R Rampling

4.0k citations
49 papers · 2.7k indexed · h-index 23

R Rampling

47 papers receiving 2.6k citations

Peers

R Rampling
Comparison fields: 5 of 105
  • Genetics 704
  • Genetics 1.0k
  • Neurology 477
  • Oncology 810
  • Pathology and Forensic Medicine 359
Replace K. D. Zang with:
K. D. Zang Germany
Ronald E. Warnick United States
Carmel M. Lynch United States
Timothy T. Stenzel United States
N. B. Rewcastle Canada
KM Zsebo United States
Geoffrey Mendelsohn United States
Edward D. Ball United States
Giordano Nicoletti Italy
Nicola Migone Italy
R Rampling relative to K. D. Zang Germany K. D. Zang's profile →
Citations per field
00.5×1.7×
K. D. Zang · 1×
Citations per year

Countries citing papers authored by R Rampling

Since Specialization
Citations

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

Fields of papers citing papers by R Rampling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200452
2 2000478
3 20008
4 2000129
5 200037
6
Medical Research Council (MRC) randomised trial of adjuvant chemotherapy in primary CNS lymphoma (PCL)- BR06.
19981
7 199815
8 199828
9 19959
10 1994242
11 199413
12 19944
13 199421
14 199313
15 199175
16 1987159
17 19875
18 19853
19 19856
20 19848

About R Rampling

R Rampling is a scholar working on Genetics, Biological Psychiatry, Neurology, Structural Biology and Pathology and Forensic Medicine, having authored 49 papers that have together received 2.7k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (19 papers), Virus-based gene therapy research (8 papers), CNS Lymphoma Diagnosis and Treatment (6 papers), Herpesvirus Infections and Treatments (6 papers), Radiopharmaceutical Chemistry and Applications (5 papers), Brain Metastases and Treatment (5 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Lymphoma Diagnosis and Treatment (5 papers). The work is most often cited by research in Genetics (704 citations), Genetics (1.0k citations), Neurology (477 citations), Oncology (810 citations) and Pathology and Forensic Medicine (359 citations). R Rampling has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Donald M. Hadley, Vakis Papanastassiou, J. Harland, Richard Petty, James A. R. Nicoll, M. Brown, G. Cruickshank, Matthew Fraser, Paul Workman and E. A. McKie. Their work appears in journals such as British Journal of Cancer, Clinical Oncology, International Journal of Radiation Oncology*Biology*Physics, Journal of Neuro-Oncology and Gene Therapy.

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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