Francisca Méchali

412 citations
16 papers · 319 indexed · h-index 11
Topics
Ubiquitin and proteasome pathways (9 papers)Microtubule and mitosis dynamics (5 papers)Cancer-related Molecular Pathways (4 papers)
Partner nations
FranceUnited Kingdom

In The Last Decade

Francisca Méchali

16 papers receiving 314 citations

Peers

Francisca Méchali
Comparison fields: 5 of 51
  • Molecular Biology 225
  • Oncology 94
  • Epidemiology 93
  • Genetics 66
  • Cell Biology 65
Replace Jen‐Sing Liu with:
Jen‐Sing Liu United States
Anna Kalinina United States
Mary Donaldson United Kingdom
Triin Laos Austria
Chris W. Lehman United States
Kerstin Reumann Germany
Michael R. Wyler United States
K Q Hu United States
Florence Maurier France
Nadav Myers Israel
Francisca Méchali relative to Jen‐Sing Liu United States Jen‐Sing Liu's profile →
Citations per field
00.5×
Jen‐Sing Liu · 1×
Citations per year

Countries citing papers authored by Francisca Méchali

Since Specialization
Citations

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

Fields of papers citing papers by Francisca Méchali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francisca Méchali

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 4
2 30
3 8
4 13
5 28
6 4
7 6
8 18
9 14
10 70
11 19
12 20
13 13
14 42
15 9
16 21

About Francisca Méchali

Francisca Méchali is a scholar working on Cell Biology, Oncology and Molecular Biology, having authored 16 papers that have together received 319 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (9 papers), Microtubule and mitosis dynamics (5 papers) and Cancer-related Molecular Pathways (4 papers). The work is most often cited by research in Cell Biology (65 citations), Oncology (94 citations) and Molecular Biology (225 citations). Francisca Méchali has collaborated with scholars based in France and United Kingdom. Frequent co-authors include Catherine Bonne-Andréa, Stéphanie Blachon, Françoise Thierry, Sophie Bellanger, Olivier Coux, Thierry Lorca, Anna Castro, Michel Philippe, Chiung‐Yueh Hsu and Marcel Méchali. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

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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