Robert J. Isfort

4.5k total citations
109 papers, 3.2k citations indexed

About

Robert J. Isfort is a scholar working on Molecular Biology, Rehabilitation and Cancer Research. According to data from OpenAlex, Robert J. Isfort has authored 109 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 17 papers in Rehabilitation and 16 papers in Cancer Research. Recurrent topics in Robert J. Isfort's work include Exercise and Physiological Responses (14 papers), Carcinogens and Genotoxicity Assessment (12 papers) and Muscle Physiology and Disorders (11 papers). Robert J. Isfort is often cited by papers focused on Exercise and Physiological Responses (14 papers), Carcinogens and Genotoxicity Assessment (12 papers) and Muscle Physiology and Disorders (11 papers). Robert J. Isfort collaborates with scholars based in United States, United Kingdom and Canada. Robert J. Isfort's co-authors include Robert A. LeBœuf, David B. Cody, James N. Ihle, Gary A. Kerckaert, R. L. Witter, Mark A. Tarnopolsky, Richard T. Hinkle, Rhonda G. Kost, H J Kung and Kevin E. Driscoll and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Bioinformatics.

In The Last Decade

Robert J. Isfort

107 papers receiving 3.1k citations

Peers

Robert J. Isfort
Robert J. Isfort
Citations per year, relative to Robert J. Isfort Robert J. Isfort (= 1×) peers Changhong Li

Countries citing papers authored by Robert J. Isfort

Since Specialization
Citations

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

Fields of papers citing papers by Robert J. Isfort

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert J. Isfort. 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 Robert J. Isfort. The network helps show where Robert J. Isfort may publish in the future.

Co-authorship network of co-authors of Robert J. Isfort

This figure shows the co-authorship network connecting the top 25 collaborators of Robert J. Isfort. A scholar is included among the top collaborators of Robert J. Isfort 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 Robert J. Isfort. Robert J. Isfort 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.
Fullard, Nicola, James Wordsworth, Daniel J. Maltman, et al.. (2024). Cell Senescence-Independent Changes of Human Skin Fibroblasts with Age. Cells. 13(8). 659–659. 8 indexed citations
2.
Costello, Lydia, Ben C. Hulette, Teresa DiColandrea, et al.. (2024). Investigation into the significant role of dermal‐epidermal interactions in skin ageing utilising a bioengineered skin construct. Journal of Cellular Physiology. 240(1). e31463–e31463. 3 indexed citations
3.
Costello, Lydia, Daniel J. Maltman, Pamela Ritchie, et al.. (2023). Quantitative morphometric analysis of intrinsic and extrinsic skin ageing in individuals with Fitzpatrick skin types II–III. Experimental Dermatology. 32(5). 620–631. 9 indexed citations
4.
Wong, Hui Hui, et al.. (2023). Tonic repression of collagen I by the bradykinin receptor 2 in skin fibroblasts. Matrix Biology. 118. 110–128. 5 indexed citations
5.
Flagler, Michael J., Makio Tamura, Scott Hartman, et al.. (2021). Combinations of peptides synergistically activate the regenerative capacity of skin cells in vitro. International Journal of Cosmetic Science. 43(5). 518–529. 6 indexed citations
6.
Howard, Brian W., Charles C. Bascom, Ping Hu, et al.. (2021). Aging-Associated Changes in the Adult Human Skin Microbiome and the Host Factors that Affect Skin Microbiome Composition. Journal of Investigative Dermatology. 142(7). 1934–1946.e21. 66 indexed citations
7.
Roger, Mathilde, Nicola Fullard, Lydia Costello, et al.. (2019). Bioengineering the microanatomy of human skin. Journal of Anatomy. 234(4). 438–455. 115 indexed citations
8.
Lin, Yakang, Koti Sreekrishna, Rachel L. Adams, et al.. (2015). A systems approach to understanding human rhinovirus and influenza virus infection. Virology. 486. 146–157. 20 indexed citations
9.
Bachelor, Michael, Robert L. Binder, R. Thomas Cambron, et al.. (2013). Transcriptional profiling of epidermal barrier formation in vitro. Journal of Dermatological Science. 73(3). 187–197. 6 indexed citations
10.
Argilés, Josep M., Cibely Cristine Fontes de Oliveira, Gemma Fuster, et al.. (2010). Patterns of gene expression in muscle and fat in tumor‐bearing rats: Effects of CRF2R agonist on cachexia. Muscle & Nerve. 42(6). 936–949. 4 indexed citations
11.
Mattson, John P., David C. Poole, Scott Hahn, et al.. (2008). Maximal force is unaffected by emphysema-induced atrophy in extensor digitorium longus. Respiratory Physiology & Neurobiology. 161(2). 119–124. 6 indexed citations
12.
Hall, Janet E., Jan Jacek Kaczor, Bart P. Hettinga, Robert J. Isfort, & Mark A. Tarnopolsky. (2007). Effects of a CRF2R agonist and exercise on mdx and wildtype skeletal muscle. Muscle & Nerve. 36(3). 336–341. 18 indexed citations
13.
Toigo, Marco, Samuel Donohoe, Bradley B. Jarrold, et al.. (2005). ICAT-MS-MS time course analysis of atrophying mouse skeletal muscle cytosolic subproteome. Molecular BioSystems. 1(3). 229–241. 15 indexed citations
14.
Yasuda, N., Elisa I. Glover, Stuart M. Phillips, Robert J. Isfort, & Mark A. Tarnopolsky. (2005). Sex-based differences in skeletal muscle function and morphology with short-term limb immobilization. Journal of Applied Physiology. 99(3). 1085–1092. 128 indexed citations
15.
Hinkle, Richard T., Elizabeth Donnelly, David B. Cody, et al.. (2004). Corticotropin releasing factor 2 receptor agonists reduce the denervation-induced loss of rat skeletal muscle mass and force and increase non-atrophying skeletal muscle mass and force. Journal of Muscle Research and Cell Motility. 25(7). 539–547. 19 indexed citations
16.
Isfort, Robert J., Kenneth D. Greis, Yiping Sun, et al.. (2002). Proteomic analysis of rat soleus muscle undergoing hindlimb suspension-induced atrophy and reweighting hypertrophy. PROTEOMICS. 2(5). 543–550. 68 indexed citations
17.
Isfort, Robert J.. (2002). Proteomic analysis of striated muscle. Journal of Chromatography B. 771(1-2). 155–165. 40 indexed citations
18.
Isfort, Robert J.. (2000). Mechanisms of Cell Transformation in the Syrian Hamster Embryo (SHE) Cell Transformation System. Annals of the New York Academy of Sciences. 919(1). 86–96. 3 indexed citations
19.
Isfort, Robert J., David B. Cody, Sharon B. Stuard, Gregg M. Ridder, & Robert A. LeBœuf. (1996). Calcium Functions as a Transcriptional and Mitogenic Repressor in Syrian Hamster Embryo Cells: Roles of Intracellular pH and Calcium in Controlling Embryonic Cell Differentiation and Proliferation. Experimental Cell Research. 226(2). 363–371. 14 indexed citations
20.
Isfort, Robert J., et al.. (1994). Integration of Multiple Chicken Retroviruses into Multiple Chicken Herpesviruses: Herpesviral gD as a Common Target of Integration. Virology. 203(1). 125–133. 62 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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