Julian Buchrieser

7.0k citations
26 papers · 1.9k indexed · 2 hit papers · h-index 16

Julian Buchrieser

26 papers receiving 1.9k citations

Hit Papers

Syncytia formation by SARS‐CoV‐2‐infected cells243202120262022202450100150200

Peers

Julian Buchrieser
Comparison fields: 5 of 101
  • Infectious Diseases 816
  • Neurology 291
  • Immunology 562
  • Developmental Neuroscience 99
  • Virology 90
Replace Hervé Perron with:
Hervé Perron France
Donna L. Mallery United Kingdom
David Paul Germany
Brian P. Daniels United States
Glenn F. Rall United States
Martyn K. White United States
Judy M. Teale United States
Yan Chai China
Michael Carty Ireland
Toufic Renno France
Julian Buchrieser relative to Hervé Perron France Hervé Perron's profile →
Citations per field
00.5×2.5×
Hervé Perron · 1×
Citations per year

Countries citing papers authored by Julian Buchrieser

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Julian Buchrieser, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Julian Buchrieser Line = papers co-authored together Julian Buchrieser links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202513
2 20243
3 20241
4 202412
5 20232
6
Syncytia formation by SARS‐CoV‐2‐infected cellsbreakdown →
2021243
7 2021113
8 202119
9 202199
10 202142
11
Quantitative characterization of extracellular vesicle uptake and content delivery within mammalian cellsbreakdown →
2021212
12 2020266
13 2020108
14 202032
15 2019107
16 201926
17 201837
18 2017366
19 2017145
20 20117

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), Pregnancy and preeclampsia studies (3 papers), interferon and immune responses (3 papers), HIV Research and Treatment (3 papers), Viral Infections and Outbreaks Research (3 papers), SARS-CoV-2 detection and testing (3 papers) and Reproductive System and Pregnancy (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.

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