Valentin Parvu
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
- Microbiology top 10%
- Reproductive tract infections research
Papers in
- Epidemiology 13
- Cervical Cancer and HPV Research 12
- Hepatitis B Virus Studies 3
- Surgery 8
- Genital Health and Disease 7
- Co-authors
- Charles K. Cooper (12 shared papers)Jeffrey C Andrews (5 shared papers)Karen Yanson (9 shared papers)Salma Kodsi (7 shared papers)Mark H. Stoler (8 shared papers)Thomas C. Wright (7 shared papers)Yukari C. Manabe (2 shared papers)Devin S. Gary (3 shared papers)
- Journals
- Gynecologic Oncology (6 papers)Journal of Statistical Planning and Inference (2 papers)American Journal of Clinical Pathology (2 papers)Clinical Infectious Diseases (1 paper)British Journal of Anaesthesia (1 paper)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Valentin Parvu
24 papers receiving 528 citations
Peers
Comparison fields: 5 of 66
- Infectious Diseases 202
- Microbiology 52
- Epidemiology 280
- Modeling and Simulation 14
- Surgery 123
Countries citing papers authored by Valentin Parvu
This map shows the geographic impact of Valentin Parvu'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 Valentin Parvu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valentin Parvu more than expected).
Fields of papers citing papers by Valentin Parvu
This network shows the impact of papers produced by Valentin Parvu. 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 Valentin Parvu. The network helps show where Valentin Parvu may publish in the future.
Co-authors
The 25 scholars most cited alongside Valentin Parvu, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 156 | |
| 2 | 2018 | 50 | |
| 3 | 2021 | 43 | |
| 4 | 2019 | 41 | |
| 5 | 2019 | 37 | |
| 6 | 2015 | 28 | |
| 7 | 2019 | 27 | |
| 8 | 2018 | 25 | |
| 9 | 2018 | 24 | |
| 10 | 2017 | 21 | |
| 11 | 2019 | 16 | |
| 12 | 2018 | 15 | |
| 13 | 2023 | 10 | |
| 14 | 2011 | 9 | |
| 15 | 1992 | 8 | |
| 16 | 2011 | 7 | |
| 17 | 2022 | 6 | |
| 18 | Most Robust BIBDs | 2006 | 6 |
| 19 | 2023 | 4 | |
| 20 | 2006 | 4 |
About Valentin Parvu
Valentin Parvu is a scholar working on Epidemiology, Surgery, Molecular Biology, Microbiology and Infectious Diseases, having authored 25 papers that have together received 541 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (12 papers), Genital Health and Disease (7 papers), Reproductive tract infections research (5 papers), Hepatitis B Virus Studies (3 papers), Molecular Biology Techniques and Applications (3 papers), SARS-CoV-2 detection and testing (3 papers), Statistical Methods in Clinical Trials (3 papers) and Biosensors and Analytical Detection (3 papers). The work is most often cited by research in Infectious Diseases (202 citations), Microbiology (52 citations), Epidemiology (280 citations), Modeling and Simulation (14 citations) and Surgery (123 citations). Valentin Parvu has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Charles K. Cooper, Jeffrey C Andrews, Karen Yanson, Salma Kodsi, Mark H. Stoler, Thomas C. Wright, Yukari C. Manabe, Devin S. Gary, Andrew Pekosz and Maggie Li. Their work appears in journals such as Gynecologic Oncology, Journal of Statistical Planning and Inference, American Journal of Clinical Pathology, Clinical Infectious Diseases and British Journal of Anaesthesia.
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.