Nnennaya Kanu
- Molecular Biology top 10%
- Oncology top 5%
- Cancer Research top 5%
- Immunology top 10%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Charles SwantonAxel BehrensNicholas McGranahanRachel RosenthalSergio A. QuezadaSherene LoiAndrew RowanPeter Savas
- Topics
- Cancer Genomics and Diagnostics (14 papers)DNA Repair Mechanisms (9 papers)Cancer-related Molecular Pathways (5 papers)
- Cited by
- Cancer ResearchOncologyImmunology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Nnennaya Kanu
31 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Molecular Biology 1.0k
- Oncology 815
- Cancer Research 621
- Immunology 362
- Pulmonary and Respiratory Medicine 354
Countries citing papers authored by Nnennaya Kanu
This map shows the geographic impact of Nnennaya Kanu'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 Nnennaya Kanu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nnennaya Kanu more than expected).
Fields of papers citing papers by Nnennaya Kanu
This network shows the impact of papers produced by Nnennaya Kanu. 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 Nnennaya Kanu. The network helps show where Nnennaya Kanu may publish in the future.
Co-authorship network of co-authors of Nnennaya Kanu
This figure shows the co-authorship network connecting the top 25 collaborators of Nnennaya Kanu. A scholar is included among the top collaborators of Nnennaya Kanu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nnennaya Kanu. Nnennaya Kanu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 15 | |
| 3 | 13 | |
| 4 | 28 | |
| 5 | 2 | |
| 6 | 54 | |
| 7 | 9 | |
| 8 | APOBEC mutagenesis in drug resistance and immune escape in HIV and cancer evolution | 1 |
| 9 | 104 | |
| 10 | Insertion-and-deletion-derived tumour-specific neoantigens and the immunogenic phenotype: a pan-cancer analysisbreakdown → | 662 |
| 11 | 83 | |
| 12 | 118 | |
| 13 | 128 | |
| 14 | 37 | |
| 15 | 47 | |
| 16 | 11 | |
| 17 | 45 | |
| 18 | 24 | |
| 19 | 115 | |
| 20 | 1 |
About Nnennaya Kanu
Nnennaya Kanu is a scholar working on Cancer Research, Virology and Oncology, having authored 32 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (14 papers), DNA Repair Mechanisms (9 papers) and Cancer-related Molecular Pathways (5 papers). The work is most often cited by research in Cancer Research (621 citations), Oncology (815 citations) and Immunology (362 citations). Nnennaya Kanu has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Charles Swanton, Axel Behrens, Nicholas McGranahan, Rachel Rosenthal, Sergio A. Quezada, Sherene Loi, Andrew Rowan, Peter Savas, James L. Reading and Martin Gore. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.