces cerevisiae Depends on Sla2p. Molecular and Cellular Biology. 21(4). 1272–1284. 43 indexed citations

13.

Costaguta, Giancarlo, Christopher J. Stefan, Eric S. Bensen, Scott D. Emr, & Gregory S. Payne. (2001). Yeast Gga Coat Proteins Function with Clathrin in Golgi to Endosome Transport. Molecular Biology of the Cell. 12(6). 1885–1896. 120 indexed citations

14.

Bensen, Eric S., et al.. (2001). Ric1p and the Ypt6p GTPase Function in a Common Pathway Required for Localization ofTrans-Golgi Network Membrane Proteins. Molecular Biology of the Cell. 12(1). 13–26. 67 indexed citations

15.

Bensen, Eric S., Giancarlo Costaguta, & Gregory S. Payne. (2000). Synthetic Genetic Interactions With Temperature-Sensitive Clathrin in Saccharomyces cerevisiae: Roles for Synaptojanin-Like Inp53p and Dynamin-Related Vps1p in Clathrin-Dependent Protein Sorting at the trans-Golgi Network. Genetics. 154(1). 83–97. 63 indexed citations

16.

Bensen, Eric S., et al.. (1996). A membrane-bound protein kinase from rabbit reticulocytes is an active form of multipotential S6 kinase. Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology. 1292(2). 249–258. 4 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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