Kristine Jun

761 citations
14 papers · 601 · h-index 10

Impact in

  • Neurology top 5%
    • Vascular Malformations Diagnosis and Treatment
    • Intracranial Aneurysms: Treatment and Complications
    • Intracerebral and Subarachnoid Hemorrhage Research
  • Genetics top 5%
    • Vascular Anomalies and Treatments

Papers in

    • Vascular Anomalies and Treatments 4
    • Vascular Malformations Diagnosis and Treatment 4

Kristine Jun

14 papers receiving 595 citations

Peers

Kristine Jun
Comparison fields: 5 of 59
  • Neurology 268
  • Genetics 158
  • Rheumatology 64
  • Aging 7
  • Neurology 28
Replace Makoto Shibuya with:
Makoto Shibuya Japan
A. Bornemann Germany
A. Cabello Spain
Jun Masuoka Japan
Mario Teo United Kingdom
Marcel Seiz Germany
Toshiya Sugino Japan
Aurore Besnard France
Haruko Suzuki Japan
Caterina Giannini United States
Kristine Jun relative to Makoto Shibuya Japan Makoto Shibuya's profile →
Citations per field
00.5×
Makoto Shibuya · 1×
Citations per year

Countries citing papers authored by Kristine Jun

Since Specialization
Citations

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

Fields of papers citing papers by Kristine Jun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2011126
2 2014101
3 2012101
4 201289
5 201474
6 201338
7 201317
8 201316
9 201616
10 20129
11
Aging is protective against pressure overload cardiomyopathy via adaptive extracellular matrix remodeling.
20178
12 20134
13 20121
14 20121

About Kristine Jun

Kristine Jun is a scholar working on Genetics, Neurology, Surgery, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 14 papers that have together received 601 indexed citations. Recurring topics across this work include Vascular Malformations Diagnosis and Treatment (4 papers), Vascular Anomalies and Treatments (4 papers), Vascular Malformations and Hemangiomas (2 papers), Cardiac Fibrosis and Remodeling (2 papers), Angiogenesis and VEGF in Cancer (1 paper), Retinal Diseases and Treatments (1 paper), Ferroptosis and cancer prognosis (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Neurology (268 citations), Genetics (158 citations), Rheumatology (64 citations), Aging (7 citations) and Neurology (28 citations). Kristine Jun has collaborated with scholars based in United States, China and Portugal. Frequent co-authors include William L. Young, Hua Su, Wanqiu Chen, Fanxia Shen, Vincent Degos, Espen J. Walker, Eun‐Jung Choi, Helen M. Arthur, Gregory Amend and Yerem Yeghiazarians. Their work appears in journals such as Stroke, Cardiovascular Therapeutics, Experimental Gerontology, Arteriosclerosis Thrombosis and Vascular Biology and PLoS ONE.

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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