James G. Tidball

16.1k total citations · 3 hit papers
136 papers, 12.7k citations indexed

About

James G. Tidball is a scholar working on Molecular Biology, Rehabilitation and Cell Biology. According to data from OpenAlex, James G. Tidball has authored 136 papers receiving a total of 12.7k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Molecular Biology, 37 papers in Rehabilitation and 34 papers in Cell Biology. Recurrent topics in James G. Tidball's work include Muscle Physiology and Disorders (98 papers), Exercise and Physiological Responses (37 papers) and Adipose Tissue and Metabolism (19 papers). James G. Tidball is often cited by papers focused on Muscle Physiology and Disorders (98 papers), Exercise and Physiological Responses (37 papers) and Adipose Tissue and Metabolism (19 papers). James G. Tidball collaborates with scholars based in United States, Russia and Japan. James G. Tidball's co-authors include Melissa J. Spencer, Michelle Wehling‐Henricks, S. Armando Villalta, M. Wehling, Bo Deng, Hal X. Nguyen, Ying Wang, Barbara A. St. Pierre, Jérôme Frenette and Kenneth Dorshkind and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

James G. Tidball

136 papers receiving 12.5k citations

Hit Papers

Inflammatory processes in muscle injury and repair 2005 2026 2012 2019 2005 2010 2017 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James G. Tidball United States 59 8.6k 3.6k 3.1k 2.1k 1.8k 136 12.7k
Miranda D. Grounds Australia 58 7.9k 0.9× 1.6k 0.4× 2.7k 0.9× 1.5k 0.7× 2.3k 1.2× 233 10.5k
Sue C. Bodine United States 49 9.3k 1.1× 2.0k 0.6× 4.2k 1.4× 3.4k 1.7× 871 0.5× 125 13.1k
Gillian Butler‐Browne France 67 11.0k 1.3× 906 0.2× 3.7k 1.2× 2.8k 1.3× 2.3k 1.2× 292 15.7k
Pura Muñoz‐Cánoves Spain 51 7.1k 0.8× 1.3k 0.4× 2.9k 0.9× 1.1k 0.5× 1.4k 0.7× 123 10.4k
Shin’ichi Takeda Japan 70 12.6k 1.5× 1.1k 0.3× 2.9k 0.9× 1.7k 0.8× 3.4k 1.9× 427 17.5k
Antonio L. Serrano Spain 39 5.5k 0.6× 1.3k 0.3× 2.5k 0.8× 1.2k 0.6× 1.0k 0.6× 67 8.1k
John A. Faulkner United States 65 7.6k 0.9× 3.1k 0.8× 3.3k 1.1× 1.8k 0.9× 1.9k 1.0× 226 14.0k
Hannu Kalimo Finland 70 5.5k 0.6× 599 0.2× 2.4k 0.8× 1.5k 0.7× 2.1k 1.1× 312 15.4k
Se‐Jin Lee United States 44 12.2k 1.4× 834 0.2× 4.8k 1.5× 2.9k 1.4× 1.4k 0.8× 96 15.8k
Paolo Bonaldo Italy 56 6.6k 0.8× 630 0.2× 2.0k 0.6× 2.3k 1.1× 1.6k 0.9× 165 12.3k

