John P. Miller

1.3k total citations
18 papers, 907 citations indexed

About

John P. Miller is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, John P. Miller has authored 18 papers receiving a total of 907 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in John P. Miller's work include Cystic Fibrosis Research Advances (4 papers), Fungal and yeast genetics research (4 papers) and Neonatal Respiratory Health Research (3 papers). John P. Miller is often cited by papers focused on Cystic Fibrosis Research Advances (4 papers), Fungal and yeast genetics research (4 papers) and Neonatal Respiratory Health Research (3 papers). John P. Miller collaborates with scholars based in United States, Switzerland and Canada. John P. Miller's co-authors include Igor Štagljar, Stanley Fields, Russell S. Lo, Asa Ben‐Hur, William Stafford Noble, Robert E. Hughes, Safia Thaminy, Jennifer Holcomb, Ismael Al‐Ramahi and Juan Botas and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Biochemistry.

In The Last Decade

John P. Miller

18 papers receiving 895 citations

Peers

Countries citing papers authored by John P. Miller

Since Specialization

Citations

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

Fields of papers citing papers by John P. Miller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John P. Miller

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

All Works

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18 of 18 papers shown

#	Work	Indexed citations
1	Amplifiers co-translationally enhance CFTR biosynthesis via PCBP1-mediated regulation of CFTR mRNA 2020 ·Journal of Cystic Fibrosis ·Danijela Dukovski, Adriana Villella, (unknown), Randall W. King, Daniel Finley, Jeffery W. Kelly, Richard I. Morimoto, F. Ulrich Hartl, Benito Muñoz, (unknown), Marija Zecevic, John P. Miller	37
2	Identification of Compounds That Promote Readthrough of Premature Termination Codons in the CFTR 2020 ·SLAS DISCOVERY ·Emery Smith, Danijela Dukovski, (unknown), Louis Scampavia, John P. Miller, Timothy Spicer	6
3	A Homogeneous Cell-Based Halide-Sensitive Yellow Fluorescence Protein Assay to Identify Modulators of the Cystic Fibrosis Transmembrane Conductance Regulator Ion Channel 2017 ·Assay and Drug Development Technologies ·Emery Smith, Kenneth A. Giuliano, (unknown), Pierre Baillargeon, (unknown), Matthew D. Cullen, John P. Miller, (unknown), Louis Scampavia, Timothy Spicer	7
4	Use of a High-Throughput Phenotypic Screening Strategy to Identify Amplifiers, a Novel Pharmacological Class of Small Molecules That Exhibit Functional Synergy with Potentiators and Correctors 2017 ·SLAS DISCOVERY ·Kenneth A. Giuliano, Shinichiro Wachi, (unknown), Danijela Dukovski, (unknown), (unknown), Matthew D. Cullen, Sheila I. Hauck, Bradley D. Tait, Benito Muñoz, Po‐Shun Lee, John P. Miller	58
5	Gene Expression Profiles in Parkinson Disease Prefrontal Cortex Implicate FOXO1 and Genes under Its Transcriptional Regulation 2012 ·PLoS Genetics ·Alexandra Dumitriu, Jeanne C. Latourelle, Tiffany C. Hadzi, Nathan Pankratz, Dan Garza, John P. Miller, Jeffery M. Vance, Tatiana Foroud, Thomas G. Beach, Richard H. Myers	74
6	A Genome-Scale RNA–Interference Screen Identifies RRAS Signaling as a Pathologic Feature of Huntington's Disease 2012 ·PLoS Genetics ·John P. Miller, Bridget Yates, Ismael Al‐Ramahi, Ari Berman, Mario Sanhueza, Eugene S. Kim, María de Haro, (unknown), (unknown), Jennifer Holcomb, Juliette Gafni, Sean D. Mooney, Juan Botas, Lisa Ellerby, Robert E. Hughes	35
7	Matrix Metalloproteinases Are Modifiers of Huntingtin Proteolysis and Toxicity in Huntington's Disease 2010 ·Neuron ·John P. Miller, Jennifer Holcomb, Ismael Al‐Ramahi, María de Haro, Juliette Gafni, Ningzhe Zhang, Eugene S. Kim, Mario Sanhueza, (unknown), Seung Kwak, Juan Botas, Robert E. Hughes, Lisa Ellerby	136
8	Hph1 and Hph2 Are Novel Components of the Sec63/Sec62 Posttranslational Translocation Complex That Aid in Vacuolar Proton ATPase Biogenesis 2010 ·Eukaryotic Cell ·(unknown), Allyson F. O’Donnell, Silvère Pagant, Hai Lan Piao, John P. Miller, Stanley Fields, Elizabeth A. Miller, Martha Cyert	16
9	A Human Protein Interaction Network Shows Conservation of Aging Processes between Human and Invertebrate Species 2009 ·PLoS Genetics ·Russell Bell, Alan Hubbard, Rakesh Chettier, Di Chen, John P. Miller, Pankaj Kapahi, Mark A. Tarnopolsky, (unknown), Simon Melov, Robert E. Hughes	94
10	Packaging limits and stability of HIV-1 sequences in a coxsackievirus B vector 2009 ·Vaccine ·John P. Miller, Yongzhi Geng, Hwee L. Ng, Otto O. Yang, Paul Krogstad	12
11	Comparative analysis of Saccharomyces cerevisiaeWW domains and their interacting proteins 2006 ·Genome biology ·Jay R. Hesselberth, John P. Miller, (unknown), Jason Stajich, Gregory A. Michaud, Stanley Fields	51
12	Large-scale identification of yeast integral membrane protein interactions 2005 ·Proceedings of the National Academy of Sciences ·John P. Miller, Russell S. Lo, Asa Ben‐Hur, (unknown), Igor Štagljar, William Stafford Noble, Stanley Fields	202
13	Using the Yeast Two-Hybrid System to Identify Interacting Proteins 2004 ·Humana Press eBooks ·John P. Miller, Igor Štagljar	57
14	The Split-Ubiquitin Membrane-Based Yeast Two-Hybrid System 2004 ·Humana Press eBooks ·Safia Thaminy, John P. Miller, Igor Štagljar	62
15	Using Information Technology to Transform the Way We Learn 2001 ·UA Campus Repository (The University of Arizona) ·(unknown), W. Daniel Hillis, Robert E. Kahn, Ken Kennedy, John P. Miller, David C. Nagel, Edward H. Shortliffe, Larry Smarr, Joe F. Thompson, (unknown), (unknown), (unknown)	8
16	X-ray Diffraction Analysis of Cytochrome P450 2B4 Reconstituted into Liposomes 1996 ·Biochemistry ·John P. Miller, Leo G. Herbette, Ronald E. White	12
17	Muscle Capillary Basement Membrane Width and Its Relationship to Diabetes Mellitus in Monozygotic Twins 1983 ·Diabetes ·Om P. Ganda, J R Williamson, J. Stuart Soeldner, Ray E. Gleason, (unknown), (unknown), John P. Miller, Marvin R. Garovoy, Charles B. Carpenter	22
18	Management perceptions of government incentives to technological innovation in england, Trance, West Germany and Japan 1977 ·Research Policy ·Albert H. Rubenstein, (unknown), Horst Geschka, (unknown), John P. Miller, (unknown), David S. Watkins	18

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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