Liisa Laakkonen

2.4k citations
35 papers · 1.5k indexed · h-index 23
Topics
Photosynthetic Processes and Mechanisms (12 papers)Neuropeptides and Animal Physiology (7 papers)Photoreceptor and optogenetics research (6 papers)

In The Last Decade

Liisa Laakkonen

35 papers receiving 1.5k citations

Peers

Liisa Laakkonen
Comparison fields: 5 of 102
  • Molecular Biology 1.0k
  • Cellular and Molecular Neuroscience 430
  • Atomic and Molecular Physics, and Optics 161
  • Inorganic Chemistry 160
  • Genetics 134
Replace Michael W. Mather with:
Michael W. Mather United States
Kenneth A. Satyshur United States
Koji Kato Japan
Laurence Serre France
Toshihide Okajima Japan
Christoph von Ballmoos Switzerland
Herbert L. Axelrod United States
Kong Hung Sze Hong Kong
Tohru Terada Japan
Michael P. Valley United States
Liisa Laakkonen relative to Michael W. Mather United States Michael W. Mather's profile →
Citations per field
00.5×4.9×
Michael W. Mather · 1×
Citations per year

Countries citing papers authored by Liisa Laakkonen

Since Specialization
Citations

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

Fields of papers citing papers by Liisa Laakkonen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liisa Laakkonen

This figure shows the co-authorship network connecting the top 25 collaborators of Liisa Laakkonen. A scholar is included among the top collaborators of Liisa Laakkonen 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 Liisa Laakkonen. Liisa Laakkonen 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 35
2 82
3 11
4 43
5 15
6 6
7 45
8 48
9 22
10 28
11 19
12 36
13 17
14
Binding of novel peptide inhibitors of type IV collagenases to phospholipid membranes and use in liposome targeting to tumor cells in vitro.
42
15 18
16 322
17 36
18 13
19 19
20 22

About Liisa Laakkonen

Liisa Laakkonen is a scholar working on Cellular and Molecular Neuroscience, Pharmacology and Molecular Biology, having authored 35 papers that have together received 1.5k indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (12 papers), Neuropeptides and Animal Physiology (7 papers) and Photoreceptor and optogenetics research (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (430 citations), Molecular Biology (1.0k citations) and Inorganic Chemistry (160 citations). Liisa Laakkonen has collaborated with scholars based in Finland, United States and Norway. Frequent co-authors include Mårten Wikström, Anne Puustinen, Pekka Pyykkö, Sirpa Riistama, Gisela Larsson, Jeff Abramson, So Iwata, Audrius Jasaitis, Margareta Svensson-Ek and Victor A. Albert. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Chemical Physics.

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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