Shinsuke Narumi

559 total citations
30 papers, 425 citations indexed

About

Shinsuke Narumi is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Shinsuke Narumi has authored 30 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Pulmonary and Respiratory Medicine, 16 papers in Cardiology and Cardiovascular Medicine and 10 papers in Epidemiology. Recurrent topics in Shinsuke Narumi's work include Cerebrovascular and Carotid Artery Diseases (19 papers), Cardiovascular Health and Disease Prevention (12 papers) and Acute Ischemic Stroke Management (10 papers). Shinsuke Narumi is often cited by papers focused on Cerebrovascular and Carotid Artery Diseases (19 papers), Cardiovascular Health and Disease Prevention (12 papers) and Acute Ischemic Stroke Management (10 papers). Shinsuke Narumi collaborates with scholars based in Japan, United States and Netherlands. Shinsuke Narumi's co-authors include Makoto Sasaki, Yasuo Terayama, Kuniaki Ogasawara, Kohsuke Kudo, Hideki Ohba, Masakazu Kobayashi, Jiro Hitomi, Hiroyuki Kabasawa, Shunrou Fujiwara and Kohei Ito and has published in prestigious journals such as International Journal of Molecular Sciences, Journal of Neurology Neurosurgery & Psychiatry and Atherosclerosis.

In The Last Decade

Shinsuke Narumi

29 papers receiving 418 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shinsuke Narumi Japan 15 261 161 152 140 112 30 425
L. Csiba Hungary 7 262 1.0× 232 1.4× 112 0.7× 144 1.0× 95 0.8× 17 469
Kwon–Duk Seo South Korea 12 151 0.6× 151 0.9× 63 0.4× 159 1.1× 84 0.8× 37 432
Kohei Chida Japan 17 363 1.4× 389 2.4× 168 1.1× 167 1.2× 101 0.9× 63 663
Toshiyuki Fujinaka Japan 14 167 0.6× 411 2.6× 76 0.5× 220 1.6× 38 0.3× 32 660
Vera Zbornikova Sweden 9 186 0.7× 171 1.1× 114 0.8× 151 1.1× 37 0.3× 21 388
N Futrell United States 9 184 0.7× 161 1.0× 68 0.4× 207 1.5× 33 0.3× 13 531
E.M. Vriens Netherlands 9 215 0.8× 200 1.2× 155 1.0× 105 0.8× 74 0.7× 12 354
Robin Sellar United Kingdom 13 254 1.0× 387 2.4× 40 0.3× 205 1.5× 69 0.6× 42 620
Kenneth Goldstein United States 7 311 1.2× 71 0.4× 159 1.0× 79 0.6× 42 0.4× 9 422
Anthony M. Burrows United States 12 213 0.8× 305 1.9× 32 0.2× 227 1.6× 25 0.2× 27 544

Countries citing papers authored by Shinsuke Narumi

Since Specialization
Citations

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

Fields of papers citing papers by Shinsuke Narumi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shinsuke Narumi

