Nicolas Biais

3.8k citations
47 papers · 2.7k indexed · 1 hit paper · h-index 24
Topics
Cellular Mechanics and Interactions (16 papers)Bacteriophages and microbial interactions (10 papers)Biochemical and Structural Characterization (10 papers)

In The Last Decade

Nicolas Biais

43 papers receiving 2.7k citations

Hit Papers

Cytotoxic T Cells Use Mechanical Force to Potentiate Targ...20162026201920222016100200300

Peers

Nicolas Biais
Comparison fields: 5 of 133
  • Cell Biology 1.1k
  • Molecular Biology 1.1k
  • Biomedical Engineering 639
  • Genetics 420
  • Atomic and Molecular Physics, and Optics 351
Replace Mary C. Reedy with:
Mary C. Reedy United States
Antonio Sechi Germany
Tony Yeung Canada
René‐Marc Mège France
Eric Carlemalm Sweden
Coumaran Égile France
Marcelo Ehrlich Israel
Florence Niedergang France
Mabel Jouve France
Valérie Laurent France
Nicolas Biais relative to Mary C. Reedy United States Mary C. Reedy's profile →
Citations per field
00.5×3.6×
Mary C. Reedy · 1×
Citations per year

Countries citing papers authored by Nicolas Biais

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Biais

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Biais

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Biais. A scholar is included among the top collaborators of Nicolas Biais 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 Nicolas Biais. Nicolas Biais 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 0
2 0
3 42
4 1
5 1
6
Pili mediated intercellular forces shape heterogeneous bacterial microcolonies prior to multicellular differentiation
19
7 185
8 192
9 30
10 46
11 22
12
Cytotoxic T Cells Use Mechanical Force to Potentiate Target Cell Killingbreakdown →
345
13
Kinetic Description for Formation and Dissolution of Living Colonies
1
14 23
15 16
16 183
17 1
18 18
19 96
20 235

About Nicolas Biais

Nicolas Biais is a scholar working on Microbiology, Cell Biology and Endocrinology, having authored 47 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (16 papers), Bacteriophages and microbial interactions (10 papers) and Biochemical and Structural Characterization (10 papers). The work is most often cited by research in Cell Biology (1.1k citations), Immunology and Allergy (270 citations) and Endocrinology (198 citations). Nicolas Biais has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Michael P. Sheetz, Benoît Ladoux, Nils C. Gauthier, M. Tanase, Dustin L. Higashi, Magdalene So, Ankur B. Dalia, Grégory Giannone, Pere Roca‐Cusachs and Yves V. Brun. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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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