Charles Nock

652 citations
15 papers · 377 · h-index 10

Impact in

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

Papers in

    • Cancer Treatment and Pharmacology 2
    • Lung Cancer Research Studies 2
    • Cancer Immunotherapy and Biomarkers 2
    • Brain Metastases and Treatment 2
    • Lung Cancer Treatments and Mutations 2

Charles Nock

15 papers receiving 368 citations

Peers

Charles Nock
Comparison fields: 5 of 72
  • Genetics 102
  • Oncology 176
  • Pulmonary and Respiratory Medicine 152
  • Cancer Research 53
  • Hematology 22
Replace C. Galli with:
C. Galli Italy
Søren M. Johnson United States
Manuela Gili Spain
Curt J. Essenburg United States
Kimberly B. Monahan United States
Panteli Theocharous United Kingdom
Estelle Daudigeos‐Dubus France
Mette Villingshøj Denmark
Lynn Bjerke United Kingdom
Laura M. McKay United States
Charles Nock relative to C. Galli Italy C. Galli's profile →
Citations per field
00.5×4.7×
C. Galli · 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 2009123
2 201361
3 201552
4 202236
5 200818
6 200917
7 200816
8 201011
9 202010
10 201410
11 20229
12 20127
13 20165
14 20181
15 20211

About Charles Nock

Charles Nock is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Genetics, Molecular Biology and Hematology, having authored 15 papers that have together received 377 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (4 papers), Multiple Myeloma Research and Treatments (3 papers), Cancer Treatment and Pharmacology (2 papers), Hedgehog Signaling Pathway Studies (2 papers), Lung Cancer Research Studies (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Brain Metastases and Treatment (2 papers) and Lung Cancer Treatments and Mutations (2 papers). The work is most often cited by research in Genetics (102 citations), Oncology (176 citations), Pulmonary and Respiratory Medicine (152 citations), Cancer Research (53 citations) and Hematology (22 citations). Charles Nock has collaborated with scholars based in United States. Frequent co-authors include Andrew E. Sloan, Douglas B. Einstein, Joseph A. Bokar, Joseph Gibbons, Smitha Krishnamurthi, Afshin Dowlati, Joanna M. Brell, Pingfu Fu, Archana Radhakrishnan and Abhishek Ray. Their work appears in journals such as Investigational New Drugs, Journal of Clinical Oncology, JCO Clinical Cancer Informatics, Journal of Neuro-Oncology and Epileptic Disorders.

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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