Jason Heth

5.6k citations
56 papers · 2.1k · h-index 21

Impact in

  • Genetics top 2%
    • Virus-based gene therapy research
    • Glioma Diagnosis and Treatment
  • Biophysics top 1%
    • Spectroscopy Techniques in Biomedical and Chemical Research

Papers in

Jason Heth

52 papers receiving 2.1k citations

Peers

Jason Heth
Comparison fields: 5 of 106
  • Genetics 446
  • Biophysics 199
  • Genetics 522
  • Cancer Research 221
  • Oncology 360
Replace Sachiko Hirose with:
Sachiko Hirose Japan
David P. Noske Netherlands
Clark C. Chen United States
Lesley A. Jarvis United States
Tal Raveh United States
Elisa Laurenti United Kingdom
Ina Radtke Germany
Yoko Oei United States
Tushar Desai United States
Anna Golebiewska Luxembourg
Jason Heth relative to Sachiko Hirose Japan Sachiko Hirose's profile →
Citations per field
00.5×1.5×2.1×
Sachiko Hirose · 1×
Citations per year

Countries citing papers authored by Jason Heth

Since Specialization
Citations

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

Fields of papers citing papers by Jason Heth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000455
2 2011293
3 2015240
4 2002128
5 2011122
6 2002111
7 2011107
8 200857
9 200453
10 201943
11 200142
12 200339
13 201439
14 200034
15 200230
16 200728
17 201627
18 202125
19 201622
20 201920

About Jason Heth

Jason Heth is a scholar working on Genetics, Pulmonary and Respiratory Medicine, Neurology, Molecular Biology and Epidemiology, having authored 56 papers that have together received 2.1k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (20 papers), Brain Metastases and Treatment (16 papers), Meningioma and schwannoma management (7 papers), Virus-based gene therapy research (5 papers), Nanoplatforms for cancer theranostics (4 papers), Cancer Cells and Metastasis (4 papers), Head and Neck Surgical Oncology (4 papers) and Lung Cancer Treatments and Mutations (4 papers). The work is most often cited by research in Genetics (446 citations), Biophysics (199 citations), Genetics (522 citations), Cancer Research (221 citations) and Oncology (360 citations). Jason Heth has collaborated with scholars based in United States, Italy and Thailand. Frequent co-authors include Beverly L. Davidson, Colleen S. Stein, Inês Martins, John A. Chiorini, Abdi Ghodsi, Robert M. Kotin, Joseph Zabner, Todd A. Derksen, Karin M. Muraszko and Xing Fan. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Journal of Neuro-Oncology, Neuro-Oncology, Journal of Clinical Oncology and 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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