Annacarolina da Silva
- Reproductive Medicine top 5%
- Ovarian cancer diagnosis and treatment 2
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- Colorectal Cancer Screening and Detection 2
- Cancer Immunotherapy and Biomarkers 2
- Lung Cancer Research Studies 2
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- Cancer-related molecular mechanisms research 2
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- Genetic factors in colorectal cancer 5
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- Neuroendocrine Tumor Research Advances 4
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- Chromatin Remodeling and Cancer 2
- Co-authors
- Yohei MasugiShuji OginoEsther OlivaZhi Rong QianCharles S. FuchsReiko NishiharaCarmen TornosNiamh Conlon
- Journals
- Gastroenterology (1 paper)The American Journal of Surgical Pathology (2 papers)The Annals of Thoracic Surgery (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Annacarolina da Silva
17 papers receiving 592 citations
Peers
Comparison fields: 5 of 73
- Reproductive Medicine 106
- Health Informatics 11
- Oncology 216
- Cancer Research 97
- Pathology and Forensic Medicine 105
Countries citing papers authored by Annacarolina da Silva
This map shows the geographic impact of Annacarolina da Silva'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 Annacarolina da Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Annacarolina da Silva more than expected).
Fields of papers citing papers by Annacarolina da Silva
This network shows the impact of papers produced by Annacarolina da Silva. 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 Annacarolina da Silva. The network helps show where Annacarolina da Silva may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Annacarolina da Silva, 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 | 2021 | 1 | |
| 2 | 2021 | 10 | |
| 3 | 2020 | 11 | |
| 4 | 2020 | 52 | |
| 5 | 2019 | 11 | |
| 6 | 2018 | 1 | |
| 7 | 2018 | 70 | |
| 8 | 2018 | 26 | |
| 9 | 2017 | 19 | |
| 10 | 2017 | 132 | |
| 11 | 2017 | 19 | |
| 12 | 2016 | 43 | |
| 13 | 2016 | 34 | |
| 14 | 2015 | 86 | |
| 15 | 2015 | 73 | |
| 16 | 2009 | 12 | |
| 17 | 2008 | 2 |
About Annacarolina da Silva
Annacarolina da Silva is a scholar working on Applied Microbiology and Biotechnology, Transplantation and Pathology and Forensic Medicine, having authored 17 papers that have together received 602 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (5 papers), Neuroendocrine Tumor Research Advances (4 papers), Colorectal Cancer Screening and Detection (2 papers), Chromatin Remodeling and Cancer (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Lung Cancer Research Studies (2 papers), Ovarian cancer diagnosis and treatment (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Reproductive Medicine (106 citations), Health Informatics (11 citations) and Oncology (216 citations). Annacarolina da Silva has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Yohei Masugi, Shuji Ogino, Esther Oliva, Zhi Rong Qian, Charles S. Fuchs, Reiko Nishihara, Carmen Tornos, Niamh Conlon, Robert H. Young and Tsuyoshi Hamada. Their work appears in journals such as Gastroenterology, The American Journal of Surgical Pathology and The Annals of Thoracic Surgery.
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.