Debora Macis
Impact in
- Drug Discovery top 10%
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
Papers in
-
- Breast Cancer Treatment Studies 13
- Genetics 14
- Estrogen and related hormone effects 11
- BRCA gene mutations in cancer 4
- Co-authors
- Aliana Guerrieri‐Gonzaga (28 shared papers)Sara Gandini (25 shared papers)Bernardo Bonanni (36 shared papers)Andrea DeCensi (26 shared papers)Harriet Ann Johansson (30 shared papers)Davide Serrano (25 shared papers)Matteo Lazzeroni (18 shared papers)Sara Chigioni (3 shared papers)
- Journals
- Breast Cancer Research and Treatment (7 papers)Nutrients (6 papers)Cancer Prevention Research (5 papers)Journal of Clinical Oncology (3 papers)Cancers (3 papers)
- Partner nations
- ItalyNorwayUnited Kingdom
In The Last Decade
Debora Macis
48 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 73
- Drug Discovery 9
- Pharmacology 150
- Cancer Research 184
- Oncology 180
- Pathology and Forensic Medicine 116
Countries citing papers authored by Debora Macis
This map shows the geographic impact of Debora Macis'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 Debora Macis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debora Macis more than expected).
Fields of papers citing papers by Debora Macis
This network shows the impact of papers produced by Debora Macis. 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 Debora Macis. The network helps show where Debora Macis may publish in the future.
Co-authors
The 25 scholars most cited alongside Debora Macis, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 95 | |
| 2 | 2004 | 86 | |
| 3 | 2014 | 85 | |
| 4 | 2017 | 70 | |
| 5 | 2014 | 69 | |
| 6 | 2018 | 63 | |
| 7 | 2011 | 61 | |
| 8 | 2007 | 58 | |
| 9 | 2007 | 58 | |
| 10 | 2010 | 56 | |
| 11 | 2011 | 50 | |
| 12 | 2008 | 31 | |
| 13 | 2003 | 30 | |
| 14 | 2022 | 28 | |
| 15 | 2016 | 25 | |
| 16 | 2021 | 24 | |
| 17 | 2004 | 22 | |
| 18 | 2013 | 22 | |
| 19 | 2009 | 21 | |
| 20 | 2013 | 18 |
About Debora Macis
Debora Macis is a scholar working on Cancer Research, Genetics, Pharmacology, Oncology and Pathology and Forensic Medicine, having authored 50 papers that have together received 1.2k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (13 papers), Estrogen and related hormone effects (11 papers), Cancer Risks and Factors (8 papers), Pharmacogenetics and Drug Metabolism (7 papers), BRCA gene mutations in cancer (4 papers), Vitamin D Research Studies (4 papers), Reproductive Biology and Fertility (3 papers) and Cervical Cancer and HPV Research (2 papers). The work is most often cited by research in Drug Discovery (9 citations), Pharmacology (150 citations), Cancer Research (184 citations), Oncology (180 citations) and Pathology and Forensic Medicine (116 citations). Debora Macis has collaborated with scholars based in Italy, Norway and United Kingdom. Frequent co-authors include Aliana Guerrieri‐Gonzaga, Sara Gandini, Bernardo Bonanni, Andrea DeCensi, Harriet Ann Johansson, Davide Serrano, Matteo Lazzeroni, Sara Chigioni, Gaia Cecilia Luvoni and Massimiliano Cazzaniga. Their work appears in journals such as Breast Cancer Research and Treatment, Nutrients, Cancer Prevention Research, Journal of Clinical Oncology and Cancers.
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.