Charles Nock

661 citations
15 papers · 383 · h-index 11

Impact in

  • Genetics top 10%
    • Glioma Diagnosis and Treatment
    • Cancer Immunotherapy and Biomarkers
    • Pancreatic and Hepatic Oncology Research
    • Lung Cancer Research Studies
    • Cancer Cells and Metastasis

Papers in

    • Lung Cancer Research Studies 2
    • Pancreatic and Hepatic Oncology Research 1
    • Hedgehog Signaling Pathway Studies 2
    • Epigenetics and DNA Methylation 1

Charles Nock

15 papers receiving 374 citations

Peers

Charles Nock
Comparison fields: 5 of 67
  • Genetics 81
  • Oncology 149
  • Pulmonary and Respiratory Medicine 121
  • Cancer Research 39
  • Molecular Biology 115
Replace Søren M. Johnson with:
Søren M. Johnson United States
Donna Carter United States
C. Galli Italy
Mette Villingshøj Denmark
Manuela Gili Spain
Junko Zenkoh Japan
Silvia Boero Italy
Sigmund Hsu United States
Laura M. McKay United States
H. Carl LeKaye United States
Charles Nock relative to Søren M. Johnson United States Søren M. Johnson's profile →
Citations per field
00.5×4.1×
Søren M. Johnson · 1×
Citations per year

Countries citing papers authored by Charles Nock

Since Specialization
Citations

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

Fields of papers citing papers by Charles Nock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2009124
2 201361
3 201553
4 202239
5 200818
6 200917
7 200816
8 201011
9 202010
10 202210
11 201410
12 20127
13 20165
14 20211
15 20181

About Charles Nock

Charles Nock is a scholar working on Oncology, Molecular Biology, Genetics, Pulmonary and Respiratory Medicine and Surgery, having authored 15 papers that have together received 383 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (3 papers), Lung Cancer Research Studies (2 papers), Lung Cancer Treatments and Mutations (2 papers), Hedgehog Signaling Pathway Studies (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Epilepsy research and treatment (1 paper), Pancreatic and Hepatic Oncology Research (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Genetics (81 citations), Oncology (149 citations), Pulmonary and Respiratory Medicine (121 citations), Cancer Research (39 citations) and Molecular Biology (115 citations). Charles Nock has collaborated with scholars based in United States. Frequent co-authors include Andrew E. Sloan, Douglas B. Einstein, Joseph A. Bokar, Afshin Dowlati, Smitha Krishnamurthi, Joseph Gibbons, Archana Radhakrishnan, Joanna M. Brell, Abhishek Ray and Alia Hdeib. Their work appears in journals such as Investigational New Drugs, Journal of Clinical Oncology, Journal for ImmunoTherapy of Cancer, JCO Clinical Cancer Informatics and Cancer Chemotherapy and Pharmacology.

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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