Jeffrey R. Johnson

13.0k total citations
96 papers, 5.1k citations indexed

About

Jeffrey R. Johnson is a scholar working on Molecular Biology, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Jeffrey R. Johnson has authored 96 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 18 papers in Epidemiology and 13 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Jeffrey R. Johnson's work include Ubiquitin and proteasome pathways (10 papers), HIV Research and Treatment (7 papers) and Fish Ecology and Management Studies (7 papers). Jeffrey R. Johnson is often cited by papers focused on Ubiquitin and proteasome pathways (10 papers), HIV Research and Treatment (7 papers) and Fish Ecology and Management Studies (7 papers). Jeffrey R. Johnson collaborates with scholars based in United States, United Kingdom and China. Jeffrey R. Johnson's co-authors include Nevan J. Krogan, John R. Yates, Neil L. Kelleher, Benjamin J. Cargile, Fanyu Meng, Warner C. Greene, Zhiyuan Yang, Gilad Doitsh, Kathryn M. Monroe and Xin Geng and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Jeffrey R. Johnson

92 papers receiving 5.0k citations

Peers

Jeffrey R. Johnson

PHEOH

IMMUN

EPIDE

SPECT

Qingsong Lin Singapore

Ramneek Gupta Denmark

Steven L. Spitalnik United States

Luc Camoin France

James I. MacRae United Kingdom

Simon J. Foote Australia

Bernd Thiede Norway

Kenneth C. Parker United States

Robert J. Edwards United Kingdom

Tomozumi Imamichi United States

Qingsong Lin Singapore

Jeffrey R. Johnson

2.6k ×1.0

480 ×0.5

PHEOH

645 ×0.7

IMMUN

658 ×0.9

EPIDE

406 ×0.8

SPECT

Citations per year, relative to Jeffrey R. Johnson Jeffrey R. Johnson (= 1×) peers Qingsong Lin

Countries citing papers authored by Jeffrey R. Johnson

Since Specialization

Citations

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

Fields of papers citing papers by Jeffrey R. Johnson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey R. Johnson. 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 Jeffrey R. Johnson. The network helps show where Jeffrey R. Johnson may publish in the future.

Co-authorship network of co-authors of Jeffrey R. Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey R. Johnson. A scholar is included among the top collaborators of Jeffrey R. Johnson 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 Jeffrey R. Johnson. Jeffrey R. Johnson 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

Fay, Allison, et al.. (2025). A split ALFA tag-nanobody system for protein localization and proximity proteomics in mycobacteria. mBio. 16(8). e0097125–e0097125.

Acklin, Joshua A., Shu Horiuchi, Satoshi Ikegame, et al.. (2024). Immunological landscape of human lymphoid explants during measles virus infection. JCI Insight. 9(17). 1 indexed citations

Aslam, Sadaf, Madhusudan Rajendran, Divya Kriti, et al.. (2023). Generation of a high yield vaccine backbone for influenza B virus in embryonated chicken eggs. npj Vaccines. 8(1). 12–12. 4 indexed citations

Nilsson-Payant, Benjamin E., Boris Bonaventure, Chengjin Ye, et al.. (2023). SARS-CoV-2 hijacks p38β/MAPK11 to promote virus replication. mBio. 14(4). e0100723–e0100723. 8 indexed citations

Zhao, Nan, Jessica Ho, Fanye Meng, et al.. (2023). Generation of host-directed and virus-specific antivirals using targeted protein degradation promoted by small molecules and viral RNA mimics. Cell Host & Microbe. 31(7). 1154–1169.e10. 16 indexed citations

Cakir, Zeynep, Samuel J. Lord, Yuan Zhou, et al.. (2023). Quantitative Proteomic Analysis Reveals apoE4-Dependent Phosphorylation of the Actin-Regulating Protein VASP. Molecular & Cellular Proteomics. 22(5). 100541–100541. 2 indexed citations

