Julian Buchrieser
- Infectious Diseases top 2%
- Molecular Biology top 10%
- Immunology top 5%
- Neurology top 5%
- Epidemiology
- Co-authors
- Olivier SchwartzWilliam JamesMaaran Michael RajahMichael D. MooreFrançoise PorrotHugo MouquetJérémy DuflooClotilde Théry
- Topics
- SARS-CoV-2 and COVID-19 Research (9 papers)COVID-19 Clinical Research Studies (8 papers)Pregnancy and preeclampsia studies (3 papers)
- Journals
- ScienceCellNature Communications
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
Julian Buchrieser
26 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Infectious Diseases 816
- Molecular Biology 754
- Immunology 562
- Neurology 291
- Epidemiology 137
Countries citing papers authored by Julian Buchrieser
This map shows the geographic impact of Julian Buchrieser'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 Julian Buchrieser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julian Buchrieser more than expected).
Fields of papers citing papers by Julian Buchrieser
This network shows the impact of papers produced by Julian Buchrieser. 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 Julian Buchrieser. The network helps show where Julian Buchrieser may publish in the future.
Co-authorship network of co-authors of Julian Buchrieser
This figure shows the co-authorship network connecting the top 25 collaborators of Julian Buchrieser. A scholar is included among the top collaborators of Julian Buchrieser based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Julian Buchrieser. Julian Buchrieser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 12 | |
| 5 | 2 | |
| 6 | Syncytia formation by SARS‐CoV‐2‐infected cellsbreakdown → | 243 |
| 7 | 113 | |
| 8 | 19 | |
| 9 | 99 | |
| 10 | 42 | |
| 11 | Quantitative characterization of extracellular vesicle uptake and content delivery within mammalian cellsbreakdown → | 212 |
| 12 | 266 | |
| 13 | 108 | |
| 14 | 32 | |
| 15 | 107 | |
| 16 | 26 | |
| 17 | 37 | |
| 18 | 366 | |
| 19 | 145 | |
| 20 | 7 |
About Julian Buchrieser
Julian Buchrieser is a scholar working on Virology, Infectious Diseases and Immunology, having authored 26 papers that have together received 1.9k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (9 papers), COVID-19 Clinical Research Studies (8 papers) and Pregnancy and preeclampsia studies (3 papers). The work is most often cited by research in Infectious Diseases (816 citations), Neurology (291 citations) and Immunology (562 citations). Julian Buchrieser has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Olivier Schwartz, William James, Maaran Michael Rajah, Michael D. Moore, Françoise Porrot, Hugo Mouquet, Jérémy Dufloo, Clotilde Théry, Cyril Planchais and Florence Guivel‐Benhassine. Their work appears in journals such as Science, Cell 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.