James M. Allen

6.8k total citations · 1 hit paper
75 papers, 5.6k citations indexed

About

James M. Allen is a scholar working on Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, James M. Allen has authored 75 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 40 papers in Genetics and 15 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in James M. Allen's work include Virus-based gene therapy research (38 papers), Muscle Physiology and Disorders (14 papers) and RNA Interference and Gene Delivery (13 papers). James M. Allen is often cited by papers focused on Virus-based gene therapy research (38 papers), Muscle Physiology and Disorders (14 papers) and RNA Interference and Gene Delivery (13 papers). James M. Allen collaborates with scholars based in United States, United Kingdom and Australia. James M. Allen's co-authors include Jeffrey S. Chamberlain, A. Dusty Miller, Paul Gregorevic, Christine L. Halbert, Michael J. Blankinship, David W. Russell, Leonard Meuse, Hans‐Peter Kiem, Daniel G. Miller and Eric Finn and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

James M. Allen

75 papers receiving 5.4k citations

Hit Papers

Systemic delivery of genes to striated muscles using aden... 2004 2026 2011 2018 2004 100 200 300 400 500

Peers

James M. Allen
Erik G. Puffenberger United States
D. Holmes Morton United States
Mark Leppert United States
G. Diane Shelton United States
D.S. Latchman United Kingdom
Erik G. Puffenberger United States
James M. Allen
Citations per year, relative to James M. Allen James M. Allen (= 1×) peers Erik G. Puffenberger

Countries citing papers authored by James M. Allen

Since Specialization
Citations

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

Fields of papers citing papers by James M. Allen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James M. Allen. 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 James M. Allen. The network helps show where James M. Allen may publish in the future.

Co-authorship network of co-authors of James M. Allen

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

All Works

20 of 20 papers shown
1.
Kelley-Clarke, Brenna, Christopher J. Nicolai, Lisa Nelson, et al.. (2013). Design of a Novel Integration-deficient Lentivector Technology That Incorporates Genetic and Posttranslational Elements to Target Human Dendritic Cells. Molecular Therapy. 22(3). 575–587. 30 indexed citations
2.
Wang, Zejing, Rainer Storb, Christine L. Halbert, et al.. (2012). Successful Regional Delivery and Long-term Expression of a Dystrophin Gene in Canine Muscular Dystrophy: A Preclinical Model for Human Therapies. Molecular Therapy. 20(8). 1501–1507. 65 indexed citations
3.
Donnelly, Conan, et al.. (2009). The Role of Exercise in Cancer Rehabilitation Across the UK: A Survey of Physiotherapists in Oncology and Palliative Care. Supportive Care in Cancer. 17(7). 1027–1027. 1 indexed citations
4.
Trobridge, Grant D., James M. Allen, Laura J. Peterson, et al.. (2009). Foamy and Lentiviral Vectors Transduce Canine Long-Term Repopulating Cells at Similar Efficiency. Human Gene Therapy. 20(5). 519–523. 19 indexed citations
5.
Gregorevic, Paul, Brian Schultz, James M. Allen, et al.. (2009). Evaluation of Vascular Delivery Methodologies to Enhance rAAV6-mediated Gene Transfer to Canine Striated Musculature. Molecular Therapy. 17(8). 1427–1433. 34 indexed citations
6.
Gregorevic, Paul, Michael J. Blankinship, James M. Allen, & Jeffrey S. Chamberlain. (2008). Systemic Microdystrophin Gene Delivery Improves Skeletal Muscle Structure and Function in Old Dystrophic mdx Mice. Molecular Therapy. 16(4). 657–664. 95 indexed citations
7.
Rankin, Jane, et al.. (2008). The Barriers and Facilitators to Exercise Across the Cancer Trajectory. Supportive Care in Cancer. 16. 1 indexed citations
8.
Bauer, Thomas R., James M. Allen, Mehreen Hai, et al.. (2007). Successful treatment of canine leukocyte adhesion deficiency by foamy virus vectors. Nature Medicine. 14(1). 93–97. 112 indexed citations
9.
Banks, Glen B., Paul Gregorevic, James M. Allen, Eric Finn, & Jeffrey S. Chamberlain. (2007). Functional capacity of dystrophins carrying deletions in the N-terminal actin-binding domain. Human Molecular Genetics. 16(17). 2105–2113. 51 indexed citations
10.
Gharwan, Helen, Roli K. Hirata, Robert E. Richard, et al.. (2007). Transduction of Human Embryonic Stem Cells by Foamy Virus Vectors. Molecular Therapy. 15(10). 1827–1833. 13 indexed citations
11.
Gregorevic, Paul, et al.. (2005). Phenotypic Improvement of Dystrophic Muscles by rAAV/Microdystrophin Vectors Is Augmented by Igf1 Codelivery. Molecular Therapy. 12(3). 441–450. 60 indexed citations
12.
Blankinship, Michael J., Paul Gregorevic, James M. Allen, et al.. (2004). Efficient transduction of skeletal muscle using vectors based on adeno-associated virus serotype 6. Molecular Therapy. 10(4). 671–678. 196 indexed citations
13.
Halbert, Christine L., James M. Allen, & A. Dusty Miller. (2002). Efficient mouse airway transduction following recombination between AAV vectors carrying parts of a larger gene. Nature Biotechnology. 20(7). 697–701. 98 indexed citations
14.
Weiss, Daniel J., et al.. (2000). Perfluorochemical Liquid Enhances Adeno-Associated Virus-Mediated Transgene Expression in Lungs. Molecular Therapy. 2(6). 624–630. 19 indexed citations
15.
Allen, James M., Christine L. Halbert, & A. Dusty Miller. (2000). Improved Adeno-Associated Virus Vector Production with Transfection of a Single Helper Adenovirus Gene, E4orf6. Molecular Therapy. 1(1). 88–95. 63 indexed citations
16.
Foster, Nadine E., et al.. (1999). Management of Nonspecific Low Back Pain by Physiotherapists in Britain and Ireland. Spine. 24(13). 1332–1332. 250 indexed citations
17.
Allen, James M., et al.. (1998). Body surface vector mapping for early diagnosis of acute myocardial infarction with left bundle branch block. Journal of the American College of Cardiology. 31. 229–229. 4 indexed citations
18.
Wildin, Robert S., Alex M. Garvin, Shashi Singh Pawar, et al.. (1991). Developmental regulation of lck gene expression in T lymphocytes.. The Journal of Experimental Medicine. 173(2). 383–393. 108 indexed citations
19.
Allen, James M., John G. McCarron, Noel G. McHale, & K. D. Thornbury. (1989). β‐adrenoceptor‐mediated facilitation of [3H]‐noradrenaline release from the intramural nerves of bovine mesenteric lymphatic vessels. British Journal of Pharmacology. 96(1). 45–50. 3 indexed citations
20.
Wolff, Lawrence J., L A Boxer, James M. Allen, & Robert L. Baehner. (1978). The selective effect of hyperoxia on the guinea pig alveolar macrophage membrane.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 24(4). 377–82. 10 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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