John Perrino

3.2k total citations · 2 hit papers
14 papers, 2.5k citations indexed

About

John Perrino is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, John Perrino has authored 14 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Cell Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in John Perrino's work include Herpesvirus Infections and Treatments (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Cellular transport and secretion (2 papers). John Perrino is often cited by papers focused on Herpesvirus Infections and Treatments (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Cellular transport and secretion (2 papers). John Perrino collaborates with scholars based in United States, Germany and Canada. John Perrino's co-authors include Lydia‐Marie Joubert, Ai Leen Koh, Yuzhang Li, Benjamin Butz, Chun-Lan Wu, Yanbin Li, Yi Cui, Yi Yu, Kai Yan and Allen Pei and has published in prestigious journals such as Science, Cell and Nature Communications.

In The Last Decade

John Perrino

14 papers receiving 2.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Atomic structure of sensitive battery materials and interfaces revealed by cryo–electron microscopy

2017 1.2k citations Yuzhang Li, Yanbin Li et al. Science profile →
Stepwise Recruitment of Transcellular and Paracellular Pathways Underlies Blood-Brain Barrier Breakdown in Stroke

2014 496 citations Daniel Knowland, Ahmet Arac et al. Neuron profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John Perrino United States	12	1.1k	642	554	368	282	14	2.5k
Jihoon Ko South Korea	22	324 0.3×	128 0.2×	441 0.8×	109 0.3×	203 0.7×	52	2.5k
Andreas Hofmann Germany	31	1.0k 0.9×	455 0.7×	989 1.8×	83 0.2×	168 0.6×	117	2.8k
Robert M. Raphael United States	30	124 0.1×	146 0.2×	879 1.6×	147 0.4×	109 0.4×	67	3.1k
Noo Li Jeon United States	20	498 0.4×	92 0.1×	461 0.8×	89 0.2×	321 1.1×	33	3.3k
Ana Paula Pêgo Portugal	36	117 0.1×	96 0.1×	1.4k 2.5×	114 0.3×	691 2.5×	107	4.1k
Tit Meng Lim Singapore	25	398 0.4×	25 0.0×	871 1.6×	83 0.2×	205 0.7×	54	2.5k
Hyun Seok Song South Korea	38	1.1k 1.0×	21 0.0×	1.3k 2.3×	412 1.1×	490 1.7×	85	4.3k
Barbara Cortese Italy	27	339 0.3×	46 0.1×	328 0.6×	178 0.5×	142 0.5×	68	2.2k
Peggy Chan Australia	31	397 0.4×	86 0.1×	587 1.1×	24 0.1×	176 0.6×	65	3.1k
Yinqing Li China	21	265 0.2×	73 0.1×	6.1k 11.0×	142 0.4×	325 1.2×	53	7.0k

Countries citing papers authored by John Perrino

Since Specialization

Citations

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

Fields of papers citing papers by John Perrino

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Perrino

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

All Works

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14 of 14 papers shown

Jahanbani, Fereshteh, et al.. (2022). Phenotypic characteristics of peripheral immune cells of Myalgic encephalomyelitis/chronic fatigue syndrome via transmission electron microscopy: A pilot study. PLoS ONE. 17(8). e0272703–e0272703. 10 indexed citations

Crapster, J.A., Philip D. Rack, Christopher M. Adams, et al.. (2020). HIPK4 is essential for murine spermiogenesis. eLife. 9. 45 indexed citations

Laufman, Orly, John Perrino, & Raul Andino. (2019). Viral Generated Inter-Organelle Contacts Redirect Lipid Flux for Genome Replication. Cell. 178(2). 275–289.e16. 106 indexed citations

Fu, Meng‐meng, Thomas S. McAlear, Huy Nguyen, et al.. (2019). The Golgi Outpost Protein TPPP Nucleates Microtubules and Is Critical for Myelination. Cell. 179(1). 132–146.e14. 89 indexed citations

Li, Yuzhang, Yanbin Li, Allen Pei, et al.. (2017). Atomic structure of sensitive battery materials and interfaces revealed by cryo–electron microscopy. Science. 358(6362). 506–510. 1249 indexed citations breakdown →

Miyazaki, Yusuke, Kota Mizumoto, G.K. Dey, et al.. (2016). A method to rapidly create protein aggregates in living cells. Nature Communications. 7(1). 11689–11689. 25 indexed citations

Knowland, Daniel, Ahmet Arac, Martin Hsu, et al.. (2014). Stepwise Recruitment of Transcellular and Paracellular Pathways Underlies Blood-Brain Barrier Breakdown in Stroke. Neuron. 82(3). 603–617. 496 indexed citations breakdown →

Richardson, Claire E., Kerri Spilker, Juan G. Cueva, et al.. (2014). PTRN-1, a microtubule minus end-binding CAMSAP homolog, promotes microtubule function in Caenorhabditis elegans neurons. eLife. 3. e01498–e01498. 74 indexed citations

Reichelt, Mike, et al.. (2012). 3D Reconstruction of VZV Infected Cell Nuclei and PML Nuclear Cages by Serial Section Array Scanning Electron Microscopy and Electron Tomography. PLoS Pathogens. 8(6). e1002740–e1002740. 39 indexed citations

10.

Reichelt, Mike, et al.. (2012). 3D Reconstruction of Varicella-Zoster Virus Infected Host Cell Nuclei and PML Cages by Serial Section Array-SEM and TEM Tomography.. Microscopy and Microanalysis. 18(S2). 176–177. 1 indexed citations

11.

Reichelt, Mike, Li Wang, Marvin Sommer, et al.. (2011). Entrapment of Viral Capsids in Nuclear PML Cages Is an Intrinsic Antiviral Host Defense against Varicella-Zoster Virus. PLoS Pathogens. 7(2). e1001266–e1001266. 79 indexed citations

12.

Watts, Ryan J., Oren Schuldiner, John Perrino, Camilla Larsen, & Liqun Luo. (2004). Glia Engulf Degenerating Axons during Developmental Axon Pruning. Current Biology. 14(8). 678–684. 179 indexed citations

13.

Schonbaum, Christopher P., John Perrino, & Anthony P. Mahowald. (2000). Regulation of the Vitellogenin Receptor duringDrosophila melanogasterOogenesis. Molecular Biology of the Cell. 11(2). 511–521. 99 indexed citations

14.

Pascucci, Tiziana, John Perrino, Anthony P. Mahowald, & Gail L. Waring. (1996). Eggshell Assembly in Drosophila: Processing and Localization of Vitelline Membrane and Chorion Proteins. Developmental Biology. 177(2). 590–598. 50 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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