Christopher C. Nolan

3.3k citations
78 papers · 2.5k indexed · h-index 30

Impact in

    • Breast Cancer Treatment Studies
    • Cancer, Hypoxia, and Metabolism
    • Cancer Genomics and Diagnostics
  • Oncology top 5%
    • Cancer Cells and Metastasis
    • Cancer-related Molecular Pathways

Papers in

    • Breast Cancer Treatment Studies 11
    • HER2/EGFR in Cancer Research 11
    • Cancer-related Molecular Pathways 10
    • Cancer Cells and Metastasis 9
    • PARP inhibition in cancer therapy 5

Christopher C. Nolan

78 papers receiving 2.4k citations

Peers

Christopher C. Nolan
Comparison fields: 5 of 126
  • Cancer Research 715
  • Oncology 795
  • Neurology 209
  • Molecular Biology 1.2k
  • Biochemistry 115
Replace Sumedha Gunewardena with:
Sumedha Gunewardena United States
David I. S. Green United States
Peter S. Choi United States
Hongyan Dong China
Yonghui Jia United States
Huihui Fan China
Éric Dufour Finland
In Kyoung Lim South Korea
C. James Hastie United Kingdom
Chris Nolan United Kingdom
Christopher C. Nolan relative to Sumedha Gunewardena United States Sumedha Gunewardena's profile →
Citations per field
00.5×5.5×
Sumedha Gunewardena · 1×
Citations per year

Countries citing papers authored by Christopher C. Nolan

Since Specialization
Citations

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

Fields of papers citing papers by Christopher C. Nolan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher C. Nolan. 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 Christopher C. Nolan. The network helps show where Christopher C. Nolan may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20247
2 201926
3 20181
4 201824
5 201838
6 201825
7 201814
8 201623
9 201631
10 201555
11 201459
12 201432
13 20134
14 20133
15 201229
16 201228
17 200499
18 2003100
19 200383
20 200116

About Christopher C. Nolan

Christopher C. Nolan is a scholar working on Cancer Research, Oncology, Molecular Biology, Genetics and Immunology and Allergy, having authored 78 papers that have together received 2.5k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (11 papers), Breast Cancer Treatment Studies (11 papers), Cancer-related Molecular Pathways (10 papers), Cancer Cells and Metastasis (9 papers), DNA Repair Mechanisms (7 papers), BRCA gene mutations in cancer (7 papers), Microtubule and mitosis dynamics (6 papers) and PARP inhibition in cancer therapy (5 papers). The work is most often cited by research in Cancer Research (715 citations), Oncology (795 citations), Neurology (209 citations), Molecular Biology (1.2k citations) and Biochemistry (115 citations). Christopher C. Nolan has collaborated with scholars based in United Kingdom, Egypt and United States. Frequent co-authors include Andrew R. Green, Ian O. Ellis, Emad A. Rakha, Maria Diez‐Rodriguez, Mohammed A. Aleskandarany, David Ray, Colin L. Willis, Alaa T. Alshareeda, Rokaya El Ansari and Madeleine L. Craze. Their work appears in journals such as Breast Cancer Research and Treatment, British Journal of Cancer, Histopathology, Neuropathology and Applied Neurobiology and Modern Pathology.

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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2026