Daniel I. Ogborn

1.3k total citations
16 papers, 717 citations indexed

About

Daniel I. Ogborn is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Daniel I. Ogborn has authored 16 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Cell Biology and 6 papers in Physiology. Recurrent topics in Daniel I. Ogborn's work include Muscle metabolism and nutrition (8 papers), Exercise and Physiological Responses (5 papers) and Adipose Tissue and Metabolism (5 papers). Daniel I. Ogborn is often cited by papers focused on Muscle metabolism and nutrition (8 papers), Exercise and Physiological Responses (5 papers) and Adipose Tissue and Metabolism (5 papers). Daniel I. Ogborn collaborates with scholars based in Canada, United States and New Zealand. Daniel I. Ogborn's co-authors include Mark A. Tarnopolsky, Justin D. Crane, Bryon R. McKay, Gianni Parise, Simon Melov, Jacqueline M. Bourgeois, Alan Hubbard, Phillip F. Gardiner, Leeann M. Bellamy and Jeff Baker and has published in prestigious journals such as PLoS ONE, The FASEB Journal and Medicine & Science in Sports & Exercise.

In The Last Decade

Daniel I. Ogborn

15 papers receiving 703 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel I. Ogborn Canada	10	315	275	221	171	87	16	717
Kaleen M. Lavin United States	17	310 1.0×	389 1.4×	155 0.7×	186 1.1×	113 1.3×	37	930
Teet Seene Estonia	15	349 1.1×	269 1.0×	296 1.3×	274 1.6×	103 1.2×	54	766
N. Yasuda United States	11	334 1.1×	249 0.9×	210 1.0×	110 0.6×	85 1.0×	32	728
Marcus Moberg Sweden	16	275 0.9×	314 1.1×	335 1.5×	156 0.9×	163 1.9×	42	758
Emily Louis United States	6	333 1.1×	367 1.3×	304 1.4×	233 1.4×	131 1.5×	10	717
Ian M. MacLean Canada	13	253 0.8×	202 0.7×	150 0.7×	98 0.6×	113 1.3×	19	549
Gudrun Schiffl Germany	12	293 0.9×	315 1.1×	147 0.7×	112 0.7×	86 1.0×	12	567
Thorsten Schiffer Germany	15	260 0.8×	280 1.0×	177 0.8×	169 1.0×	241 2.8×	42	900
Shuichi Machida Japan	22	782 2.5×	516 1.9×	253 1.1×	246 1.4×	118 1.4×	92	1.4k
Aivaras Ratkevičius United Kingdom	20	402 1.3×	391 1.4×	266 1.2×	174 1.0×	215 2.5×	59	1.2k

Countries citing papers authored by Daniel I. Ogborn

Since Specialization

Citations

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

Fields of papers citing papers by Daniel I. Ogborn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel I. Ogborn. 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 Daniel I. Ogborn. The network helps show where Daniel I. Ogborn may publish in the future.

Co-authorship network of co-authors of Daniel I. Ogborn

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

All Works

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16 of 16 papers shown

Schöenfeld, Brad J., Bret Contreras, Daniel I. Ogborn, et al.. (2016). Effects of Varied Versus Constant Loading Zones on Muscular Adaptations in Trained Men. International Journal of Sports Medicine. 37(6). 442–447. 25 indexed citations

Ogborn, Daniel I., Bryon R. McKay, Justin D. Crane, et al.. (2015). Effects of age and unaccustomed resistance exercise on mitochondrial transcript and protein abundance in skeletal muscle of men. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 308(8). R734–R741. 40 indexed citations

Ogborn, Daniel I., Bryon R. McKay, Justin D. Crane, Gianni Parise, & Mark A. Tarnopolsky. (2014). The unfolded protein response is triggered following a single, unaccustomed resistance-exercise bout. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 307(6). R664–R669. 66 indexed citations

Kitaoka, Yu, Daniel I. Ogborn, Mats I. Nilsson, et al.. (2013). Oxidative stress and Nrf2 signaling in McArdle disease. Molecular Genetics and Metabolism. 110(3). 297–302. 23 indexed citations

Kitaoka, Yu, Daniel I. Ogborn, Nicholas J. Mocellin, Uwe Schlattner, & Mark A. Tarnopolsky. (2013). Monocarboxylate transporters and mitochondrial creatine kinase protein content in McArdle disease. Molecular Genetics and Metabolism. 108(4). 259–262. 9 indexed citations

Crane, Justin D., Arkan Abadi, Bart P. Hettinga, et al.. (2013). Elevated Mitochondrial Oxidative Stress Impairs Metabolic Adaptations to Exercise in Skeletal Muscle. PLoS ONE. 8(12). e81879–e81879. 22 indexed citations

Abadi, Arkan, Justin D. Crane, Daniel I. Ogborn, et al.. (2013). Supplementation with α-Lipoic Acid, CoQ10, and Vitamin E Augments Running Performance and Mitochondrial Function in Female Mice. PLoS ONE. 8(4). e60722–e60722. 34 indexed citations

McKay, Bryon R., Daniel I. Ogborn, Jeff Baker, et al.. (2013). Elevated SOCS3 and altered IL-6 signaling is associated with age-related human muscle stem cell dysfunction. American Journal of Physiology-Cell Physiology. 304(8). C717–C728. 69 indexed citations

Ogborn, Daniel I., Katelyn Smith, Justin D. Crane, et al.. (2012). Effects of Creatine and Exercise on Skeletal Muscle of FRG1-Transgenic Mice. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 39(2). 225–231. 8 indexed citations

10.

McKay, Bryon R., Daniel I. Ogborn, Leeann M. Bellamy, Mark A. Tarnopolsky, & Gianni Parise. (2012). Myostatin is associated with age‐related human muscle stem cell dysfunction. The FASEB Journal. 26(6). 2509–2521. 132 indexed citations

11.

Crane, Justin D., Daniel I. Ogborn, Simon Melov, et al.. (2012). Massage Therapy Attenuates Inflammatory Signaling After Exercise-Induced Muscle Damage. Science Translational Medicine. 4(119). 119ra13–119ra13. 223 indexed citations

12.

Crane, Justin D., Arkan Abadi, Bart P. Hettinga, et al.. (2011). Elevated Mitochondrial Oxidative Stress Blunts Skeletal Muscle Adaptations to Endurance Exercise. Medicine & Science in Sports & Exercise. 43(5). 383–383. 1 indexed citations

13.

Ogborn, Daniel I., Bryon R. McKay, Justin D. Crane, Gianni Parise, & Mark A. Tarnopolsky. (2011). Age Does Not Influence Mitochondrial-Related Transcript Expression Following A Resistance-Training Bout. Medicine & Science in Sports & Exercise. 43(5). 71–72. 1 indexed citations

14.

Ogborn, Daniel I. & Phillip F. Gardiner. (2009). Effects of exercise and muscle type on BDNF, NT‐4/5, and TrKB expression in skeletal muscle. Muscle & Nerve. 41(3). 385–391. 60 indexed citations

15.

Ogborn, Daniel I.. (2007). Effects of exercise on tropomyosin-related kinase B receptor isoforms and ligands in skeletal muscle. Mspace (University of Manitoba).

16.

Porter, Michelle M., et al.. (2006). Are Rear-Checking Behaviors Determined by Range of Motion in Older Drivers?. Transportation Research Board 85th Annual MeetingTransportation Research Board. 4 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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