Pierre Machart

513 total citations
9 papers, 228 citations indexed

About

Pierre Machart is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Pierre Machart has authored 9 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Immunology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Pierre Machart's work include vaccines and immunoinformatics approaches (4 papers), Single-cell and spatial transcriptomics (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Pierre Machart is often cited by papers focused on vaccines and immunoinformatics approaches (4 papers), Single-cell and spatial transcriptomics (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Pierre Machart collaborates with scholars based in Germany, United Kingdom and France. Pierre Machart's co-authors include Stefan Bonn, Mohamed Marouf, Christian F. Krebs, V. Bansal, Daniel Sumner Magruder, Christoph Kilian, Martin Renqiang Min, Kai Li, Karin Kloiber and Sergio Oller Moreno and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

Pierre Machart

8 papers receiving 224 citations

Peers

Pierre Machart
Comparison fields: 5 of 60
  • Molecular Biology 175
  • Biophysics 44
  • Artificial Intelligence 36
  • Immunology 36
  • Radiology, Nuclear Medicine and Imaging 32
Yuansong Zeng China
Bianca Dumitrascu United States
Kuan Pang Australia
Sydney Gang United States
Haotian Cui Canada
Safiye Çelik United States
Hao-Chih Lee United States
Soufiane Mourragui Netherlands
Karthik Damodaran Singapore
Yuansong Zeng China View profile →
Citations per field, relative to Pierre Machart
Pierre Machart · 1×
Citations per year, relative to Pierre Machart
Pierre Machart · 1×

Countries citing papers authored by Pierre Machart

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Machart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Machart

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

All Works

9 of 9 papers shown
# Work Indexed citations
1 0
2 5
3 3
4 8
5 10
6 38
7 22
8 135
9
Reconciling "priors" & "priors" without prejudice?
7

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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