Udai Banerji
- Oncology top 1%
- Colorectal Cancer Treatments and Studies 25
- Cancer Treatment and Pharmacology 22
- Cancer Research top 1%
- Cancer Genomics and Diagnostics 41
- Molecular Biology top 1%
- PI3K/AKT/mTOR signaling in cancer 36
- Melanoma and MAPK Pathways 18
- Heat shock proteins research 18
- Immunology top 5%
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- Lung Cancer Treatments and Mutations 28
- Advanced Breast Cancer Therapies 16
- Co-authors
- Paul WorkmanBissan Al‐LazikaniNikolaos DiamantisJuanita LopezIan JudsonJohann S. de BonoSusana BanerjeeElena Cojocaru
- Journals
- Nature Communications (1 paper)Journal of Clinical Oncology (52 papers)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Udai Banerji
195 papers receiving 7.3k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Oncology 2.7k
- Cancer Research 1.2k
- Molecular Biology 4.3k
- Radiology, Nuclear Medicine and Imaging 876
- Immunology 771
Countries citing papers authored by Udai Banerji
This map shows the geographic impact of Udai Banerji'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 Udai Banerji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Udai Banerji more than expected).
Fields of papers citing papers by Udai Banerji
This network shows the impact of papers produced by Udai Banerji. 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 Udai Banerji. The network helps show where Udai Banerji may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Udai Banerji, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2020 | 52 | |
| 4 | 2020 | 13 | |
| 5 | 2020 | 19 | |
| 6 | 2019 | 14 | |
| 7 | 2017 | 8 | |
| 8 | 2015 | 20 | |
| 9 | 2015 | 102 | |
| 10 | 2015 | 28 | |
| 11 | 2014 | 95 | |
| 12 | 2014 | 36 | |
| 13 | 2013 | 119 | |
| 14 | 2013 | 97 | |
| 15 | 2012 | 81 | |
| 16 | 2012 | 122 | |
| 17 | 2012 | 64 | |
| 18 | 2011 | 154 | |
| 19 | 2010 | 176 | |
| 20 | 2005 | 126 |
About Udai Banerji
Udai Banerji is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 207 papers that have together received 7.4k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (41 papers), PI3K/AKT/mTOR signaling in cancer (36 papers), Lung Cancer Treatments and Mutations (28 papers), Colorectal Cancer Treatments and Studies (25 papers), Cancer Treatment and Pharmacology (22 papers), Melanoma and MAPK Pathways (18 papers), Heat shock proteins research (18 papers) and Advanced Breast Cancer Therapies (16 papers). The work is most often cited by research in Oncology (2.7k citations), Cancer Research (1.2k citations) and Molecular Biology (4.3k citations). Udai Banerji has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Paul Workman, Bissan Al‐Lazikani, Nikolaos Diamantis, Juanita Lopez, Ian Judson, Johann S. de Bono, Susana Banerjee, Elena Cojocaru, Mariana Scaranti and Jessica Brown. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.