Yiska Weisblum
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research 6
- COVID-19 Clinical Research Studies 3
- Parvovirus B19 Infection Studies 3
- Obstetrics and Gynecology top 5%
- Immunology top 10%
- Immune Cell Function and Interaction 3
- Epidemiology top 10%
- Cytomegalovirus and herpesvirus research 10
- Herpesvirus Infections and Treatments 4
- Modeling and Simulation top 10%
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- Mosquito-borne diseases and control 4
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- RNA regulation and disease 3
- Co-authors
- Dana G. WolfAmos PanetPaul D. BieniaszThéodora HatziioannouRonit Haimov‐KochmanDaniel PostonOfer MandelboimEsther Oiknine‐Djian
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nature Communications (1 paper)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Yiska Weisblum
21 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Infectious Diseases 599
- Obstetrics and Gynecology 115
- Immunology 298
- Epidemiology 306
- Modeling and Simulation 36
Countries citing papers authored by Yiska Weisblum
This map shows the geographic impact of Yiska Weisblum'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 Yiska Weisblum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiska Weisblum more than expected).
Fields of papers citing papers by Yiska Weisblum
This network shows the impact of papers produced by Yiska Weisblum. 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 Yiska Weisblum. The network helps show where Yiska Weisblum may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yiska Weisblum, 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 | 2022 | 3 | |
| 2 | 2022 | 6 | |
| 3 | 2021 | 112 | |
| 4 | Mapping mutations to the SARS-CoV-2 RBD that escape binding by different classes of antibodiesbreakdown → | 2021 | 205 |
| 5 | 2020 | 43 | |
| 6 | 2020 | 101 | |
| 7 | 2020 | 7 | |
| 8 | 2020 | 19 | |
| 9 | 2018 | 41 | |
| 10 | 2017 | 25 | |
| 11 | 2017 | 45 | |
| 12 | 2016 | 18 | |
| 13 | 2016 | 33 | |
| 14 | 2016 | 28 | |
| 15 | 2015 | 65 | |
| 16 | 2015 | 23 | |
| 17 | 2015 | 15 | |
| 18 | 2014 | 41 | |
| 19 | 2014 | 48 | |
| 20 | 2011 | 62 |
About Yiska Weisblum
Yiska Weisblum is a scholar working on Infectious Diseases, Epidemiology and Immunology, having authored 21 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (10 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Mosquito-borne diseases and control (4 papers), Herpesvirus Infections and Treatments (4 papers), RNA regulation and disease (3 papers), COVID-19 Clinical Research Studies (3 papers), Parvovirus B19 Infection Studies (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Infectious Diseases (599 citations), Obstetrics and Gynecology (115 citations) and Immunology (298 citations). Yiska Weisblum has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Dana G. Wolf, Amos Panet, Paul D. Bieniasz, Théodora Hatziioannou, Ronit Haimov‐Kochman, Daniel Poston, Ofer Mandelboim, Esther Oiknine‐Djian, Fabian Schmidt and Christian Gaebler. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.
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.