Agnese Petrera
Impact in
-
- Tuberculosis Research and Epidemiology
- Spectroscopy top 10%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
Papers in
- Oncology 9
- Peptidase Inhibition and Analysis 6
- Co-authors
- Oliver Schilling (7 shared papers)Zon Weng Lai (4 shared papers)Stefanie M. Hauck (18 shared papers)Barbara Thorand (10 shared papers)Anne Hilgendorff (2 shared papers)Cornelia Huth (1 shared paper)Christine von Toerne (1 shared paper)Alejandro Gomez‐Auli (4 shared papers)
- Journals
- Journal of Proteome Research (4 papers)Vaccine (2 papers)Biological Chemistry (2 papers)Diabetologia (2 papers)BMC Medicine (2 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Agnese Petrera
37 papers receiving 697 citations
Peers
Comparison fields: 5 of 102
- Infectious Diseases 109
- Spectroscopy 90
- Immunology 99
- Molecular Biology 312
- Cancer Research 63
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 | 135 | |
| 2 | 2016 | 55 | |
| 3 | 2015 | 47 | |
| 4 | 2022 | 45 | |
| 5 | 2014 | 40 | |
| 6 | 2014 | 40 | |
| 7 | 2011 | 31 | |
| 8 | 2022 | 29 | |
| 9 | 2009 | 26 | |
| 10 | 2022 | 23 | |
| 11 | 2016 | 23 | |
| 12 | 2012 | 22 | |
| 13 | 2016 | 21 | |
| 14 | 2014 | 19 | |
| 15 | 2023 | 17 | |
| 16 | 2016 | 16 | |
| 17 | 2014 | 15 | |
| 18 | 2021 | 11 | |
| 19 | 2016 | 10 | |
| 20 | 2022 | 9 |
About Agnese Petrera
Agnese Petrera is a scholar working on Molecular Biology, Oncology, Cancer Research, Genetics and Epidemiology, having authored 39 papers that have together received 700 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (6 papers), Protease and Inhibitor Mechanisms (5 papers), Genetic Associations and Epidemiology (4 papers), Diabetes Management and Research (3 papers), Diabetes and associated disorders (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Tuberculosis Research and Epidemiology (3 papers) and Advanced Proteomics Techniques and Applications (3 papers). The work is most often cited by research in Infectious Diseases (109 citations), Spectroscopy (90 citations), Immunology (99 citations), Molecular Biology (312 citations) and Cancer Research (63 citations). Agnese Petrera has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Oliver Schilling, Zon Weng Lai, Stefanie M. Hauck, Barbara Thorand, Anne Hilgendorff, Cornelia Huth, Christine von Toerne, Alejandro Gomez‐Auli, Peter Sander and Thomas Reinheckel. Their work appears in journals such as Journal of Proteome Research, Vaccine, Biological Chemistry, Diabetologia and BMC Medicine.
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.