Marc‐André Elsliger

6.4k citations
60 papers · 3.4k indexed · 1 hit paper · h-index 23
Topics
Enzyme Structure and Function (26 papers)Protein Structure and Dynamics (10 papers)Bacterial Genetics and Biotechnology (8 papers)

In The Last Decade

Marc‐André Elsliger

60 papers receiving 3.4k citations

Hit Papers

Antibody Recognition of a Highly Conserved Influenza Viru...200920262014202020092505007501000

Peers

Marc‐André Elsliger
Comparison fields: 5 of 121
  • Molecular Biology 1.9k
  • Epidemiology 965
  • Immunology 665
  • Biophysics 401
  • Radiology, Nuclear Medicine and Imaging 332
Replace V.N. Malashkevich with:
V.N. Malashkevich United States
John D. Gross United States
Douglas K. Struck United States
Walter F. Mangel United States
H. Schüler Sweden
Nicholas R. J. Gascoigne United States
Martin S. Springer United States
Tina Izard United States
Raymond J. Owens United Kingdom
Lara K. Mahal United States
Marc‐André Elsliger relative to V.N. Malashkevich United States V.N. Malashkevich's profile →
Citations per field
00.5×1.5×1.8×
V.N. Malashkevich · 1×
Citations per year

Countries citing papers authored by Marc‐André Elsliger

Since Specialization
Citations

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

Fields of papers citing papers by Marc‐André Elsliger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc‐André Elsliger. 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 Marc‐André Elsliger. The network helps show where Marc‐André Elsliger may publish in the future.

Co-authorship network of co-authors of Marc‐André Elsliger

This figure shows the co-authorship network connecting the top 25 collaborators of Marc‐André Elsliger. A scholar is included among the top collaborators of Marc‐André Elsliger 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 Marc‐André Elsliger. Marc‐André Elsliger 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 6
2 1
3 8
4 11
5 23
6 44
7 23
8 23
9 19
10 32
11 12
12 11
13
Antibody Recognition of a Highly Conserved Influenza Virus Epitopebreakdown →
1048
14 33
15 198
16 329
17 24
18 16
19 7
20 5

About Marc‐André Elsliger

Marc‐André Elsliger is a scholar working on Molecular Biology, Clinical Biochemistry and Materials Chemistry, having authored 60 papers that have together received 3.4k indexed citations. Recurring topics across this work include Enzyme Structure and Function (26 papers), Protein Structure and Dynamics (10 papers) and Bacterial Genetics and Biotechnology (8 papers). The work is most often cited by research in Biophysics (401 citations), Immunology (665 citations) and Epidemiology (965 citations). Marc‐André Elsliger has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Ian A. Wilson, Marco Gymnopoulos, Peter K. Vogt, Damian C. Ekiert, Gira Bhabha, Mandy Jongeneelen, Jaap Goudsmit, Robert H. Friesen, Mark Throsby and S. James Remington. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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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