Robin Sanderson

24 papers receiving 313 citations

Peers

Robin Sanderson
Comparison fields: 5 of 39
  • Oncology 229
  • Pathology and Forensic Medicine 84
  • Genetics 39
  • Hematology 40
  • Virology 15
Replace Maria A. V. Marzolini with:
Maria A. V. Marzolini United Kingdom
Núria Martínez‐Cibrián Spain
Paolo Strati United States
Monalisa Ghosh United States
Ana Cordeiro Brazil
Hema Dave United States
Viktoria Blumenberg Germany
Matthew L. Ulrickson United States
Timothy Voorhees United States
Minnal Gupta United States
Robin Sanderson relative to Maria A. V. Marzolini United Kingdom Maria A. V. Marzolini's profile →
Citations per field
00.5×1.5×2.4×
Maria A. V. Marzolini · 1×
Citations per year

Countries citing papers authored by Robin Sanderson

Since Specialization
Citations

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

Fields of papers citing papers by Robin Sanderson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202364
2 202347
3 202143
4 200636
5 200435
6 202021
7 202111
8 202310
9 20229
10 20216
11 20245
12 20215
13 20215
14 20224
15 20212
16 20232
17 20232
18 20232
19 20251
20 20191

About Robin Sanderson

Robin Sanderson is a scholar working on Oncology, Pathology and Forensic Medicine, Immunology, Molecular Biology and Genetics, having authored 28 papers that have together received 315 indexed citations. Recurring topics across this work include CAR-T cell therapy research (24 papers), Lymphoma Diagnosis and Treatment (8 papers), Biosimilars and Bioanalytical Methods (6 papers), Chronic Lymphocytic Leukemia Research (4 papers), Virus-based gene therapy research (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Integrated Circuits and Semiconductor Failure Analysis (3 papers) and Biomedical Ethics and Regulation (3 papers). The work is most often cited by research in Oncology (229 citations), Pathology and Forensic Medicine (84 citations), Genetics (39 citations), Hematology (40 citations) and Virology (15 citations). Robin Sanderson has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Andrea Kühnl, Maeve O’Reilly, Sarah Thomas, Julie Gibbs, Claire Roddie, Amy A. Kirkwood, Wendy Osborne, Sunil Iyengar, Maria A. V. Marzolini and William Townsend. Their work appears in journals such as Blood, British Journal of Haematology, HemaSphere, International Journal of Radiation Oncology*Biology*Physics and Blood Advances.

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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