Anna Albecka

3.9k citations
23 papers · 1.6k indexed · 2 hit papers · h-index 18
Topics
Hepatitis C virus research (6 papers)SARS-CoV-2 and COVID-19 Research (5 papers)Monoclonal and Polyclonal Antibodies Research (5 papers)

In The Last Decade

Anna Albecka

23 papers receiving 1.6k citations

Hit Papers

SARS-CoV-2 Infects the Brain Choroid Plexus and Disrupts ...202020262022202420202021100200300

Peers

Anna Albecka
Comparison fields: 5 of 102
  • Infectious Diseases 495
  • Epidemiology 476
  • Molecular Biology 395
  • Hepatology 354
  • Neurology 225
Replace Vaithilingaraja Arumugaswami with:
Vaithilingaraja Arumugaswami United States
Ella H. Sklan Israel
Fumihiko Yasui Japan
Laurent Fischer France
Claire F. Evans United States
Junko S. Takeuchi Japan
Atsushi Kawaguchi Japan
Sandro Grelli Italy
Wen‐Zhe Ho United States
Clara Maria Ausiello Italy
Anna Albecka relative to Vaithilingaraja Arumugaswami United States Vaithilingaraja Arumugaswami's profile →
Citations per field
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Vaithilingaraja Arumugaswami · 1×
Citations per year

Countries citing papers authored by Anna Albecka

Since Specialization
Citations

This map shows the geographic impact of Anna Albecka'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 Anna Albecka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Albecka more than expected).

Fields of papers citing papers by Anna Albecka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna Albecka. 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 Anna Albecka. The network helps show where Anna Albecka may publish in the future.

Co-authorship network of co-authors of Anna Albecka

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Albecka. A scholar is included among the top collaborators of Anna Albecka 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 Anna Albecka. Anna Albecka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 3
3 5
4 36
5 19
6
Furin cleavage of SARS-CoV-2 Spike promotes but is not essential for infection and cell-cell fusionbreakdown →
215
7 22
8 18
9 22
10 58
11
SARS-CoV-2 Infects the Brain Choroid Plexus and Disrupts the Blood-CSF Barrier in Human Brain Organoidsbreakdown →
380
12 18
13 117
14 38
15 22
16 1
17 127
18 135
19 223
20 49

About Anna Albecka

Anna Albecka is a scholar working on Hepatology, Virology and Infectious Diseases, having authored 23 papers that have together received 1.6k indexed citations. Recurring topics across this work include Hepatitis C virus research (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Hepatology (354 citations), Virology (139 citations) and Infectious Diseases (495 citations). Anna Albecka has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Leo C. James, Donna L. Mallery, Andrew P. Carter, David Paul, Jean Dubuisson, Sandrine Belouzard, Laura Pellegrini, Madeline A. Lancaster, Max J. Kellner and Gilles Duverlie. Their work appears in journals such as Nucleic Acids Research, Nature Communications and The EMBO Journal.

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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