Marc‐Antoine Jacques

463 total citations
9 papers, 239 citations indexed

About

Marc‐Antoine Jacques is a scholar working on Molecular Biology, Biophysics and Cell Biology. According to data from OpenAlex, Marc‐Antoine Jacques has authored 9 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Biophysics and 3 papers in Cell Biology. Recurrent topics in Marc‐Antoine Jacques's work include Cell Image Analysis Techniques (5 papers), Gene Regulatory Network Analysis (4 papers) and Single-cell and spatial transcriptomics (3 papers). Marc‐Antoine Jacques is often cited by papers focused on Cell Image Analysis Techniques (5 papers), Gene Regulatory Network Analysis (4 papers) and Single-cell and spatial transcriptomics (3 papers). Marc‐Antoine Jacques collaborates with scholars based in Switzerland, United States and Austria. Marc‐Antoine Jacques's co-authors include Olivier Pertz, Maciej Dobrzyński, Paolo Armando Gagliardi, Andrew R. Cohen, Yannick Blum, Robert M. Hughes, Agne Frismantiene, Mustafa Khammash, Hyunryul Ryu and Noo Li Jeon and has published in prestigious journals such as The Journal of Cell Biology, Bioinformatics and Developmental Cell.

In The Last Decade

Marc‐Antoine Jacques

9 papers receiving 239 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Marc‐Antoine Jacques Switzerland	8	161	68	62	30	24	9	239
Taryn E. Gillies United States	7	257 1.6×	47 0.7×	155 2.5×	26 0.9×	44 1.8×	9	380
Oded Sandler Israel	6	298 1.9×	26 0.4×	88 1.4×	24 0.8×	22 0.9×	6	353
Andrew Weems United States	9	235 1.5×	18 0.3×	113 1.8×	22 0.7×	26 1.1×	10	305
Ulrich Berge Switzerland	9	135 0.8×	45 0.7×	150 2.4×	17 0.6×	34 1.4×	10	319
Katsuyuki Kunida Japan	10	381 2.4×	57 0.8×	119 1.9×	56 1.9×	21 0.9×	18	504
Yuka Kumagai Japan	6	226 1.4×	62 0.9×	77 1.2×	64 2.1×	63 2.6×	13	320
Ilia Kats Germany	10	364 2.3×	50 0.7×	74 1.2×	15 0.5×	71 3.0×	17	421
Alan M. Moses Canada	7	428 2.7×	57 0.8×	76 1.2×	11 0.4×	20 0.8×	9	486
Anna Bartosik United States	4	267 1.7×	46 0.7×	107 1.7×	21 0.7×	48 2.0×	8	343

Countries citing papers authored by Marc‐Antoine Jacques

Since Specialization

Citations

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

Fields of papers citing papers by Marc‐Antoine Jacques

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc‐Antoine Jacques. 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 Marc‐Antoine Jacques. The network helps show where Marc‐Antoine Jacques may publish in the future.

Co-authorship network of co-authors of Marc‐Antoine Jacques

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

All Works

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9 of 9 papers shown

Nanda, Shivani, Marc‐Antoine Jacques, Wen Wang, et al.. (2023). Systems‐level transcriptional regulation of Caenorhabditis elegans metabolism. Molecular Systems Biology. 19(5). e11443–e11443. 11 indexed citations

Gagliardi, Paolo Armando, Marc‐Antoine Jacques, Andrew R. Cohen, et al.. (2023). Automatic detection of spatio-temporal signaling patterns in cell collectives. The Journal of Cell Biology. 222(10). 11 indexed citations

Dobrzyński, Maciej, Marc‐Antoine Jacques, Agne Frismantiene, et al.. (2022). Optogenetic actuator – ERK biosensor circuits identify MAPK network nodes that shape ERK dynamics. Molecular Systems Biology. 18(6). e10670–e10670. 26 indexed citations

Dobrzyński, Maciej, Marc‐Antoine Jacques, & Olivier Pertz. (2022). Mining of Single-Cell Signaling Time-Series for Dynamic Phenotypes with Clustering. Methods in molecular biology. 2488. 183–206. 1 indexed citations

Gagliardi, Paolo Armando, Maciej Dobrzyński, Agne Frismantiene, et al.. (2022). Spatiotemporal control of ERK pulse frequency coordinates fate decisions during mammary acinar morphogenesis. Developmental Cell. 57(18). 2153–2167.e6. 38 indexed citations

Jacques, Marc‐Antoine, Maciej Dobrzyński, Paolo Armando Gagliardi, Raphael Sznitman, & Olivier Pertz. (2021). CODEX, a neural network approach to explore signaling dynamics landscapes. Molecular Systems Biology. 17(4). e10026–e10026. 17 indexed citations

Gagliardi, Paolo Armando, Maciej Dobrzyński, Marc‐Antoine Jacques, et al.. (2021). Collective ERK/Akt activity waves orchestrate epithelial homeostasis by driving apoptosis-induced survival. Developmental Cell. 56(12). 1712–1726.e6. 94 indexed citations

Dobrzyński, Maciej, Marc‐Antoine Jacques, & Olivier Pertz. (2019). Mining single-cell time-series datasets with Time Course Inspector. Bioinformatics. 36(6). 1968–1969. 12 indexed citations

Blum, Yannick, Maciej Dobrzyński, Hyunryul Ryu, et al.. (2019). Temporal perturbation of ERK dynamics reveals network architecture of FGF2/MAPK signaling. Molecular Systems Biology. 15(11). e8947–e8947. 29 indexed citations

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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