Countries citing papers authored by James G. Tidball

Since Specialization
Citations

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

Fields of papers citing papers by James G. Tidball

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James G. Tidball

This figure shows the co-authorship network connecting the top 25 collaborators of James G. Tidball. A scholar is included among the top collaborators of James G. Tidball 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 G. Tidball. James G. Tidball 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.
Tidball, James G., Steven S. Welc, & Michelle Wehling‐Henricks. (2018). Immunobiology of Inherited Muscular Dystrophies. Comprehensive physiology. 8(4). 1313–1356. 110 indexed citations
2.
Tidball, James G. & Carmen Bertoni. (2014). Purloined Mechanisms of Bacterial Immunity Can Cure Muscular Dystrophy. Cell Metabolism. 20(6). 927–929. 1 indexed citations
3.
Curzi, Davide, Davide Lattanzi, Stefano Ciuffoli, et al.. (2013). Growth hormone plus resistance exercise attenuate structural changes in rat myotendinous junctions resulting from chronic unloading. European Journal of Histochemistry. 57(4). 37–37. 20 indexed citations
5.
Foster, William, James G. Tidball, & Yibin Wang. (2011). p38γ activity is required for maintenance of slow skeletal muscle size. Muscle & Nerve. 45(2). 266–273. 17 indexed citations
6.
Sakellariou, Giorgos K., Deborah Pye, Aphrodite Vasilaki, et al.. (2011). Role of superoxide–nitric oxide interactions in the accelerated age‐related loss of muscle mass in mice lacking Cu,Zn superoxide dismutase. Aging Cell. 10(5). 749–760. 64 indexed citations
7.
Villalta, S. Armando, et al.. (2010). Interleukin-10 reduces the pathology of mdx muscular dystrophy by deactivating M1 macrophages and modulating macrophage phenotype. Human Molecular Genetics. 20(4). 790–805. 235 indexed citations
9.
Akrami, Kevan, Ke Wei, Carlos De Diego, et al.. (2008). Muscleblind‐like 2 (Mbnl2) ‐deficient mice as a model for myotonic dystrophy. Developmental Dynamics. 237(2). 403–410. 46 indexed citations
10.
Acharyya, Swarnali, S. Armando Villalta, Nadine Bakkar, et al.. (2007). Interplay of IKK/NF-κB signaling in macrophages and myofibers promotes muscle degeneration in Duchenne muscular dystrophy. Journal of Clinical Investigation. 117(4). 889–901. 366 indexed citations
11.
Tidball, James G., et al.. (2003). Kinematic modeling of single muscle fiber during diaphragm shortening. Journal of Biomechanics. 36(3). 457–461. 3 indexed citations
12.
Nguyen, Hal X. & James G. Tidball. (2003). Interactions between neutrophils and macrophages promote macrophage killing of rat muscle cells in vitro. The Journal of Physiology. 547(1). 125–132. 121 indexed citations
13.
Spencer, Melissa J. & James G. Tidball. (2001). Do immune cells promote the pathology of dystrophin-deficient myopathies?. Neuromuscular Disorders. 11(6-7). 556–564. 141 indexed citations
14.
Wehling, M., Melissa J. Spencer, & James G. Tidball. (2001). A nitric oxide synthase transgene ameliorates muscular dystrophy in mdx mice. The Journal of Cell Biology. 155(1). 123–132. 433 indexed citations
15.
Spencer, Melissa J., James G. Tidball, Louise V.B. Anderson, et al.. (1997). Absence of calpain 3 in a form of limb-girdle muscular dystrophy (LGMD2A). Journal of the Neurological Sciences. 146(2). 173–178. 30 indexed citations
16.
Law, Douglas J., James G. Tidball, & Angelo A. Caputo. (1995). Site and mechanics of failure in normal and dystrophin‐deficient skeletal muscle. Muscle & Nerve. 18(2). 216–223. 38 indexed citations
17.
Tidball, James G.. (1995). Inflammatory cell response to acute muscle injury. Medicine & Science in Sports & Exercise. 27(7). 1022–1032. 370 indexed citations
18.
Tidball, James G., et al.. (1992). Developmental modulation of embryonic cardiac myocyte adhesion to cardiac collagens in vitro. Experimental Cell Research. 199(2). 341–348. 4 indexed citations
19.
Shattock, Michael J., K Warner, James G. Tidball, & Donald M. Bers. (1987). Two different electrophysiological responses toryanodine: Evidence for two populations of muscles isolated from the rabbit right ventricle. Journal of Molecular and Cellular Cardiology. 19(8). 751–762. 3 indexed citations
20.
Tidball, James G., et al.. (1986). Myotendinous junctions of tonic muscle cells: structure and loading. Cell and Tissue Research. 245(2). 315–22. 72 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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