Jun Teruya

3.9k citations
124 papers · 2.3k indexed · h-index 24

Impact in

    • Venous Thromboembolism Diagnosis and Management
  • Hematology top 2%
    • Blood Coagulation and Thrombosis Mechanisms
    • Platelet Disorders and Treatments

Papers in

    • Venous Thromboembolism Diagnosis and Management 19
    • Blood Coagulation and Thrombosis Mechanisms 20
    • Platelet Disorders and Treatments 17
    • Blood groups and transfusion 10

Jun Teruya

118 papers receiving 2.3k citations

Peers

Jun Teruya
Comparison fields: 5 of 122
  • Internal Medicine 282
  • Hematology 571
  • Critical Care and Intensive Care Medicine 238
  • Obstetrics and Gynecology 295
  • Emergency Medicine 237
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Citations per field
00.5×3.7×
Arthur Bracey · 1×
Citations per year

Countries citing papers authored by Jun Teruya

Since Specialization
Citations

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

Fields of papers citing papers by Jun Teruya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Teruya, 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 Jun Teruya Line = papers co-authored together Jun Teruya links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 202312
3 20232
4 20221
5 202220
6 202114
7 202111
8 20207
9 20205
10 20193
11 201995
12 201914
13 20188
14 201821
15 20102
16 200917
17 20001
18 200019
19 199568
20
Leptospirose : resultados das soro-aglutinacoes realizadas no instituto biologico de sao paulo, durante os anos de 1974/1980
198118

About Jun Teruya

Jun Teruya is a scholar working on Internal Medicine, Hematology, Critical Care and Intensive Care Medicine, Emergency Medicine and Cardiology and Cardiovascular Medicine, having authored 124 papers that have together received 2.3k indexed citations. Recurring topics across this work include Mechanical Circulatory Support Devices (31 papers), Blood Coagulation and Thrombosis Mechanisms (20 papers), Venous Thromboembolism Diagnosis and Management (19 papers), Platelet Disorders and Treatments (17 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (14 papers), Heparin-Induced Thrombocytopenia and Thrombosis (13 papers), Blood groups and transfusion (10 papers) and Blood properties and coagulation (9 papers). The work is most often cited by research in Internal Medicine (282 citations), Hematology (571 citations), Critical Care and Intensive Care Medicine (238 citations), Obstetrics and Gynecology (295 citations) and Emergency Medicine (237 citations). Jun Teruya has collaborated with scholars based in United States, Japan and Egypt. Frequent co-authors include Vadim Kostousov, James A. Thomas, Shiu‐Ki Rocky Hui, Alice P. Chen, Rachel Edwards, Donald H. Mahoney, Borko Jovanovic, Deborah Bergman, Mark J. Alberts and Donald L. Yee. Their work appears in journals such as Archives of Pathology & Laboratory Medicine, Pediatric Critical Care Medicine, Seminars in Thrombosis and Hemostasis, Pediatric Blood & Cancer and American Journal of Clinical Pathology.

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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