Price, James D., Susan Lindtner, Athéna R. Ypsilanti, et al.. (2022). DLX1 and the NuRD complex cooperate in enhancer decommissioning and transcriptional repression. Development. 149(11). 16 indexed citations

Hage, Adam, Preeti Bharaj, Sarah van Tol, et al.. (2022). The RNA helicase DHX16 recognizes specific viral RNA to trigger RIG-I-dependent innate antiviral immunity. Cell Reports. 38(10). 110434–110434. 29 indexed citations

Tsvetanova, Nikoleta G., Michelle Trester-Zedlitz, Billy W. Newton, et al.. (2021). Endosomal cAMP production broadly impacts the cellular phosphoproteome. Journal of Biological Chemistry. 297(1). 100907–100907. 35 indexed citations

10.

Igbaria, Aeid, Ala Trusina, Jeffrey R. Johnson, et al.. (2019). Chaperone-mediated reflux of secretory proteins to the cytosol during endoplasmic reticulum stress. Proceedings of the National Academy of Sciences. 116(23). 11291–11298. 42 indexed citations

11.

Fay, Allison, Nadine Czudnochowski, Jeremy M. Rock, et al.. (2019). Two Accessory Proteins Govern MmpL3 Mycolic Acid Transport in Mycobacteria. mBio. 10(3). 31 indexed citations

12.

Lo, Megan, Jennifer E. Kung, Małgorzata Dudkiewicz, et al.. (2019). PEAK3/C19orf35 pseudokinase, a new NFK3 kinase family member, inhibits CrkII through dimerization. Proceedings of the National Academy of Sciences. 116(31). 15495–15504. 15 indexed citations

13.

Li, Minghua, Jeffrey R. Johnson, Billy Truong, et al.. (2019). Identification of antiviral roles for the exon–junction complex and nonsense-mediated decay in flaviviral infection. Nature Microbiology. 4(6). 985–995. 52 indexed citations

14.

Min, Sang‐Won, Peter Sohn, Nino Devidze, et al.. (2018). SIRT1 Deacetylates Tau and Reduces Pathogenic Tau Spread in a Mouse Model of Tauopathy. Journal of Neuroscience. 38(15). 3680–3688. 108 indexed citations

15.

Eckhardt, Manon, Wei Zhang, Andrew M. Gross, et al.. (2018). Multiple Routes to Oncogenesis Are Promoted by the Human Papillomavirus–Host Protein Network. Cancer Discovery. 8(11). 1474–1489. 63 indexed citations

16.

Chen, Sihan, Gwendolyn Μ. Jang, Ruth Hüttenhain, et al.. (2018). CRL4 ^AMBRA1 targets Elongin C for ubiquitination and degradation to modulate CRL5 signaling. The EMBO Journal. 37(18). 12 indexed citations

17.

Wipperman, Matthew F., Brook E. Heaton, Richa Gupta, et al.. (2018). Mycobacterial Mutagenesis and Drug Resistance Are Controlled by Phosphorylation- and Cardiolipin-Mediated Inhibition of the RecA Coprotease. Molecular Cell. 72(1). 152–161.e7. 18 indexed citations

18.

Hull, Philip A., Mingjian Fei, Hye‐Sook Kwon, et al.. (2017). Metabolic reprogramming of human CD8+ memory T cells through loss of SIRT1. The Journal of Experimental Medicine. 215(1). 51–62. 97 indexed citations

19.

Sidrauski, Carmela, Jordan C. Tsai, Martin Kampmann, et al.. (2015). Pharmacological dimerization and activation of the exchange factor eIF2B antagonizes the integrated stress response. eLife. 4. e07314–e07314. 187 indexed citations

20.

Dong, Meng‐Qiu, John D. Venable, Tao Xu, et al.. (2007). Quantitative Mass Spectrometry Identifies Insulin Signaling Targets in C. elegans. Science. 317(5838). 660–663. 266 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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