W. Widagdo
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- Viral Infections and Vectors
- Animal Science and Zoology top 2%
- Animal Virus Infections Studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 9
- Viral gastroenteritis research and epidemiology 5
-
- Animal Virus Infections Studies 7
- Co-authors
- Bart L. Haagmans (13 shared papers)V. Stalin Raj (6 shared papers)Berend‐Jan Bosch (4 shared papers)Judith M. A. van den Brand (6 shared papers)Brenda van Dieren (2 shared papers)Albert Bensaïd (3 shared papers)Nisreen M.A. Okba (4 shared papers)Wentao Li (2 shared papers)
- Journals
- Viruses (2 papers)Journal of Virology (2 papers)Clinical Infectious Diseases (1 paper)Scientific Reports (1 paper)One Health (1 paper)
- Partner nations
- NetherlandsGermanyIndonesia
In The Last Decade
W. Widagdo
14 papers receiving 833 citations
W. Widagdo's Hit Papers
Peers
Comparison fields: 5 of 90
- Infectious Diseases 635
- Animal Science and Zoology 221
- Modeling and Simulation 95
- Epidemiology 153
- Immunology 78
Countries citing papers authored by W. Widagdo
This map shows the geographic impact of W. Widagdo'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 W. Widagdo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. Widagdo more than expected).
Fields of papers citing papers by W. Widagdo
This network shows the impact of papers produced by W. Widagdo. 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 W. Widagdo. The network helps show where W. Widagdo may publish in the future.
Co-authors
The 25 scholars most cited alongside W. Widagdo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Identification of sialic acid-binding function for the Middle East respiratory syndrome coronavirus spike glycoprotein Hit paper breakdown → | 2017 | 252 |
| 2 | 2016 | 95 | |
| 3 | 2017 | 76 | |
| 4 | 2016 | 74 | |
| 5 | 2017 | 73 | |
| 6 | 2018 | 59 | |
| 7 | 2019 | 57 | |
| 8 | 2014 | 44 | |
| 9 | 2016 | 44 | |
| 10 | 2017 | 32 | |
| 11 | 2019 | 29 | |
| 12 | 2019 | 10 | |
| 13 | 2020 | 2 | |
| 14 | 2020 | 1 | |
| 15 | 2017 | 1 | |
| 16 | 2018 | 0 | |
| 17 | 2021 | 0 |
About W. Widagdo
W. Widagdo is a scholar working on Infectious Diseases, Animal Science and Zoology, Epidemiology, Education and Immunology, having authored 17 papers that have together received 849 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (9 papers), Animal Virus Infections Studies (7 papers), Viral gastroenteritis research and epidemiology (5 papers), Education and Character Development (3 papers), Pancasila Values in Education (2 papers), Immunotherapy and Immune Responses (2 papers), Influenza Virus Research Studies (2 papers) and Educational Methods and Impacts (2 papers). The work is most often cited by research in Infectious Diseases (635 citations), Animal Science and Zoology (221 citations), Modeling and Simulation (95 citations), Epidemiology (153 citations) and Immunology (78 citations). W. Widagdo has collaborated with scholars based in Netherlands, Germany and Indonesia. Frequent co-authors include Bart L. Haagmans, V. Stalin Raj, Berend‐Jan Bosch, Judith M. A. van den Brand, Brenda van Dieren, Albert Bensaïd, Nisreen M.A. Okba, Wentao Li, Joaquím Segalés and Debby Schipper. Their work appears in journals such as Viruses, Journal of Virology, Clinical Infectious Diseases, Scientific Reports and One Health.
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.