Gary Eitzen

3.0k total citations
44 papers, 2.3k citations indexed

About

Gary Eitzen is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Gary Eitzen has authored 44 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 18 papers in Cell Biology and 12 papers in Immunology. Recurrent topics in Gary Eitzen's work include Cellular transport and secretion (18 papers), Peroxisome Proliferator-Activated Receptors (15 papers) and Fungal and yeast genetics research (9 papers). Gary Eitzen is often cited by papers focused on Cellular transport and secretion (18 papers), Peroxisome Proliferator-Activated Receptors (15 papers) and Fungal and yeast genetics research (9 papers). Gary Eitzen collaborates with scholars based in Canada, United States and Netherlands. Gary Eitzen's co-authors include William Wickner, Richard A. Rachubinski, Nathan Margolis, Albert Price, Darren F. Seals, Rachel K. Szilard, John D. Aitchison, Paige Lacy, Troy Mitchell and Michael Logan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Gary Eitzen

43 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gary Eitzen Canada	22	1.6k	1.1k	297	228	204	44	2.3k
Antti Salminen Finland	13	1.5k 0.9×	1.4k 1.3×	319 1.1×	162 0.7×	202 1.0×	22	2.4k
Katherine Bowers United Kingdom	25	1.5k 0.9×	823 0.8×	269 0.9×	289 1.3×	202 1.0×	35	2.4k
Aymelt Itzen Germany	29	1.8k 1.1×	1.2k 1.1×	400 1.3×	329 1.4×	267 1.3×	75	2.9k
Jennifer Lippincott‐Schwartz United States	8	1.3k 0.8×	1.1k 1.0×	270 0.9×	139 0.6×	183 0.9×	9	2.0k
Cristina Prescianotto‐Baschong Switzerland	21	1.9k 1.2×	1.1k 1.0×	181 0.6×	500 2.2×	227 1.1×	34	2.7k
Gabriele Turacchio Italy	21	1.7k 1.1×	1.2k 1.1×	154 0.5×	262 1.1×	308 1.5×	24	2.3k
Sandrine Uttenweiler‐Joseph France	21	1.7k 1.0×	991 0.9×	408 1.4×	219 1.0×	318 1.6×	37	2.5k
Barbara J. Reaves United Kingdom	26	1.1k 0.7×	1.1k 1.0×	253 0.9×	219 1.0×	366 1.8×	49	2.2k
Adriana L. Rojas Spain	19	940 0.6×	644 0.6×	123 0.4×	169 0.7×	266 1.3×	44	1.6k
Siew Heng Wong Singapore	26	1.8k 1.1×	1.5k 1.4×	311 1.0×	172 0.8×	312 1.5×	52	2.6k

Countries citing papers authored by Gary Eitzen

Since Specialization

Citations

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

Fields of papers citing papers by Gary Eitzen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gary Eitzen

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

All Works

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20 of 20 papers shown

Eitzen, Gary, et al.. (2025). A Guide to Basic RNA Sequencing Data Processing and Transcriptomic Analysis. BIO-PROTOCOL. 15(1370). e5295–e5295. 2 indexed citations

Eitzen, Gary, et al.. (2024). Inflammatory gene regulation by Cdc42 in airway epithelial cells. Cellular Signalling. 122. 111321–111321. 2 indexed citations

Eitzen, Gary, et al.. (2023). GEF-H1 Transduces FcεRI Signaling in Mast Cells to Activate RhoA and Focal Adhesion Formation during Exocytosis. Cells. 12(4). 537–537. 3 indexed citations

Shaheen, Farzana, et al.. (2023). Rac2 regulates immune complex–mediated granule polarization and exocytosis in neutrophils. Journal of Leukocyte Biology. 114(2). 116–125. 4 indexed citations

Eitzen, Gary, et al.. (2022). Cdc42 regulates cytokine expression and trafficking in bronchial epithelial cells. Frontiers in Immunology. 13. 1069499–1069499. 6 indexed citations

Lu, Lei, Shammy Raj, Narcy Arizmendi, et al.. (2021). Identification of short peptide sequences that activate human mast cells via Mas-related G-protein coupled receptor member X2. Acta Biomaterialia. 136. 159–169. 9 indexed citations

LaPointe, Paul, et al.. (2021). A Small Molecule Inhibitor of Pex3–Pex19 Interaction Disrupts Glycosome Biogenesis and Causes Lethality in Trypanosoma brucei. Frontiers in Cell and Developmental Biology. 9. 703603–703603. 8 indexed citations

Eitzen, Gary, et al.. (2017). The effect of Rho drugs on mast cell activation and degranulation. Journal of Leukocyte Biology. 102(1). 71–81. 23 indexed citations

Yang, Yang, et al.. (2015). Yeast Translation Elongation Factor-1A Binds Vacuole-localized Rho1p to Facilitate Membrane Integrity through F-actin Remodeling. Journal of Biological Chemistry. 290(8). 4705–4716. 14 indexed citations

10.

Eitzen, Gary, et al.. (2011). Proteomic analysis of secretagogue-stimulated neutrophils implicates a role for actin and actin-interacting proteins in Rac2-mediated granule exocytosis. Proteome Science. 9(1). 70–70. 12 indexed citations

11.

Eitzen, Gary & Michael Logan. (2011). Analysis of Rho GTPase Activation in Saccharomyces cerevisiae. Methods in molecular biology. 827. 369–380. 4 indexed citations

12.

Logan, Michael, et al.. (2009). Cdc42p Is Activated during Vacuole Membrane Fusion in a Sterol-dependent Subreaction of Priming. Journal of Biological Chemistry. 285(7). 4298–4306. 17 indexed citations

13.

Mitchell, Troy, et al.. (2008). Primary granule exocytosis in human neutrophils is regulated by Rac-dependent actin remodeling. American Journal of Physiology-Cell Physiology. 295(5). C1354–C1365. 84 indexed citations

14.

Forsberg, Daniel, et al.. (2007). Stimulation of Actin Polymerization by Vacuoles via Cdc42p-dependent Signaling. Journal of Biological Chemistry. 282(42). 30466–30475. 33 indexed citations

15.

Eitzen, Gary. (2003). Actin remodeling to facilitate membrane fusion. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1641(2-3). 175–181. 198 indexed citations

16.

Seeley, E. Scott, Masashi Kato, Nathan Margolis, William Wickner, & Gary Eitzen. (2002). Genomic Analysis of Homotypic Vacuole Fusion. Molecular Biology of the Cell. 13(3). 782–794. 141 indexed citations

17.

Eitzen, Gary. (2001). Rho1p and Cdc42p act after Ypt7p to regulate vacuole docking. The EMBO Journal. 20(20). 5650–5656. 93 indexed citations

18.

Eitzen, Gary. (2000). Sequential action of two GTPases to promote vacuole docking and fusion. The EMBO Journal. 19(24). 6713–6720. 74 indexed citations

19.

Eitzen, Gary. (1997). An analysis of peroxisome assembly mutants of the yeast yarrowia lipolytica. University of Alberta Library.

20.

Titorenko, Vladimir I., Gary Eitzen, & Richard A. Rachubinski. (1996). Mutations in the PAY5 Gene of the Yeast Yarrowia lipolytica Cause the Accumulation of Multiple Subpopulations of Peroxisomes. Journal of Biological Chemistry. 271(34). 20307–20314. 36 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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