James H. Cummins

6.1k total citations · 3 hit papers
45 papers, 4.7k citations indexed

About

James H. Cummins is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, James H. Cummins has authored 45 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 21 papers in Surgery and 19 papers in Genetics. Recurrent topics in James H. Cummins's work include Mesenchymal stem cell research (19 papers), Muscle Physiology and Disorders (18 papers) and Tissue Engineering and Regenerative Medicine (14 papers). James H. Cummins is often cited by papers focused on Mesenchymal stem cell research (19 papers), Muscle Physiology and Disorders (18 papers) and Tissue Engineering and Regenerative Medicine (14 papers). James H. Cummins collaborates with scholars based in United States, Japan and Germany. James H. Cummins's co-authors include Johnny Huard, Arvydas Ūsas, Hairong Peng, Roman Jankowski, Baohong Cao, Bridget M. Deasy, Brian Gearhart, Vonda J. Wright, A. Wernig and Johnny Huard and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Cell Biology and PLoS ONE.

In The Last Decade

James H. Cummins

44 papers receiving 4.5k citations

Hit Papers

Identification of a novel population of muscle stem cells... 2000 2026 2008 2017 2002 2002 2000 200 400 600

Peers

James H. Cummins
Johnny Huard United States
Arvydas Ūsas United States
James E. Dennis United States
Hairong Peng United States
Aaron W. James United States
Diego Correa United States
Joni Ylöstalo United States
Johnny Huard United States
James H. Cummins
Citations per year, relative to James H. Cummins James H. Cummins (= 1×) peers Johnny Huard

Countries citing papers authored by James H. Cummins

Since Specialization
Citations

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

Fields of papers citing papers by James H. Cummins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James H. Cummins

This figure shows the co-authorship network connecting the top 25 collaborators of James H. Cummins. A scholar is included among the top collaborators of James H. Cummins 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 H. Cummins. James H. Cummins 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.
Kawakami, Yohei, K. Nonaka, Naomasa Fukase, et al.. (2020). A Cell-free Biodegradable Synthetic Artificial Ligament for the Reconstruction of Anterior Cruciate Ligament in a Rat Model. Acta Biomaterialia. 121. 275–287. 18 indexed citations
2.
Kawakami, Yohei, William S. Hambright, Koji Takayama, et al.. (2019). Rapamycin Rescues Age-Related Changes in Muscle-Derived Stem/Progenitor Cells from Progeroid Mice. Molecular Therapy — Methods & Clinical Development. 14. 64–76. 35 indexed citations
3.
Gao, Xueqin, Arvydas Ūsas, Aiping Lu, et al.. (2016). Cyclooxygenase-2 deficiency impairs muscle-derived stem cell-mediated bone regeneration via cellular autonomous and non-autonomous mechanisms. Human Molecular Genetics. 25(15). 3216–3231. 26 indexed citations
4.
Takayama, Koji, Yohei Kawakami, Yutaka Mifune, et al.. (2015). The effect of blocking angiogenesis on anterior cruciate ligament healing following stem cell transplantation. Biomaterials. 60. 9–19. 51 indexed citations
5.
Gao, Xueqin, Arvydas Ūsas, Ying Tang, et al.. (2014). A comparison of bone regeneration with human mesenchymal stem cells and muscle-derived stem cells and the critical role of BMP. Biomaterials. 35(25). 6859–6870. 73 indexed citations
6.
Li, Hongshuai, Arvydas Ūsas, Minakshi Poddar, et al.. (2013). Platelet-Rich Plasma Promotes the Proliferation of Human Muscle Derived Progenitor Cells and Maintains Their Stemness. PLoS ONE. 8(6). e64923–e64923. 67 indexed citations
7.
Gharaibeh, Burhan, Mitra Lavasani, James H. Cummins, & Johnny Huard. (2011). Terminal differentiation is not a major determinant for the success of stem cell therapy - cross-talk between muscle-derived stem cells and host cells. Stem Cell Research & Therapy. 2(4). 31–31. 59 indexed citations
8.
Xiang, Guosheng, Qing Yang, Bing Wang, et al.. (2011). Lentivirus-mediated Wnt11 Gene Transfer Enhances Cardiomyogenic Differentiation of Skeletal Muscle-derived Stem Cells. Molecular Therapy. 19(4). 790–796. 22 indexed citations
9.
Tang, Ying, James H. Cummins, Johnny Huard, & Bing Wang. (2010). AAV-directed muscular dystrophy gene therapy. Expert Opinion on Biological Therapy. 10(3). 395–408. 29 indexed citations
10.
Lu, Aiping, James H. Cummins, Jonathan B. Pollett, et al.. (2008). Isolation of myogenic progenitor populations from Pax7-deficient skeletal muscle based on adhesion characteristics. Gene Therapy. 15(15). 1116–1125. 17 indexed citations
11.
Kuroda, Ryosuke, Arvydas Ūsas, Seiji Kubo, et al.. (2006). Cartilage repair using bone morphogenetic protein 4 and muscle‐derived stem cells. Arthritis & Rheumatism. 54(2). 433–442. 220 indexed citations
12.
Shen, Hsain-Chung, Hairong Peng, Arvydas Ūsas, et al.. (2004). Ex vivo gene therapy-induced endochondral bone formation: comparison of muscle-derived stem cells and different subpopulations of primary muscle-derived cells. Bone. 34(6). 982–992. 52 indexed citations
13.
Cao, Baohong, Bo Zheng, Roman Jankowski, et al.. (2003). Muscle stem cells differentiate into haematopoietic lineages but retain myogenic potential. Nature Cell Biology. 5(7). 640–646. 195 indexed citations
14.
Peng, Hairong, Vonda J. Wright, Arvydas Ūsas, et al.. (2002). Synergistic enhancement of bone formation and healing by stem cell–expressed VEGF and bone morphogenetic protein-4. Journal of Clinical Investigation. 110(6). 751–759. 34 indexed citations
15.
Wright, Vonda J., Hairong Peng, Arvydas Ūsas, et al.. (2002). BMP4-Expressing Muscle-Derived Stem Cells Differentiate into Osteogenic Lineage and Improve Bone Healing in Immunocompetent Mice. Molecular Therapy. 6(2). 169–178. 155 indexed citations
16.
Lee, Joon Yung, Douglas S. Musgrave, Dalip Pelinkovic, et al.. (2001). Effect of Bone Morphogenetic Protein-2-Expressing Muscle-Derived Cells on Healing of Critical-Sized Bone Defects in Mice. Journal of Bone and Joint Surgery. 83(7). 1032–1039. 175 indexed citations
18.
Greally, John M., Katherine Neiswanger, James H. Cummins, et al.. (1996). A molecular anatomical analysis of mosaic trisomy 16. Human Genetics. 98(1). 86–90. 25 indexed citations
19.
Steele, Mark W., et al.. (1996). A simplified six item checklist for screening for fragile X syndrome in the pediatric population. The Journal of Pediatrics. 129(4). 611–614. 46 indexed citations
20.
Wenger, Sharon L., et al.. (1995). “Balanced” karyotypes in six abnormal offspring of balanced reciprocal translocation normal carrier parents. American Journal of Medical Genetics. 55(1). 47–52. 25 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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