Yukihiro Hojo

2.1k total citations
56 papers, 1.6k citations indexed

About

Yukihiro Hojo is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Yukihiro Hojo has authored 56 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 23 papers in Cardiology and Cardiovascular Medicine and 12 papers in Surgery. Recurrent topics in Yukihiro Hojo's work include Acute Myocardial Infarction Research (6 papers), Cell death mechanisms and regulation (5 papers) and Coronary Interventions and Diagnostics (5 papers). Yukihiro Hojo is often cited by papers focused on Acute Myocardial Infarction Research (6 papers), Cell death mechanisms and regulation (5 papers) and Coronary Interventions and Diagnostics (5 papers). Yukihiro Hojo collaborates with scholars based in Japan and United States. Yukihiro Hojo's co-authors include Uichi Ikeda, Kazuyuki Shimada, Yuji Saito, Kazuyuki Shimada, Takaaki Katsuki, Bradford C. Berk, Hideyuki Fujikawa, Judith Haendeler, Masafumi Takahashi and Shuichi Ueno and has published in prestigious journals such as Journal of Biological Chemistry, Journal of the American College of Cardiology and Circulation Research.

In The Last Decade

Yukihiro Hojo

55 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yukihiro Hojo Japan 25 659 604 369 280 241 56 1.6k
Roger Kranzhöfer Germany 15 681 1.0× 418 0.7× 394 1.1× 404 1.4× 411 1.7× 23 1.9k
Chu Kataoka Japan 14 334 0.5× 390 0.6× 312 0.8× 389 1.4× 171 0.7× 17 1.3k
Fumitaka Kuwahara Japan 12 1.2k 1.8× 618 1.0× 377 1.0× 214 0.8× 395 1.6× 15 1.9k
Philipp Stawowy Germany 28 743 1.1× 825 1.4× 367 1.0× 269 1.0× 401 1.7× 90 2.3k
Ken‐ichi Hiasa Japan 18 478 0.7× 728 1.2× 453 1.2× 444 1.6× 219 0.9× 40 2.0k
Jan‐Willem N. Akkerman Netherlands 26 553 0.8× 580 1.0× 352 1.0× 275 1.0× 112 0.5× 59 1.9k
Takashi Omura Japan 26 965 1.5× 881 1.5× 459 1.2× 184 0.7× 171 0.7× 82 2.2k
Toshiaki Kadokami Japan 22 1.1k 1.6× 528 0.9× 332 0.9× 252 0.9× 127 0.5× 68 1.8k
Elisabetta Faggin Italy 23 655 1.0× 574 1.0× 474 1.3× 445 1.6× 208 0.9× 56 2.0k
Taiki Tojo Japan 20 306 0.5× 690 1.1× 269 0.7× 523 1.9× 333 1.4× 62 1.7k

Countries citing papers authored by Yukihiro Hojo

Since Specialization
Citations

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

Fields of papers citing papers by Yukihiro Hojo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yukihiro Hojo. 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 Yukihiro Hojo. The network helps show where Yukihiro Hojo may publish in the future.

