C.R. Franks

1.2k citations
51 papers · 674 · h-index 17

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

    • Cancer Immunotherapy and Biomarkers 9
    • CAR-T cell therapy research 8
    • Cancer Cells and Metastasis 4
    • Immunotherapy and Immune Responses 14
    • Immune Cell Function and Interaction 12

C.R. Franks

51 papers receiving 626 citations

Peers

C.R. Franks
Comparison fields: 5 of 76
  • Immunology 277
  • Oncology 276
  • Hematology 86
  • Biotechnology 40
  • Neurology 49
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Citations per field
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Citations per year

Countries citing papers authored by C.R. Franks

Since Specialization
Citations

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

Fields of papers citing papers by C.R. Franks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199248
2 201446
3 199137
4
Optimal conditions for the growth of malignant human and animal cell populations in immunosuppressed mice.
197531
5 199029
6 197526
7 199423
8 198922
9 199120
10 199019
11 197719
12 198918
13 198918
14 198618
15 199317
16 199417
17 198916
18 197615
19 198815
20 199015

About C.R. Franks

C.R. Franks is a scholar working on Oncology, Immunology, Molecular Biology, Hematology and Biotechnology, having authored 51 papers that have together received 674 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (14 papers), Immune Cell Function and Interaction (12 papers), Cancer Immunotherapy and Biomarkers (9 papers), CAR-T cell therapy research (8 papers), Cancer Research and Treatments (7 papers), Hematopoietic Stem Cell Transplantation (4 papers), Neuroblastoma Research and Treatments (4 papers) and Cancer Cells and Metastasis (4 papers). The work is most often cited by research in Immunology (277 citations), Oncology (276 citations), Hematology (86 citations), Biotechnology (40 citations) and Neurology (49 citations). C.R. Franks has collaborated with scholars based in United Kingdom, France and Canada. Frequent co-authors include F. T. Perkins, Peter Palmer, G. Stoter, Oleg Eremin, R. L. H. Bolhuis, R. Oskam, S.H. Goey, Rob L. H. Jansen, Yvonne Williams and Aiping Liu. Their work appears in journals such as Cancer Treatment Reviews, British Journal of Cancer, European Journal of Cancer, Cancer Immunology Immunotherapy and Journal of Immunotherapy.

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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