Agnese Petrera
Impact in
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
- Spectroscopy top 10%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
Papers in
-
- Signaling Pathways in Disease 2
- Oncology 7
- Peptidase Inhibition and Analysis 5
- Co-authors
- Oliver Schilling (7 shared papers)Stefanie M. Hauck (18 shared papers)Zon Weng Lai (4 shared papers)Barbara Thorand (10 shared papers)Anne Hilgendorff (2 shared papers)Cornelia Huth (1 shared paper)Jennifer Behler (1 shared paper)Christine von Toerne (1 shared paper)
- Journals
- Journal of Proteome Research (4 papers)Blood (2 papers)Diabetologia (2 papers)BMC Medicine (2 papers)Biological Chemistry (2 papers)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Agnese Petrera
37 papers receiving 742 citations
Peers
Comparison fields: 5 of 100
- Infectious Diseases 107
- Spectroscopy 92
- Immunology 93
- Cancer Research 60
- Molecular Biology 275
Countries citing papers authored by Agnese Petrera
This map shows the geographic impact of Agnese Petrera'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 Agnese Petrera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Agnese Petrera more than expected).
Fields of papers citing papers by Agnese Petrera
This network shows the impact of papers produced by Agnese Petrera. 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 Agnese Petrera. The network helps show where Agnese Petrera may publish in the future.
Co-authors
The 25 scholars most cited alongside Agnese Petrera, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 143 | |
| 2 | 2016 | 60 | |
| 3 | 2022 | 51 | |
| 4 | 2015 | 48 | |
| 5 | 2014 | 40 | |
| 6 | 2014 | 40 | |
| 7 | 2011 | 33 | |
| 8 | 2022 | 30 | |
| 9 | 2009 | 26 | |
| 10 | 2012 | 24 | |
| 11 | 2016 | 24 | |
| 12 | 2016 | 24 | |
| 13 | 2022 | 23 | |
| 14 | 2023 | 19 | |
| 15 | 2014 | 19 | |
| 16 | 2016 | 16 | |
| 17 | 2014 | 15 | |
| 18 | 2021 | 13 | |
| 19 | 2016 | 11 | |
| 20 | 2022 | 9 |
About Agnese Petrera
Agnese Petrera is a scholar working on Molecular Biology, Oncology, Infectious Diseases, Cell Biology and Cancer Research, having authored 39 papers that have together received 746 indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (5 papers), Peptidase Inhibition and Analysis (5 papers), Advanced Proteomics Techniques and Applications (3 papers), Tuberculosis Research and Epidemiology (3 papers), Bone and Dental Protein Studies (2 papers), Immune responses and vaccinations (2 papers), Calpain Protease Function and Regulation (2 papers) and Signaling Pathways in Disease (2 papers). The work is most often cited by research in Infectious Diseases (107 citations), Spectroscopy (92 citations), Immunology (93 citations), Cancer Research (60 citations) and Molecular Biology (275 citations). Agnese Petrera has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Oliver Schilling, Stefanie M. Hauck, Zon Weng Lai, Barbara Thorand, Anne Hilgendorff, Cornelia Huth, Jennifer Behler, Christine von Toerne, Alejandro Gomez‐Auli and Peter Sander. Their work appears in journals such as Journal of Proteome Research, Blood, Diabetologia, BMC Medicine and Biological Chemistry.
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.