Nathan Demars

405 citations
13 papers · 37 · h-index 4

Impact in

    • Glioma Diagnosis and Treatment
    • Virus-based gene therapy research
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
    • HER2/EGFR in Cancer Research

Papers in

    • CAR-T cell therapy research 8
    • Cancer Immunotherapy and Biomarkers 4
    • Lung Cancer Research Studies 2
    • Cancer Research and Treatments 7

Nathan Demars

12 papers receiving 34 citations

Peers

Nathan Demars
Comparison fields: 5 of 16
  • Genetics 14
  • Oncology 27
  • Immunology 11
  • Biotechnology 4
  • Genetics 9
Replace Virginia Laspidea with:
Virginia Laspidea Spain
Christoph Rummelt Germany
Marius Bartels Germany
Kendall J. Schick United States
Tatyana Worthy United States
Cody Coblentz United States
Paulina Horvei United States
Nelli Frank Austria
Claudia Manriquez Roman United States
Daniel de la Nava Spain
Nathan Demars relative to Virginia Laspidea Spain Virginia Laspidea's profile →
Citations per field
00.5×1.5×
Virginia Laspidea · 1×
Citations per year

Countries citing papers authored by Nathan Demars

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Demars

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 20216
2 20236
3 20194
4 20243
5 20163
6 20203
7 20183
8 20163
9 20182
10 20221
11 20201
12 20201
13 20201

About Nathan Demars

Nathan Demars is a scholar working on Oncology, Biotechnology, Genetics, Genetics and Pulmonary and Respiratory Medicine, having authored 13 papers that have together received 37 indexed citations. Recurring topics across this work include CAR-T cell therapy research (8 papers), Cancer Research and Treatments (7 papers), Virus-based gene therapy research (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Cancer Genomics and Diagnostics (2 papers), Lung Cancer Treatments and Mutations (2 papers), Lung Cancer Research Studies (2 papers) and Glioma Diagnosis and Treatment (2 papers). The work is most often cited by research in Genetics (14 citations), Oncology (27 citations), Immunology (11 citations), Biotechnology (4 citations) and Genetics (9 citations). Nathan Demars has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Jill Buck, Rimas V. Lukas, François Lebel, E. Antonio Chiocca, Maria Pia Morelli, John Barrett, Yunxia Wang, Laurence J.N. Cooper, Christina Amidei and Arnold B. Gelb. Their work appears in journals such as Journal of Clinical Oncology, Neuro-Oncology, Annals of Oncology and Neuro-Oncology Advances.

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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