Anna Tesei
Impact in
- Oncology top 2%
- Cancer Cells and Metastasis
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Cancer therapeutics and mechanisms 14
- Pharmacological Receptor Mechanisms and Effects 8
- Oncology 41
- Cancer Cells and Metastasis 11
- Co-authors
- Chiara Arienti (39 shared papers)Michele Zanoni (23 shared papers)Filippo Piccinini (13 shared papers)Alice Zamagni (16 shared papers)Alessandro Bevilacqua (11 shared papers)Wainer Zoli (55 shared papers)Sara Pignatta (21 shared papers)R. Polico (6 shared papers)
- Journals
- Journal of Cellular Physiology (8 papers)Journal of Translational Medicine (4 papers)Cell Death and Disease (4 papers)Scientific Reports (3 papers)International Journal of Molecular Sciences (3 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Anna Tesei
107 papers receiving 3.5k citations
Anna Tesei's Hit Papers
Peers
Comparison fields: 5 of 136
- Oncology 1.2k
- Cancer Research 529
- Biophysics 199
- Molecular Biology 1.4k
- Physiology 94
Countries citing papers authored by Anna Tesei
This map shows the geographic impact of Anna Tesei'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 Anna Tesei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Tesei more than expected).
Fields of papers citing papers by Anna Tesei
This network shows the impact of papers produced by Anna Tesei. 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 Anna Tesei. The network helps show where Anna Tesei may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Tesei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 3D tumor spheroid models for in vitro therapeutic screening: a systematic approach to enhance the biological relevance of data obtained Hit paper breakdown → | 2016 | 838 |
| 2 | 2020 | 166 | |
| 3 | 2019 | 100 | |
| 4 | 2017 | 93 | |
| 5 | 2019 | 81 | |
| 6 | 2005 | 73 | |
| 7 | 2019 | 72 | |
| 8 | 2009 | 68 | |
| 9 | 2018 | 65 | |
| 10 | 2014 | 64 | |
| 11 | 2001 | 59 | |
| 12 | 2005 | 59 | |
| 13 | 2015 | 59 | |
| 14 | 2014 | 57 | |
| 15 | 2014 | 57 | |
| 16 | 2021 | 55 | |
| 17 | 2018 | 51 | |
| 18 | 2021 | 51 | |
| 19 | 2008 | 51 | |
| 20 | 2017 | 48 |
About Anna Tesei
Anna Tesei is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Biophysics, having authored 110 papers that have together received 3.6k indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (14 papers), Cancer Cells and Metastasis (11 papers), Cell Image Analysis Techniques (10 papers), Prostate Cancer Treatment and Research (10 papers), Lung Cancer Treatments and Mutations (9 papers), Pharmacological Receptor Mechanisms and Effects (8 papers), 3D Printing in Biomedical Research (8 papers) and Cancer, Stress, Anesthesia, and Immune Response (7 papers). The work is most often cited by research in Oncology (1.2k citations), Cancer Research (529 citations), Biophysics (199 citations), Molecular Biology (1.4k citations) and Physiology (94 citations). Anna Tesei has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Chiara Arienti, Michele Zanoni, Filippo Piccinini, Alice Zamagni, Alessandro Bevilacqua, Wainer Zoli, Sara Pignatta, R. Polico, Spartaco Santi and Dino Amadori. Their work appears in journals such as Journal of Cellular Physiology, Journal of Translational Medicine, Cell Death and Disease, Scientific Reports and International Journal of Molecular Sciences.
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.