C.S. Cooper

15 papers receiving 864 citations

Peers

C.S. Cooper
Comparison fields: 5 of 71
  • Cancer Research 142
  • Pulmonary and Respiratory Medicine 253
  • Oncology 206
  • Aging 13
  • Molecular Biology 437
Replace Binaifer Balsara with:
Binaifer Balsara United States
Cacilda Casartelli Brazil
Susan C. Evans United States
F A Firgaira Australia
Celina M. D’Cruz United States
Kumiko Goi Japan
Brian C.‐S. Liu United States
Amit J. Sabnis United States
Simone Boehrer Germany
Michael B. Dilling United States
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Citations per field
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Citations per year

Countries citing papers authored by C.S. Cooper

Since Specialization
Citations

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

Fields of papers citing papers by C.S. Cooper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1
Fusion of the EWS gene to CHN, a member of the steroid/thyroid receptor gene superfamily, in a human myxoid chondrosarcoma.
1996149
2 1989147
3
Detection of point mutations in N-ras and K-ras genes of human embryonal rhabdomyosarcomas using oligonucleotide probes and the polymerase chain reaction.
1989134
4 1982120
5 1999103
6
Characterization of human transforming genes from chemically transformed, teratocarcinoma, and pancreatic carcinoma cell lines.
198492
7 199459
8 198246
9 198018
10
Detection of transforming genes by transfection of DNA from primary soft-tissue tumours.
199117
11 201014
12
Molecular structure of (+/-)-7,8,9,10-tetrahydroxy-7,8,9,10-tetrahydrobenzo(a)pyrene determined by x-ray crystallography.
198213
13 198012
14 19804
15 19832
16 19761

About C.S. Cooper

C.S. Cooper is a scholar working on Molecular Biology, Organic Chemistry, Pulmonary and Respiratory Medicine, Oncology and Cancer Research, having authored 16 papers that have together received 931 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (3 papers), DNA and Nucleic Acid Chemistry (3 papers), DNA Repair Mechanisms (1 paper), Click Chemistry and Applications (1 paper), Animal Genetics and Reproduction (1 paper), Molecular Sensors and Ion Detection (1 paper), Adenosine and Purinergic Signaling (1 paper) and Microtubule and mitosis dynamics (1 paper). The work is most often cited by research in Cancer Research (142 citations), Pulmonary and Respiratory Medicine (253 citations), Oncology (206 citations), Aging (13 citations) and Molecular Biology (437 citations). C.S. Cooper has collaborated with scholars based in United Kingdom, United States and Poland. Frequent co-authors include Michael R. Stratton, B.A. Gusterson, Marianne Oskarsson, P. L. Lantos, Gerlinde Pilkington, B.R. Reeves, John L. Darling, Sandra Gill, D. G. Blair and J Clark. Their work appears in journals such as Carcinogenesis, Science, JNCI Journal of the National Cancer Institute, Breast Cancer Research and Treatment and British Journal of Cancer.

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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