Matthew Tenser

1.1k citations
16 papers · 421 · h-index 12

Impact in

Papers in

    • Intracranial Aneurysms: Treatment and Complications 5
    • Vascular Malformations Diagnosis and Treatment 2
    • Traumatic Brain Injury and Neurovascular Disturbances 1
    • Acute Ischemic Stroke Management 5

Matthew Tenser

16 papers receiving 418 citations

Peers

Matthew Tenser
Comparison fields: 5 of 46
  • Neurology 77
  • Internal Medicine 17
  • Epidemiology 123
  • Endocrinology, Diabetes and Metabolism 59
  • Genetics 102
Replace Marina Padroni with:
Marina Padroni Italy
Nicolas K. Khattar United States
Maite Martínez-Zabaleta Spain
J. William Doyle United States
Lorena Benavente Spain
О.Н. Иванова Russia
Bum Chun Suh South Korea
Nathan Manning Australia
Hiroyuki Ishiyama Japan
J.A. Zeller Germany
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Citations per field
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Citations per year

Countries citing papers authored by Matthew Tenser

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Tenser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 200169
2 200165
3 199964
4 201138
5 201232
6 201123
7 201722
8 201017
9 202016
10 202016
11 201816
12 201515
13 201410
14 201110
15 20237
16 20141

About Matthew Tenser

Matthew Tenser is a scholar working on Neurology, Epidemiology, Surgery, Genetics and Infectious Diseases, having authored 16 papers that have together received 421 indexed citations. Recurring topics across this work include Intracranial Aneurysms: Treatment and Complications (5 papers), Acute Ischemic Stroke Management (5 papers), Pancreatic function and diabetes (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Diabetes and associated disorders (2 papers), Vascular Malformations Diagnosis and Treatment (2 papers), Traumatic Brain Injury and Neurovascular Disturbances (1 paper) and Moyamoya disease diagnosis and treatment (1 paper). The work is most often cited by research in Neurology (77 citations), Internal Medicine (17 citations), Epidemiology (123 citations), Endocrinology, Diabetes and Metabolism (59 citations) and Genetics (102 citations). Matthew Tenser has collaborated with scholars based in United States, Taiwan and Hungary. Frequent co-authors include Joel F. Habener, Jee H. Lee, William J. Mack, Arun Paul Amar, Andreas Peter, Octavia N. Devon, Gordon Wong, Kwok‐Ming Yao, Melissa K. Thomas and David S. Liebeskind. Their work appears in journals such as Neurosurgical FOCUS, Stroke, International Journal of Stroke, Journal of Clinical Investigation and Operative Neurosurgery.

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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