Janet Mendonca
Impact in
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- Cancer-related Molecular Pathways
- PARP inhibition in cancer therapy
Papers in
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- Histone Deacetylase Inhibitors Research 3
- Ubiquitin and proteasome pathways 3
- Mechanisms of cancer metastasis 2
- Protein Degradation and Inhibitors 1
- Nuclear Structure and Function 1
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- Prostate Cancer Treatment and Research 5
- Co-authors
- Sushant K. Kachhap (13 shared papers)Michael A. Carducci (9 shared papers)Hans J. Hammers (6 shared papers)Madeleine S.Q. Kortenhorst (3 shared papers)Michel D. Wissing (5 shared papers)Michelle A. Rudek (2 shared papers)David C. Smith (1 shared paper)Anup Sharma (3 shared papers)
- Journals
- Cancer Research (2 papers)Cancer Biology & Therapy (1 paper)Molecular Oncology (1 paper)Immunology (1 paper)Cancer Letters (1 paper)
- Partner nations
- United StatesNetherlandsTaiwan
In The Last Decade
Janet Mendonca
13 papers receiving 505 citations
Peers
Comparison fields: 5 of 69
- Oncology 155
- Cancer Research 85
- Molecular Biology 379
- Pulmonary and Respiratory Medicine 109
- Cell Biology 42
Countries citing papers authored by Janet Mendonca
This map shows the geographic impact of Janet Mendonca'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 Janet Mendonca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janet Mendonca more than expected).
Fields of papers citing papers by Janet Mendonca
This network shows the impact of papers produced by Janet Mendonca. 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 Janet Mendonca. The network helps show where Janet Mendonca may publish in the future.
Co-authors
The 25 scholars most cited alongside Janet Mendonca, 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 | 2013 | 135 | |
| 2 | 2010 | 134 | |
| 3 | 2018 | 54 | |
| 4 | 2014 | 53 | |
| 5 | 2017 | 34 | |
| 6 | 2016 | 31 | |
| 7 | 2013 | 28 | |
| 8 | 2014 | 22 | |
| 9 | 2013 | 9 | |
| 10 | 2019 | 7 | |
| 11 | 2019 | 1 | |
| 12 | 2011 | 1 | |
| 13 | 2019 | 1 |
About Janet Mendonca
Janet Mendonca is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Surgery, having authored 13 papers that have together received 510 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (5 papers), Histone Deacetylase Inhibitors Research (3 papers), Ubiquitin and proteasome pathways (3 papers), Cancer-related Molecular Pathways (2 papers), Mechanisms of cancer metastasis (2 papers), Protein Degradation and Inhibitors (1 paper), Cancer, Hypoxia, and Metabolism (1 paper) and Nuclear Structure and Function (1 paper). The work is most often cited by research in Oncology (155 citations), Cancer Research (85 citations), Molecular Biology (379 citations), Pulmonary and Respiratory Medicine (109 citations) and Cell Biology (42 citations). Janet Mendonca has collaborated with scholars based in United States, Netherlands and Taiwan. Frequent co-authors include Sushant K. Kachhap, Michael A. Carducci, Hans J. Hammers, Madeleine S.Q. Kortenhorst, Michel D. Wissing, Michelle A. Rudek, David C. Smith, Anup Sharma, Daniel C. Danila and Dana E. Rathkopf. Their work appears in journals such as Cancer Research, Cancer Biology & Therapy, Molecular Oncology, Immunology and Cancer Letters.
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.