Malika Jaquenoud

2.7k citations
25 papers · 2.1k indexed · h-index 22
Topics
Fungal and yeast genetics research (13 papers)PI3K/AKT/mTOR signaling in cancer (5 papers)Microtubule and mitosis dynamics (4 papers)

In The Last Decade

Malika Jaquenoud

25 papers receiving 2.1k citations

Peers

Malika Jaquenoud
Comparison fields: 5 of 83
  • Molecular Biology 1.9k
  • Cell Biology 819
  • Plant Science 301
  • Oncology 218
  • Epidemiology 179
Replace Stephen B. Helliwell with:
Stephen B. Helliwell Switzerland
Janni Petersen United Kingdom
Hiromi Maekawa Japan
Anja Lorberg Germany
Sigurd Braun Germany
Joshua Trueheart United States
Rainer Pöhlmann Switzerland
Matthias Versele Belgium
Dorothea Anrather Austria
Akio Sugino United States
Malika Jaquenoud relative to Stephen B. Helliwell Switzerland Stephen B. Helliwell's profile →
Citations per field
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Stephen B. Helliwell · 1×
Citations per year

Countries citing papers authored by Malika Jaquenoud

Since Specialization
Citations

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

Fields of papers citing papers by Malika Jaquenoud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malika Jaquenoud

This figure shows the co-authorship network connecting the top 25 collaborators of Malika Jaquenoud. A scholar is included among the top collaborators of Malika Jaquenoud 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 Malika Jaquenoud. Malika Jaquenoud 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 1
2 39
3 26
4 67
5 82
6 27
7 75
8 51
9 274
10 70
11 94
12 18
13 119
14 72
15 23
16 84
17 188
18 135
19 86
20 144

About Malika Jaquenoud

Malika Jaquenoud is a scholar working on Aging, Cell Biology and Molecular Biology, having authored 25 papers that have together received 2.1k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (13 papers), PI3K/AKT/mTOR signaling in cancer (5 papers) and Microtubule and mitosis dynamics (4 papers). The work is most often cited by research in Cell Biology (819 citations), Aging (82 citations) and Molecular Biology (1.9k citations). Malika Jaquenoud has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Matthias Peter, Claudio De Virgilio, Marie‐Pierre Gulli, Séverine Bontron, Erich A. Nigg, Jean‐Pierre Tassan, Christian Ungermann, Clemens W. Ostrowicz, Andreas Conzelmann and Frank van Drogen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Genes & Development.

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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