Maxence V. Nachury
- Molecular Biology top 0.5%
- Genetics top 0.1%
- Cell Biology top 0.1%
- Cellular and Molecular Neuroscience top 5%
- Pediatrics, Perinatology and Child Health top 5%
- Co-authors
- Hua JinKarsten WeisE. Scott SeeleyPeter K. JacksonDavid U. MickZhenjie XuJ. Fernando BazánDidier Portran
- Topics
- Genetic and Kidney Cyst Diseases (40 papers)Microtubule and mitosis dynamics (25 papers)Hedgehog Signaling Pathway Studies (15 papers)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Maxence V. Nachury
62 papers receiving 8.7k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Molecular Biology 7.0k
- Genetics 4.8k
- Cell Biology 3.5k
- Cellular and Molecular Neuroscience 441
- Pediatrics, Perinatology and Child Health 365
Countries citing papers authored by Maxence V. Nachury
This map shows the geographic impact of Maxence V. Nachury'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 Maxence V. Nachury with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxence V. Nachury more than expected).
Fields of papers citing papers by Maxence V. Nachury
This network shows the impact of papers produced by Maxence V. Nachury. 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 Maxence V. Nachury. The network helps show where Maxence V. Nachury may publish in the future.
Co-authorship network of co-authors of Maxence V. Nachury
This figure shows the co-authorship network connecting the top 25 collaborators of Maxence V. Nachury. A scholar is included among the top collaborators of Maxence V. Nachury 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 Maxence V. Nachury. Maxence V. Nachury is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 20 | |
| 3 | 2 | |
| 4 | 57 | |
| 5 | 58 | |
| 6 | Microtubules acquire resistance from mechanical breakage through intralumenal acetylationbreakdown → | 353 |
| 7 | 197 | |
| 8 | 10 | |
| 9 | 159 | |
| 10 | 64 | |
| 11 | 143 | |
| 12 | The BBSome In The Photoreceptor Cells And Non-ciliated Retinal Neurons | 1 |
| 13 | 160 | |
| 14 | 392 | |
| 15 | 353 | |
| 16 | 63 | |
| 17 | 40 | |
| 18 | 219 | |
| 19 | 26 | |
| 20 | 329 |
About Maxence V. Nachury
Maxence V. Nachury is a scholar working on Cell Biology, Genetics and Molecular Biology, having authored 62 papers that have together received 8.8k indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (40 papers), Microtubule and mitosis dynamics (25 papers) and Hedgehog Signaling Pathway Studies (15 papers). The work is most often cited by research in Cell Biology (3.5k citations), Genetics (4.8k citations) and Molecular Biology (7.0k citations). Maxence V. Nachury has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Hua Jin, Karsten Weis, E. Scott Seeley, Peter K. Jackson, David U. Mick, Zhenjie Xu, J. Fernando Bazán, Didier Portran, Val C. Sheffield and Toshinobu Shida. Their work appears in journals such as Nature, Science and Cell.
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.