Jonathan Baber

2k citations
6 papers · 1.4k · 1 hit paper · h-index 6

Impact in

    • Cancer Genomics and Diagnostics
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis

Papers in

    • Cancer Genomics and Diagnostics 3
    • Genomic variations and chromosomal abnormalities 2
    • BRCA gene mutations in cancer 1
    • Genomics and Rare Diseases 1

Jonathan Baber

6 papers receiving 1.4k citations

Jonathan Baber's Hit Papers

Pan-cancer whole-genome analyses of metastatic solid tumours 2019 · 800 citations
8000+2+4Years since publication250500750

Peers

Jonathan Baber
Comparison fields: 5 of 63
  • Cancer Research 546
  • Oncology 308
  • Genetics 221
  • Health Informatics 14
  • Pulmonary and Respiratory Medicine 179
Replace Peter Priestley with:
Peter Priestley Netherlands
Dimple Chakravarty United States
Jeff A. Wintersinger Canada
Charles Shale Netherlands
Nicola Sperandio Canada
Alexander Claviez Germany
Jianmin Wu Canada
Ville Mustonen Canada
Chen Hong Germany
Jongsun Jung Canada
Jonathan Baber relative to Peter Priestley Netherlands Peter Priestley's profile →
Citations per field
00.5×1.5×
Peter Priestley · 1×
Citations per year

Countries citing papers authored by Jonathan Baber

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Baber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Jonathan Baber, 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 Jonathan Baber Line = papers co-authored together Jonathan Baber links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
Pan-cancer whole-genome analyses of metastatic solid tumours
Hit paper breakdown →
2019800
2 2020280
3 2021122
4 202376
5 202257
6 202335

About Jonathan Baber

Jonathan Baber is a scholar working on Cancer Research, Genetics, Oncology, Physiology and Nuclear Energy and Engineering, having authored 6 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (3 papers), Genomic variations and chromosomal abnormalities (2 papers), Telomeres, Telomerase, and Senescence (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), BRCA gene mutations in cancer (1 paper) and Genomics and Rare Diseases (1 paper). The work is most often cited by research in Cancer Research (546 citations), Oncology (308 citations), Genetics (221 citations), Health Informatics (14 citations) and Pulmonary and Respiratory Medicine (179 citations). Jonathan Baber has collaborated with scholars based in Australia, Netherlands and Spain. Frequent co-authors include Charles Shale, Peter Priestley, Edwin P. J. G. Cuppen, Anthony T. Papenfuss, Daniel Cameron, Francisco Martínez-Jiménez, Erik H. Rozemuller, Arne van Hoeck, Jose Espejo Valle-Inclán and Nicolle J.M. Besselink. Their work appears in journals such as Nature, Nature Medicine, Science, Genome biology and Nature Genetics.

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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