Jonathan Yun

1.4k citations
38 papers · 940 · h-index 17

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
  • Neurology top 10%
    • CNS Lymphoma Diagnosis and Treatment

Papers in

    • Glioma Diagnosis and Treatment 8
    • Neuroblastoma Research and Treatments 3
    • CNS Lymphoma Diagnosis and Treatment 3
    • Neurofibromatosis and Schwannoma Cases 2

Jonathan Yun

34 papers receiving 920 citations

Peers

Jonathan Yun
Comparison fields: 5 of 99
  • Genetics 298
  • Neurology 109
  • Cancer Research 95
  • Biomaterials 93
  • Developmental Neuroscience 17
Replace E. Lamperti with:
E. Lamperti Italy
Donald Macarthur United Kingdom
Cláudia Maria Pereira Brazil
Brian Toyota Canada
Alfredo Quiñones-Hinojosa United States
Algemir Lunardi Brunetto Brazil
Xinjun Wang China
Sumedh S. Shah United States
Shinichiro Koizumi Japan
Kimberley L. Kaufman Australia
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Citations per field
00.5×1.5×1.9×
E. Lamperti · 1×
Citations per year

Countries citing papers authored by Jonathan Yun

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Yun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014202
2 2011127
3 200583
4 201876
5 202164
6 201441
7 201135
8 201232
9 201330
10 201430
11 201927
12 201326
13 201724
14 201618
15 202017
16 201716
17 200716
18 201815
19 202114
20 20199

About Jonathan Yun

Jonathan Yun is a scholar working on Genetics, Neurology, General Health Professions, Cardiology and Cardiovascular Medicine and Surgery, having authored 38 papers that have together received 940 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (8 papers), Primary Care and Health Outcomes (3 papers), Neuroblastoma Research and Treatments (3 papers), CNS Lymphoma Diagnosis and Treatment (3 papers), Neurofibromatosis and Schwannoma Cases (2 papers), Blood Pressure and Hypertension Studies (2 papers), RNA Interference and Gene Delivery (2 papers) and Emergency and Acute Care Studies (2 papers). The work is most often cited by research in Genetics (298 citations), Neurology (109 citations), Cancer Research (95 citations), Biomaterials (93 citations) and Developmental Neuroscience (17 citations). Jonathan Yun has collaborated with scholars based in United States, Belgium and India. Frequent co-authors include Peter Canoll, Jeffrey N. Bruce, Daniel E Jonas, Adam M. Sonabend, Jennifer Cook Middleton, Michael E. Johansen, Peter A. Sims, Benjamin C. Kennedy, Kathi J. Kemper and Brian Gill. Their work appears in journals such as The Annals of Family Medicine, JAMA, Neurosurgery, Journal of Neuro-Oncology and Cancer Research.

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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