Taisei Kobayashi

3.0k citations
54 papers · 1.1k indexed · 2 hit papers · h-index 17

Taisei Kobayashi

47 papers receiving 1.1k citations

Hit Papers

Contemporary Management...38201920262021202350100150200250

Peers

Taisei Kobayashi
Comparison fields: 5 of 87
  • Internal Medicine 489
  • Cardiology and Cardiovascular Medicine 650
  • Emergency Medical Services 116
  • Critical Care and Intensive Care Medicine 70
  • Epidemiology 335
Replace Michele G. Beckman with:
Michele G. Beckman United States
Lana A. Castellucci Canada
Julia Hutchinson United Kingdom
Eric D. Hixson United States
Kerstin Hogg United Kingdom
Bethany Samuelson Bannow United States
Laura Young United States
Michael Froeschl Canada
Andrew Sharp United Kingdom
Takeshi Yamamoto Japan
Taisei Kobayashi relative to Michele G. Beckman United States Michele G. Beckman's profile →
Citations per field
00.5×
Michele G. Beckman · 1×
Citations per year

Countries citing papers authored by Taisei Kobayashi

Since Specialization
Citations

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

Fields of papers citing papers by Taisei Kobayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Taisei Kobayashi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Taisei Kobayashi Line = papers co-authored together Taisei Kobayashi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20240
4
Contemporary Management and Outcomes of Patients With High-Risk Pulmonary Embolismbreakdown →
202438
5 20240
6 20242
7 202310
8 202322
9 20230
10 20214
11 20215
12 202011
13 20193
14 20196
15 2017145
16 20175
17 201714
18 201515
19 20151
20 20149

About Taisei Kobayashi

Taisei Kobayashi is a scholar working on Internal Medicine, Cardiology and Cardiovascular Medicine and Emergency Medical Services, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Venous Thromboembolism Diagnosis and Management (16 papers), Acute Ischemic Stroke Management (8 papers), Atrial Fibrillation Management and Outcomes (7 papers), Cardiac Valve Diseases and Treatments (7 papers), Antiplatelet Therapy and Cardiovascular Diseases (7 papers), Acute Myocardial Infarction Research (6 papers), Coronary Interventions and Diagnostics (5 papers) and Peripheral Artery Disease Management (5 papers). The work is most often cited by research in Internal Medicine (489 citations), Cardiology and Cardiovascular Medicine (650 citations) and Emergency Medical Services (116 citations). Taisei Kobayashi has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Jay Giri, Nimesh D. Desai, Ido Weinberg, Saurav Chatterjee, Akhilesh K. Sista, Clive Kearon, Christopher Kabrhel, Dharam J. Kumbhani, Mark T. Gladwin and Geoffrey D. Barnes. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

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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