Aki Manninen

3.3k citations
66 papers · 2.2k · h-index 28

Impact in

  • Virology top 2%
    • HIV Research and Treatment
    • Cellular transport and secretion
    • Cellular Mechanics and Interactions

Papers in

    • Wnt/β-catenin signaling in development and cancer 6
    • Signaling Pathways in Disease 6
    • Cellular Mechanics and Interactions 10

Aki Manninen

65 papers receiving 2.2k citations

Peers

Aki Manninen
Comparison fields: 5 of 114
  • Virology 358
  • Cell Biology 536
  • Immunology and Allergy 183
  • Immunology 600
  • Molecular Biology 1.1k
Replace Ann P. Wheeler with:
Ann P. Wheeler United Kingdom
Dominic Waithe United Kingdom
Marı́a C. Montoya Spain
Renaud Poincloux France
Emily M. Mace United States
Marco A. Purbhoo United Kingdom
Cenk Sumen United States
Andrés Alcover France
Colin R. F. Monks United States
Johannes B. Huppa Austria
Aki Manninen relative to Ann P. Wheeler United Kingdom Ann P. Wheeler's profile →
Citations per field
00.5×3.3×
Ann P. Wheeler · 1×
Citations per year

Countries citing papers authored by Aki Manninen

Since Specialization
Citations

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

Fields of papers citing papers by Aki Manninen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Aki Manninen, 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 Aki Manninen Line = papers co-authored together Aki Manninen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005220
2 1999116
3 2006103
4 199894
5 200590
6 200089
7 200884
8 201984
9 200482
10 201576
11 200766
12 200263
13 200859
14 200155
15 201751
16 201151
17 200144
18 201144
19 200444
20 200541

About Aki Manninen

Aki Manninen is a scholar working on Molecular Biology, Cell Biology, Immunology and Allergy, Immunology and Virology, having authored 66 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (18 papers), Cellular Mechanics and Interactions (10 papers), Digital Holography and Microscopy (9 papers), HIV Research and Treatment (9 papers), Image Processing Techniques and Applications (8 papers), Galectins and Cancer Biology (7 papers), Wnt/β-catenin signaling in development and cancer (6 papers) and Signaling Pathways in Disease (6 papers). The work is most often cited by research in Virology (358 citations), Cell Biology (536 citations), Immunology and Allergy (183 citations), Immunology (600 citations) and Molecular Biology (1.1k citations). Aki Manninen has collaborated with scholars based in Finland, United States and Germany. Frequent co-authors include Kalle Saksela, Kai Simons, G. Herma Renkema, Sebastian Schuck, Thomas J. Naughton, Tomi Pitkäaho, Daniel J. Müller, Satu-Marja Myllymäki, Jens Friedrichs and Joachim Füllekrug. Their work appears in journals such as Journal of Biological Chemistry, Virology, Scientific Reports, Matrix Biology and PLoS ONE.

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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