Charles T. Putman

3.1k total citations · 1 hit paper
47 papers, 2.4k citations indexed

About

Charles T. Putman is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Charles T. Putman has authored 47 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 19 papers in Physiology and 12 papers in Cell Biology. Recurrent topics in Charles T. Putman's work include Muscle Physiology and Disorders (24 papers), Muscle metabolism and nutrition (11 papers) and Adipose Tissue and Metabolism (9 papers). Charles T. Putman is often cited by papers focused on Muscle Physiology and Disorders (24 papers), Muscle metabolism and nutrition (11 papers) and Adipose Tissue and Metabolism (9 papers). Charles T. Putman collaborates with scholars based in Canada, Germany and France. Charles T. Putman's co-authors include Tessa Gordon, Janka Hegedus, Walter T. Dixon, Vera C. Mazurak, Vickie E. Baracos, Nina Esfandiari, Jocelyn B. Aubrey, Jérôme Frenette, François-Alexandre Buteau and Dirk Pette and has published in prestigious journals such as PLoS ONE, The Journal of Physiology and Journal of Neurophysiology.

In The Last Decade

Charles T. Putman

47 papers receiving 2.4k 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.

Measurement of skeletal muscle radiation attenuation and basis of its biological variation

2014 520 citations Vickie E. Baracos, Charles T. Putman et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Charles T. Putman Canada	24	862	757	469	387	283	47	2.4k
Veena M. Bhopale United States	29	268 0.3×	1.0k 1.3×	336 0.7×	147 0.4×	152 0.5×	74	2.6k
Martin K. Childers United States	32	389 0.5×	1.3k 1.7×	793 1.7×	278 0.7×	551 1.9×	97	2.9k
Kazumoto Shibuya Japan	33	367 0.4×	616 0.8×	2.0k 4.3×	785 2.0×	203 0.7×	189	3.4k
C. Goddard United Kingdom	23	234 0.3×	716 0.9×	59 0.1×	123 0.3×	147 0.5×	74	1.7k
Anna Skottner Sweden	34	516 0.6×	1.3k 1.7×	161 0.3×	138 0.4×	551 1.9×	83	3.6k
Susan Hall United Kingdom	37	519 0.6×	934 1.2×	520 1.1×	125 0.3×	607 2.1×	83	3.8k
Wen‐Lang Lin United States	19	815 0.9×	1.0k 1.4×	679 1.4×	227 0.6×	109 0.4×	36	2.6k
Lan Zhou United States	30	537 0.6×	1.6k 2.1×	357 0.8×	356 0.9×	508 1.8×	66	3.0k
Julien Ochala United Kingdom	28	770 0.9×	1.9k 2.5×	125 0.3×	282 0.7×	198 0.7×	95	3.2k
Bianca Maria Scicchitano Italy	25	556 0.6×	1.1k 1.4×	186 0.4×	312 0.8×	135 0.5×	51	2.0k

Countries citing papers authored by Charles T. Putman

Since Specialization

Citations

This map shows the geographic impact of Charles T. Putman'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 Charles T. Putman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles T. Putman more than expected).

Fields of papers citing papers by Charles T. Putman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles T. Putman. 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 Charles T. Putman. The network helps show where Charles T. Putman may publish in the future.

Co-authorship network of co-authors of Charles T. Putman

This figure shows the co-authorship network connecting the top 25 collaborators of Charles T. Putman. A scholar is included among the top collaborators of Charles T. Putman 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 Charles T. Putman. Charles T. Putman 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

Miklavcic, John, Karen J. B. Martins, Vickie E. Baracos, et al.. (2017). Fish oil mitigates myosteatosis and improves chemotherapy efficacy in a preclinical model of colon cancer. PLoS ONE. 12(8). e0183576–e0183576. 23 indexed citations

Martins, Karen J. B., Gordon K. Murdoch, Ian M. MacLean, et al.. (2012). Nitric oxide synthase inhibition prevents activity‐induced calcineurin–NFATc1 signalling and fast‐to‐slow skeletal muscle fibre type conversions. The Journal of Physiology. 590(6). 1427–1442. 46 indexed citations

Bamford, Jeremy Andrew, Charles T. Putman, & Vivian K. Mushahwar. (2010). Muscle Plasticity in Rat Following Spinal Transection and Chronic Intraspinal Microstimulation. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 19(1). 79–83. 13 indexed citations

Bernreuther, Christian, Nicole Grabinski, Charles T. Putman, et al.. (2009). Plasminogen Activator Inhibitor Type 1 Up-Regulation Is Associated with Skeletal Muscle Atrophy and Associated Fibrosis. American Journal Of Pathology. 175(2). 763–771. 27 indexed citations

