Dean J. Yamaguchi

967 total citations · 1 hit paper
17 papers, 698 citations indexed

About

Dean J. Yamaguchi is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Dean J. Yamaguchi has authored 17 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 6 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Molecular Biology. Recurrent topics in Dean J. Yamaguchi's work include Peripheral Artery Disease Management (11 papers), Diabetic Foot Ulcer Assessment and Management (5 papers) and Neuropeptides and Animal Physiology (3 papers). Dean J. Yamaguchi is often cited by papers focused on Peripheral Artery Disease Management (11 papers), Diabetic Foot Ulcer Assessment and Management (5 papers) and Neuropeptides and Animal Physiology (3 papers). Dean J. Yamaguchi collaborates with scholars based in United States, Israel and Czechia. Dean J. Yamaguchi's co-authors include Michael C. Stoner, Greg Landry, Raul J. Guzman, Keith D. Calligaro, Alan M. Dietzek, Alik Farber, Allen D. Hamdan, Rabih A. Chaer, David B. Frank and Yu Shyr and has published in prestigious journals such as PLoS ONE, Circulation Research and American Journal Of Pathology.

In The Last Decade

Dean J. Yamaguchi

17 papers receiving 696 citations

Hit Papers

Reporting standards of the Society for Vascular Surgery f... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dean J. Yamaguchi United States 10 447 355 185 78 74 17 698
Nobuyuki Akasaka Japan 10 284 0.6× 173 0.5× 146 0.8× 100 1.3× 21 0.3× 32 606
Wei Ye China 15 223 0.5× 329 0.9× 84 0.5× 112 1.4× 75 1.0× 54 663
Mario Gruppo Italy 15 333 0.7× 403 1.1× 120 0.6× 129 1.7× 22 0.3× 42 737
E. Wahlberg Sweden 15 387 0.9× 196 0.6× 91 0.5× 120 1.5× 59 0.8× 28 622
Wilma Schierling Germany 13 174 0.4× 195 0.5× 173 0.9× 100 1.3× 23 0.3× 38 519
Kageharu Koja Japan 15 360 0.8× 213 0.6× 118 0.6× 136 1.7× 28 0.4× 77 745
Jun‐ichi Kambayashi Japan 10 131 0.3× 318 0.9× 294 1.6× 300 3.8× 41 0.6× 12 689
David G. Cable United States 14 343 0.8× 190 0.5× 81 0.4× 234 3.0× 21 0.3× 41 683
Wentao Wu China 7 119 0.3× 149 0.4× 242 1.3× 93 1.2× 18 0.2× 17 874
Tomiyoshi Saito Japan 13 230 0.5× 157 0.4× 81 0.4× 437 5.6× 118 1.6× 34 718

Countries citing papers authored by Dean J. Yamaguchi

Since Specialization
Citations

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

Fields of papers citing papers by Dean J. Yamaguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dean J. Yamaguchi

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

All Works

17 of 17 papers shown
1.
Ryan, Terence E., Kyoungrae Kim, Salvatore T. Scali, et al.. (2022). Interventional‐ and amputation‐stage muscle proteomes in the chronically threatened ischemic limb. Clinical and Translational Medicine. 12(1). e658–e658. 9 indexed citations
2.
Ryan, Terence E., Cameron A. Schmidt, Dean J. Yamaguchi, et al.. (2021). Racial differences in the limb skeletal muscle transcriptional programs of patients with critical limb ischemia. Vascular Medicine. 26(3). 247–258. 3 indexed citations
3.
Ryan, Terence E., Cameron A. Schmidt, Michael D. Tarpey, et al.. (2020). PFKFB3-mediated glycolysis rescues myopathic outcomes in the ischemic limb. JCI Insight. 5(18). 25 indexed citations
4.
Schmidt, Cameron A., Reema Karnekar, Jeffrey J. Brault, et al.. (2020). Effects of fasting on isolated murine skeletal muscle contractile function during acute hypoxia. PLoS ONE. 15(4). e0225922–e0225922. 4 indexed citations
5.
Schmidt, Cameron A., et al.. (2019). Temporal Association Between Ischemic Muscle Perfusion Recovery and the Restoration of Muscle Contractile Function After Hindlimb Ischemia. Frontiers in Physiology. 10. 804–804. 11 indexed citations
6.
Ragai, Ihab, et al.. (2018). Differences in radial expansion force among inferior vena cava filter models support documented perforation rates. Journal of Vascular Surgery Venous and Lymphatic Disorders. 6(3). 368–371. 2 indexed citations
7.
Schmidt, Cameron A., Terence E. Ryan, Michael D. Tarpey, et al.. (2018). Strain-Dependent Variation in Acute Ischemic Muscle Injury. American Journal Of Pathology. 188(5). 1246–1262. 26 indexed citations
8.
Ryan, Terence E., Dean J. Yamaguchi, Cameron A. Schmidt, et al.. (2018). Extensive skeletal muscle cell mitochondriopathy distinguishes critical limb ischemia patients from claudicants. JCI Insight. 3(21). 67 indexed citations
9.
Stoner, Michael C., Keith D. Calligaro, Rabih A. Chaer, et al.. (2016). Reporting standards of the Society for Vascular Surgery for endovascular treatment of chronic lower extremity peripheral artery disease: Executive summary. Journal of Vascular Surgery. 64(1). 227–228. 40 indexed citations
10.
Stoner, Michael C., Keith D. Calligaro, Rabih A. Chaer, et al.. (2016). Reporting standards of the Society for Vascular Surgery for endovascular treatment of chronic lower extremity peripheral artery disease. Journal of Vascular Surgery. 64(1). e1–e21. 303 indexed citations breakdown →
11.
Sears, Samuel F., et al.. (2014). Impact of psychological factors on objective ambulatory measures in patients with intermittent claudication. Journal of Vascular Surgery. 60(3). 708–714. 7 indexed citations
12.
Bogey, William M., et al.. (2014). Age does not predict need for reintervention in patients with critical limb ischemia. Journal of Vascular Surgery. 61(2). 413–418. 2 indexed citations
13.
Yamaguchi, Dean J., et al.. (2013). Upper Extremity Thromboembolism in a Patient With Subclavian Steal Syndrome. Annals of Vascular Surgery. 27(5). 673.e9–673.e11. 1 indexed citations
14.
Frank, David B., Amir M. Abtahi, Dean J. Yamaguchi, et al.. (2005). Bone Morphogenetic Protein 4 Promotes Pulmonary Vascular Remodeling in Hypoxic Pulmonary Hypertension. Circulation Research. 97(5). 496–504. 133 indexed citations
15.
Yamaguchi, Dean J., Ken H. Tachiki, Nils Lambrecht, et al.. (2005). PACAP Regulation of Secretion and Proliferation of Pure Populations of Gastric ECL Cells. Journal of Molecular Neuroscience. 26(1). 85–98. 16 indexed citations
16.
Yamaguchi, Dean J., et al.. (2002). PAC1 and PACAP expression, signaling, and effect on the growth of HCT8, human colonic tumor cells. Regulatory Peptides. 109(1-3). 115–125. 36 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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