This figure shows the co-authorship network connecting the top 25 collaborators of Shinsuke Narumi. A scholar is included among the top collaborators of Shinsuke Narumi 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 Shinsuke Narumi. Shinsuke Narumi 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.
Shimizu, Mie, et al.. (2021). Influence of PAR-1 in patients with non-valvular atrial fibrillation: The antiplatelet effect of dabigatran. Thrombosis Research. 201. 123–130. 4 indexed citations
3.
Sasaki, Makoto, Haruna Miyazawa, Shinsuke Narumi, et al.. (2020). Evaluating recanalization of relevant lenticulostriate arteries in acute ischemic stroke using high-resolution MRA at 7T. International Journal of Stroke. 16(9). 1039–1046. 13 indexed citations
5.
Narumi, Shinsuke, Haruna Miyazawa, Hisashi Yonezawa, et al.. (2016). Case of McLeod syndrome with a novel genetic mutation. Neurology and Clinical Neuroscience. 4(3). 115–117. 2 indexed citations
6.
Sasaki, Makoto, Kohei Ito, Hideki Ohba, et al.. (2016). Intracranial Plaque Characterization in Patients with Acute Ischemic Stroke Using Pre- and Post-Contrast Three-Dimensional Magnetic Resonance Vessel Wall Imaging. Journal of Stroke and Cerebrovascular Diseases. 25(6). 1425–1430. 14 indexed citations
7.
Narumi, Shinsuke, Makoto Sasaki, Haruna Miyazawa, et al.. (2016). T1-Weighted Magnetic Resonance Carotid Plaque Imaging: a Comparison between Conventional and Fast Spin-Echo Techniques. Journal of Stroke and Cerebrovascular Diseases. 26(2). 273–279. 2 indexed citations
8.
Ogasawara, Kuniaki, Shinsuke Narumi, Makoto Sasaki, et al.. (2016). Optimal MR Plaque Imaging for Cervical Carotid Artery Stenosis in Predicting the Development of Microembolic Signals during Exposure of Carotid Arteries in Endarterectomy: Comparison of 4 T1-Weighted Imaging Techniques. American Journal of Neuroradiology. 37(6). 1146–1154. 13 indexed citations
9.
Sasaki, Makoto, Hideki Ohba, Shinsuke Narumi, et al.. (2014). Detection of Vessel Wall Lesions in Spontaneous Symptomatic Vertebrobasilar Artery Dissection Using T1-weighted 3-dimensional Imaging. Journal of Stroke and Cerebrovascular Diseases. 23(9). 2419–2424. 24 indexed citations
10.
Sasaki, Makoto, et al.. (2014). Carotid Plaque Characteristics on Magnetic Resonance Plaque Imaging Following Long-term Cilostazol Therapy. Journal of Stroke and Cerebrovascular Diseases. 23(9). 2425–2430. 5 indexed citations
11.
Sasaki, Makoto, Hideki Ohba, Shinsuke Narumi, et al.. (2013). Evaluating Middle Cerebral Artery Atherosclerotic Lesions in Acute Ischemic Stroke Using Magnetic Resonance T1-weighted 3-Dimensional Vessel Wall Imaging. Journal of Stroke and Cerebrovascular Diseases. 23(4). 706–711. 34 indexed citations
12.
Narumi, Shinsuke, Makoto Sasaki, Hiroyuki Ohba, et al.. (2013). Predicting Carotid Plaque Characteristics Using Quantitative Color-Coded T1-Weighted MR Plaque Imaging: Correlation with Carotid Endarterectomy Specimens. American Journal of Neuroradiology. 35(4). 766–771. 18 indexed citations
13.
Narumi, Shinsuke, Makoto Sasaki, Hiroyuki Ohba, et al.. (2012). Prediction of Carotid Plaque Characteristics Using Non-Gated MR Imaging: Correlation with Endarterectomy Specimens. American Journal of Neuroradiology. 34(1). 191–197. 28 indexed citations
16.
Beppu, Toru, Hideaki Nishimoto, Shunrou Fujiwara, et al.. (2011). 1H-magnetic resonance spectroscopy indicates damage to cerebral white matter in the subacute phase after CO poisoning. Journal of Neurology Neurosurgery & Psychiatry. 82(8). 869–875. 17 indexed citations
18.
Yamashita, Fumio, Makoto Sasaki, Satoshi Takahashi, et al.. (2009). Detection of changes in cerebrospinal fluid space in idiopathic normal pressure hydrocephalus using voxel-based morphometry. Neuroradiology. 52(5). 381–386. 35 indexed citations
19.
Narumi, Shinsuke, Makoto Sasaki, Hideki Ohba, et al.. (2009). Altered carotid plaque signal among different repetition times on T1-weighted magnetic resonance plaque imaging with self-navigated radial-scan technique. Neuroradiology. 52(4). 285–290. 22 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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