Hegedus, Janka, Charles T. Putman, & Tessa Gordon. (2009). Progressive motor unit loss in the G93A mouse model of amyotrophic lateral sclerosis is unaffected by gender. Muscle & Nerve. 39(3). 318–327. 34 indexed citations

Gordon, Tessa, et al.. (2009). Functional over-load saves motor units in the SOD1-G93A transgenic mouse model of amyotrophic lateral sclerosis. Neurobiology of Disease. 37(2). 412–422. 35 indexed citations

Gallo, Maria Eugênia Noviski, Ian M. MacLean, Neil Tyreman, et al.. (2008). Adaptive responses to creatine loading and exercise in fast-twitch rat skeletal muscle. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 294(4). R1319–R1328. 15 indexed citations

Hegedus, Janka, Charles T. Putman, Neil Tyreman, & Tessa Gordon. (2008). Preferential motor unit loss in the SOD1^G93A transgenic mouse model of amyotrophic lateral sclerosis. The Journal of Physiology. 586(14). 3337–3351. 195 indexed citations

Putman, Charles T., Karen J. B. Martins, Maria Eugênia Noviski Gallo, et al.. (2007). α-Catalytic subunits of 5′AMP-activated protein kinase display fiber-specific expression and are upregulated by chronic low-frequency stimulation in rat muscle. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 293(3). R1325–R1334. 20 indexed citations

10.

Foxcroft, G. R., Michael Vinsky, Francois Paradis, et al.. (2007). Macroenvironment effects on oocytes and embryos in swine. Theriogenology. 68. S30–S39. 28 indexed citations

11.

Harris, R. Luke, Charles T. Putman, Michelle M. Rank, Leo Sanelli, & David J. Bennett. (2006). Spastic Tail Muscles Recover From Myofiber Atrophy and Myosin Heavy Chain Transformations in Chronic Spinal Rats. Journal of Neurophysiology. 97(2). 1040–1051. 16 indexed citations

12.

Martins, Karen J. B., Tessa Gordon, Dirk Pette, et al.. (2006). Effect of satellite cell ablation on low‐frequency‐stimulated fast‐to‐slow fibre‐type transitions in rat skeletal muscle. The Journal of Physiology. 572(1). 281–294. 22 indexed citations

13.

Putman, Charles T., et al.. (2006). The effect of varying the time of concentric and eccentric muscle actions during resistance training on skeletal muscle adaptations in women. European Journal of Applied Physiology. 97(4). 443–453. 29 indexed citations

14.

Bamford, Jeremy Andrew, Charles T. Putman, & Vivian K. Mushahwar. (2005). Intraspinal microstimulation preferentially recruits fatigue‐resistant muscle fibres and generates gradual force in rat. The Journal of Physiology. 569(3). 873–884. 65 indexed citations

15.

Putman, Charles T., Walter T. Dixon, J. Pearcey, et al.. (2004). Chronic low-frequency stimulation upregulates uncoupling protein-3 in transforming rat fast-twitch skeletal muscle. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 287(6). R1419–R1426. 21 indexed citations

16.

MacLean, Ian M., et al.. (2004). Effects of spaceflight on myosin heavy-chain content, fibre morphology and succinate dehydrogenase activity in rat diaphragm. Pflügers Archiv - European Journal of Physiology. 448(2). 239–247. 12 indexed citations

17.

Gallo, Maria Eugênia Noviski, Tessa Gordon, Neil Tyreman, Yang Shu, & Charles T. Putman. (2004). Reliability of isolated isometric function measures in rat muscles composed of different fibre types. Experimental Physiology. 89(5). 583–592. 17 indexed citations

18.

Putman, Charles T., Mónika Kiricsi, J. Pearcey, et al.. (2003). AMPK activation increases uncoupling protein-3 expression and mitochondrial enzyme activities in rat muscle without fibre type transitions. The Journal of Physiology. 551(1). 169–178. 70 indexed citations

19.

Peuker, Heidemarie, Agnès Conjard, Charles T. Putman, & Dirk Pette. (1999). Transient expression of myosin heavy chain MHCIα in rabbit muscle during fast-to-slow transition. Journal of Muscle Research and Cell Motility. 20(2). 147–154. 25 indexed citations

20.

Putman, Charles T., Agnès Conjard, Heidemarie Peuker, & Dirk Pette. (1999). α-cardiac-like myosin heavy chain MHCIα is not upregulated in transforming rat muscle. Journal of Muscle Research and Cell Motility. 20(2). 155–162. 23 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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