Norbert Moldován
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Virology top 10%
Papers in
-
- Viral Infectious Diseases and Gene Expression in Insects 4
- Epidemiology 12
- Herpesvirus Infections and Treatments 9
- Cytomegalovirus and herpesvirus research 6
- Co-authors
- Zsolt Boldogkői (28 shared papers)Dóra Tombácz (28 shared papers)M Snyder (17 shared papers)Zsolt Csabai (22 shared papers)Zsolt Balázs (15 shared papers)Attila Szűcs (11 shared papers)Donald Sharon (3 shared papers)István Prazsák (8 shared papers)
- Journals
- Scientific Reports (7 papers)Frontiers in Genetics (4 papers)Scientific Data (3 papers)Frontiers in Microbiology (2 papers)BMC Genomics (2 papers)
- Partner nations
- HungaryUnited StatesNetherlands
In The Last Decade
Norbert Moldován
38 papers receiving 685 citations
Peers
Comparison fields: 5 of 54
- Cancer Research 169
- Virology 46
- Epidemiology 234
- Endocrinology 30
- Oncology 118
Countries citing papers authored by Norbert Moldován
This map shows the geographic impact of Norbert Moldován'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 Norbert Moldován with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Norbert Moldován more than expected).
Fields of papers citing papers by Norbert Moldován
This network shows the impact of papers produced by Norbert Moldován. 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 Norbert Moldován. The network helps show where Norbert Moldován may publish in the future.
Co-authors
The 25 scholars most cited alongside Norbert Moldován, 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 | 2019 | 67 | |
| 2 | 2017 | 51 | |
| 3 | 2018 | 46 | |
| 4 | 2018 | 45 | |
| 5 | 2017 | 41 | |
| 6 | 2018 | 40 | |
| 7 | 2019 | 35 | |
| 8 | 2023 | 33 | |
| 9 | 2023 | 33 | |
| 10 | 2022 | 31 | |
| 11 | 2019 | 31 | |
| 12 | 2023 | 29 | |
| 13 | 2017 | 24 | |
| 14 | 2018 | 19 | |
| 15 | 2020 | 15 | |
| 16 | 2021 | 15 | |
| 17 | 2020 | 13 | |
| 18 | 2019 | 13 | |
| 19 | 2022 | 10 | |
| 20 | 2018 | 10 |
About Norbert Moldován
Norbert Moldován is a scholar working on Molecular Biology, Epidemiology, Plant Science, Cancer Research and Oncology, having authored 39 papers that have together received 686 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (9 papers), Plant Virus Research Studies (9 papers), Cancer Genomics and Diagnostics (8 papers), Cytomegalovirus and herpesvirus research (6 papers), Animal Virus Infections Studies (5 papers), Viral-associated cancers and disorders (4 papers), Animal Disease Management and Epidemiology (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (4 papers). The work is most often cited by research in Cancer Research (169 citations), Virology (46 citations), Epidemiology (234 citations), Endocrinology (30 citations) and Oncology (118 citations). Norbert Moldován has collaborated with scholars based in Hungary, United States and Netherlands. Frequent co-authors include Zsolt Boldogkői, Dóra Tombácz, M Snyder, Zsolt Csabai, Zsolt Balázs, Attila Szűcs, Donald Sharon, István Prazsák, Ymke van der Pol and D. Michiel Pegtel. Their work appears in journals such as Scientific Reports, Frontiers in Genetics, Scientific Data, Frontiers in Microbiology and BMC Genomics.
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.