Ilda D’Annessa
Impact in
- Toxicology top 2%
- Bioactive Compounds and Antitumor Agents
- Molecular Biology top 10%
- Cancer therapeutics and mechanisms
- Protein Structure and Dynamics
- Heat shock proteins research
Papers in
-
- Cancer therapeutics and mechanisms 24
- Heat shock proteins research 6
- Oncology 15
- Neutropenia and Cancer Infections 9
- Lung Cancer Research Studies 6
- Co-authors
- Alessandro Desideri (21 shared papers)Giovanni Chillemi (9 shared papers)Giorgio Colombo (9 shared papers)P Fiorani (12 shared papers)Daniele Di Marino (9 shared papers)Andrea Coletta (7 shared papers)Cinzia Tesauro (10 shared papers)Vittorio Limongelli (2 shared papers)
- Journals
- Nucleic Acids Research (4 papers)PLoS ONE (4 papers)Archives of Biochemistry and Biophysics (3 papers)Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics (2 papers)Molecular Biology and Evolution (2 papers)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Ilda D’Annessa
42 papers receiving 849 citations
Peers
Comparison fields: 5 of 84
- Toxicology 98
- Molecular Biology 713
- Oncology 168
- Computational Theory and Mathematics 87
- Pharmacology 75
Countries citing papers authored by Ilda D’Annessa
This map shows the geographic impact of Ilda D’Annessa'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 Ilda D’Annessa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ilda D’Annessa more than expected).
Fields of papers citing papers by Ilda D’Annessa
This network shows the impact of papers produced by Ilda D’Annessa. 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 Ilda D’Annessa. The network helps show where Ilda D’Annessa may publish in the future.
Co-authors
The 25 scholars most cited alongside Ilda D’Annessa, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 72 | |
| 2 | 2008 | 49 | |
| 3 | 2019 | 40 | |
| 4 | 2020 | 40 | |
| 5 | 2012 | 39 | |
| 6 | 2017 | 35 | |
| 7 | 2009 | 35 | |
| 8 | 2019 | 31 | |
| 9 | 2010 | 29 | |
| 10 | 2009 | 29 | |
| 11 | 2008 | 26 | |
| 12 | 2013 | 26 | |
| 13 | 2014 | 24 | |
| 14 | 2015 | 23 | |
| 15 | 2020 | 21 | |
| 16 | 2018 | 21 | |
| 17 | 2011 | 21 | |
| 18 | 2016 | 20 | |
| 19 | 2018 | 19 | |
| 20 | 2018 | 19 |
About Ilda D’Annessa
Ilda D’Annessa is a scholar working on Molecular Biology, Oncology, Pharmacology, Organic Chemistry and Toxicology, having authored 43 papers that have together received 855 indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (24 papers), Neutropenia and Cancer Infections (9 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers), Lung Cancer Research Studies (6 papers), Heat shock proteins research (6 papers), Synthesis and Biological Evaluation (4 papers), Bioactive Compounds and Antitumor Agents (4 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Toxicology (98 citations), Molecular Biology (713 citations), Oncology (168 citations), Computational Theory and Mathematics (87 citations) and Pharmacology (75 citations). Ilda D’Annessa has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Alessandro Desideri, Giovanni Chillemi, Giorgio Colombo, P Fiorani, Daniele Di Marino, Andrea Coletta, Cinzia Tesauro, Vittorio Limongelli, Elisabetta Moroni and Silvia Trini Castelli. Their work appears in journals such as Nucleic Acids Research, PLoS ONE, Archives of Biochemistry and Biophysics, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics and Molecular Biology and Evolution.
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.