Co-authorship network of co-authors of Yukihiro Hojo

This figure shows the co-authorship network connecting the top 25 collaborators of Yukihiro Hojo. A scholar is included among the top collaborators of Yukihiro Hojo 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 Yukihiro Hojo. Yukihiro Hojo 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.
Saito, Toshinobu, Yukihiro Hojo, Masahiro Hirose, et al.. (2013). High-sensitivity troponin T is a prognostic marker for patients with aortic stenosis after valve replacement surgery. Journal of Cardiology. 61(5). 342–347. 21 indexed citations
2.
Ikemoto, Tomokazu, Yukihiro Hojo, Nozomu Takahashi, et al.. (2011). Plasma endoglin as a marker to predict cardiovascular events in patients with chronic coronary artery diseases. Heart and Vessels. 27(4). 344–351. 48 indexed citations
3.
Hojo, Yukihiro, N. Takahashi, Tomokazu Ikemoto, et al.. (2010). Roles of ghrelin in left-ventricular remodelling after acute myocardial infarction. Heart Asia. 2(1). 1–4. 3 indexed citations
4.
Hojo, Yukihiro, Hayato Shimizu, Nozomu Takahashi, et al.. (2009). Elevation of Plasma Granzyme B Levels After Acute Myocardial Infarction : Correlation With Left Ventricular Remodeling(Ischemic Heart Disease). Japanese Circulation Journal-english Edition. 73(3). 503–507. 2 indexed citations
5.
Ikemoto, Tomokazu, Yukihiro Hojo, Nozomu Takahashi, et al.. (2009). Plasma granzyme B as a predicting factor of coronary artery disease—Clinical significance in patients with chronic renal failure. Journal of Cardiology. 54(3). 409–415. 18 indexed citations
6.
Hojo, Yukihiro, et al.. (2006). Redox imbalance in patients with coronary artery disease showing progression of atherosclerotic lesions.. PubMed. 48(4). 183–91. 6 indexed citations
7.
Ishikawa, Joji, Kazuomi Kario, Yoshio Matsui, et al.. (2005). Collagen Metabolism in Extracellular Matrix May Be Involved in Arterial Stiffness in Older Hypertensive Patients with Left Ventricular Hypertrophy. Hypertension Research. 28(12). 995–1001. 41 indexed citations
8.
9.
Hojo, Yukihiro, Uichi Ikeda, Osamu Mizuno, Takaaki Katsuki, & Kazuyuki Shimada. (2003). Adrenomedullin expression in coronary circulation after stent implantation as a prognostic factor for restenosis. PubMed. 5(4). 190–194. 3 indexed citations
10.
Hojo, Yukihiro, Uichi Ikeda, Masafumi Takahashi, & Kazuyuki Shimada. (2002). Increased levels of monocyte-related cytokines in patients with unstable angina. Atherosclerosis. 161(2). 403–408. 61 indexed citations
11.
Hojo, Yukihiro, Uichi Ikeda, Shuichi Ueno, Hiroshi Arakawa, & Kazuyuki Shimada. (2001). Expression of Matrix Metalloproteinases in Patients With Acute Myocardial Infarction. Japanese Circulation Journal. 65(2). 71–75. 56 indexed citations
12.
Ueno, Shuichi, Uichi Ikeda, Yukihiro Hojo, et al.. (2001). Serum hepatocyte growth factor levels are increased in patients with congestive heart failure. Journal of Cardiac Failure. 7(4). 329–334. 21 indexed citations
13.
Mizuno, Osamu, Uichi Ikeda, Yukihiro Hojo, et al.. (2001). Tissue Factor Expression in Coronary Circulation as a Prognostic Factor for Late Restenosis after Coronary Angioplasty. Cardiology. 95(2). 84–89. 12 indexed citations
14.
Mizuno, Osamu, Yukihiro Hojo, Uichi Ikeda, et al.. (2000). Assessment of coagulation and platelet activation in coronary sinus blood induced by transcatheter coronary intervention for narrowing of the left anterior descending coronary artery. The American Journal of Cardiology. 85(2). 154–160. 32 indexed citations
15.
Zhu, Yun, Yukihiro Hojo, Uichi Ikeda, Masafumi Takahashi, & Kazuyuki Shimada. (2000). Interaction Between Monocytes and Vascular Smooth Muscle Cells Enhances Matrix Metalloproteinase-1 Production. Journal of Cardiovascular Pharmacology. 36(2). 152–161. 53 indexed citations
16.
Okada, Motoi, Yukihiro Hojo, Uichi Ikeda, et al.. (2000). Interaction between monocytes and vascular smooth muscle cells induces expression of hepatocyte growth factor. Journal of Hypertension. 18(12). 1825–1831. 14 indexed citations
17.
Kurosaki, Kenji, Uichi Ikeda, Yukihiro Hojo, et al.. (1999). Familial Isolated Noncompaction of the Left Ventricular Myocardium. Cardiology. 91(1). 69–72. 41 indexed citations
18.
Ikeda, Uichi, Keiji Yamamoto, Yukihiro Hojo, et al.. (1996). Plasma Cytokine Levels in Cardiac Chambers of Patients with Mitral Stenosis with Congestive Heart Failure. Cardiology. 87(6). 476–480. 6 indexed citations
19.
Hojo, Yukihiro, et al.. (1995). Differential Effects of an .ALPHA.1-Blocker(Doxazosin) on Diurnal Blood Pressure Variation in Dipper and Non-Dipper Type Hypertension.. Hypertension Research. 18(2). 125–130. 37 indexed citations
20.

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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