Janet Mendonca
Impact in
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- Cancer-related Molecular Pathways
- PARP inhibition in cancer therapy
Papers in
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- Ubiquitin and proteasome pathways 3
- Histone Deacetylase Inhibitors Research 3
- Heat shock proteins research 2
- Nuclear Structure and Function 2
- Mechanisms of cancer metastasis 2
- RNA Research and Splicing 1
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- Prostate Cancer Treatment and Research 5
- Co-authors
- Sushant K. Kachhap (14 shared papers)Michael A. Carducci (10 shared papers)Hans J. Hammers (6 shared papers)Michel D. Wissing (5 shared papers)Madeleine S.Q. Kortenhorst (3 shared papers)Michelle A. Rudek (2 shared papers)Serina King (1 shared paper)Ming Zhao (1 shared paper)
- Journals
- The FASEB Journal (2 papers)Cancer Research (2 papers)Heliyon (1 paper)PLoS ONE (1 paper)Molecular Oncology (1 paper)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Janet Mendonca
13 papers receiving 523 citations
Peers
Comparison fields: 5 of 66
- Oncology 140
- Cancer Research 74
- Molecular Biology 360
- Pulmonary and Respiratory Medicine 94
- Cell Biology 40
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 | 140 | |
| 2 | 2010 | 139 | |
| 3 | 2018 | 57 | |
| 4 | 2014 | 55 | |
| 5 | 2017 | 34 | |
| 6 | 2016 | 31 | |
| 7 | 2013 | 28 | |
| 8 | 2014 | 24 | |
| 9 | 2013 | 9 | |
| 10 | 2019 | 8 | |
| 11 | 2019 | 1 | |
| 12 | 2011 | 1 | |
| 13 | 2019 | 1 | |
| 14 | 2025 | 0 |
About Janet Mendonca
Janet Mendonca is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Pathology and Forensic Medicine, having authored 14 papers that have together received 528 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (5 papers), Ubiquitin and proteasome pathways (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Heat shock proteins research (2 papers), Cancer-related Molecular Pathways (2 papers), Nuclear Structure and Function (2 papers), Mechanisms of cancer metastasis (2 papers) and RNA Research and Splicing (1 paper). The work is most often cited by research in Oncology (140 citations), Cancer Research (74 citations), Molecular Biology (360 citations), Pulmonary and Respiratory Medicine (94 citations) and Cell Biology (40 citations). Janet Mendonca has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Sushant K. Kachhap, Michael A. Carducci, Hans J. Hammers, Michel D. Wissing, Madeleine S.Q. Kortenhorst, Michelle A. Rudek, Serina King, Ming Zhao, David C. Smith and Daniel C. Danila. Their work appears in journals such as The FASEB Journal, Cancer Research, Heliyon, PLoS ONE and Molecular Oncology.
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.