Frédéric Sala

4.4k total citations
85 papers, 2.8k citations indexed

About

Frédéric Sala is a scholar working on Molecular Biology, Surgery and Artificial Intelligence. According to data from OpenAlex, Frédéric Sala has authored 85 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 28 papers in Surgery and 22 papers in Artificial Intelligence. Recurrent topics in Frédéric Sala's work include Congenital Diaphragmatic Hernia Studies (16 papers), Advanced Data Storage Technologies (15 papers) and Fibroblast Growth Factor Research (14 papers). Frédéric Sala is often cited by papers focused on Congenital Diaphragmatic Hernia Studies (16 papers), Advanced Data Storage Technologies (15 papers) and Fibroblast Growth Factor Research (14 papers). Frédéric Sala collaborates with scholars based in United States, France and United Kingdom. Frédéric Sala's co-authors include Savério Bellusci, Stijn De Langhe, David Warburton, Tracy C. Grikscheit, Lara Dolecek, Pierre-Marie del Moral, Allison L. Speer, Jacqueline M. Veltmaat, R. Cartland Burns and Timothy Fairbanks and has published in prestigious journals such as Gastroenterology, PLoS ONE and Development.

In The Last Decade

Frédéric Sala

84 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Frédéric Sala United States	27	1.3k	1.1k	807	350	308	85	2.8k
Xiao Yang China	30	3.2k 2.4×	717 0.6×	432 0.5×	104 0.3×	552 1.8×	200	4.5k
Soo Young Park South Korea	35	943 0.7×	1.0k 0.9×	544 0.7×	370 1.1×	523 1.7×	182	3.9k
Grace Lin United States	29	741 0.6×	302 0.3×	357 0.4×	257 0.7×	189 0.6×	104	3.0k
Frank Bergmann Germany	35	1.8k 1.3×	939 0.8×	553 0.7×	145 0.4×	1.7k 5.7×	98	4.1k
Tao Peng China	28	1.8k 1.3×	266 0.2×	186 0.2×	110 0.3×	368 1.2×	104	2.8k
Wenle Wang China	21	690 0.5×	215 0.2×	828 1.0×	136 0.4×	344 1.1×	53	2.4k
Yuji Ishida Japan	28	645 0.5×	268 0.2×	184 0.2×	127 0.4×	206 0.7×	137	2.6k
Balázs Dezsö Hungary	29	1.4k 1.1×	334 0.3×	349 0.4×	127 0.4×	419 1.4×	98	3.5k
Darya Chudova United States	16	661 0.5×	577 0.5×	543 0.7×	560 1.6×	565 1.8×	64	3.1k
Pavel Sumazin United States	29	2.8k 2.1×	123 0.1×	411 0.5×	336 1.0×	658 2.1×	68	4.1k

Countries citing papers authored by Frédéric Sala

Since Specialization

Citations

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

Fields of papers citing papers by Frédéric Sala

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frédéric Sala

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Chung, Daniel J. H., et al.. (2025). Theoretical physics benchmark (TPBench)—a dataset and study of AI reasoning capabilities in theoretical physics. Machine Learning Science and Technology. 6(3). 30505–30505. 1 indexed citations

Nachman, Benjamin, et al.. (2023). Resonant anomaly detection with multiple reference datasets. Journal of High Energy Physics. 2023(7). 7 indexed citations

Varma, Paroma, Frédéric Sala, Shiori Sagawa, et al.. (2019). Multi-Resolution Weak Supervision for Sequential Data. Neural Information Processing Systems. 32. 192–203. 2 indexed citations

Varma, Paroma, et al.. (2019). Learning Dependency Structures for Weak Supervision Models. International Conference on Machine Learning. 6418–6427. 6 indexed citations

Sala, Frédéric, et al.. (2019). Model for corn kernels weight estimating based on mature corn ears dimensional parameters.. Research Journal of Agricultural Science. 51(4). 51–60. 1 indexed citations

Gu, Albert, Frédéric Sala, Beliz Gunel, & Christopher Ré. (2018). Learning Mixed-Curvature Representations in Product Spaces.. International Conference on Learning Representations. 34 indexed citations

Sala, Frédéric, et al.. (2017). Don’t Fear the Bit Flips: Robust Linear Prediction Through Informed Channel Coding. International Conference on Machine Learning. 1 indexed citations

Dolecek, Lara & Frédéric Sala. (2016). Channel Coding Methods for Non-Volatile Memories. 13(1). 1–128. 5 indexed citations

Sala, Frédéric. (2013). Novel Coding Strategies for Multi-Level Non-Volatile Memories. eScholarship (California Digital Library). 73(1). 86–92. 1 indexed citations

10.

Alam, Denise Al, Frédéric Sala, Soula Danopoulos, et al.. (2012). FGF9–Pitx2–FGF10 signaling controls cecal formation in mice. Developmental Biology. 369(2). 340–348. 22 indexed citations

11.

Warburton, David, Ahmed El-Hashash, Gianni Carraro, et al.. (2010). Lung Organogenesis. Current topics in developmental biology. 90. 73–158. 301 indexed citations

12.

Sala, Frédéric, Henri R. Ford, Kasper S. Wang, et al.. (2009). Wnt5a Knock-out Mouse as a New Model of Anorectal Malformation. Journal of Surgical Research. 156(2). 278–282. 50 indexed citations

13.

Grikscheit, Tracy C., Frédéric Sala, Jennifer B. Ogilvie, et al.. (2008). Tissue-Engineered Spleen Protects Against Overwhelming Pneumococcal Sepsis in a Rodent Model. Journal of Surgical Research. 149(2). 214–218. 21 indexed citations

14.

Unbekandt, Mathieu, Pierre-Marie del Moral, Frédéric Sala, et al.. (2007). Tracheal occlusion increases the rate of epithelial branching of embryonic mouse lung via the FGF10-FGFR2b-Sprouty2 pathway. Mechanisms of Development. 125(3-4). 314–324. 73 indexed citations

15.

Spencer‐Dene, Bradley, Frédéric Sala, Savério Bellusci, et al.. (2006). Stomach Development Is Dependent on Fibroblast Growth Factor 10/Fibroblast Growth Factor Receptor 2b–Mediated Signaling. Gastroenterology. 130(4). 1233–1244. 52 indexed citations

16.

Moral, Pierre-Marie del, Frédéric Sala, Denise Tefft, et al.. (2005). VEGF-A signaling through Flk-1 is a critical facilitator of early embryonic lung epithelial to endothelial crosstalk and branching morphogenesis. Developmental Biology. 290(1). 177–188. 101 indexed citations

17.

Tefft, Denise, Stijn De Langhe, Pierre-Marie del Moral, et al.. (2005). A novel function for the protein tyrosine phosphatase Shp2 during lung branching morphogenesis. Developmental Biology. 282(2). 422–431. 26 indexed citations

18.

Fairbanks, Timothy, Stijn De Langhe, Frédéric Sala, et al.. (2004). Fibroblast growth factor 10 (Fgf10) invalidation results in anorectal malformation in mice. Journal of Pediatric Surgery. 39(3). 360–365. 44 indexed citations

19.

Langhe, Stijn De, Frédéric Sala, Timothy Fairbanks, et al.. (2004). Dickkopf-1 (DKK1) reveals that fibronectin is a major target of Wnt signaling in branching morphogenesis of the mouse embryonic lung. Developmental Biology. 277(2). 316–331. 177 indexed citations

20.

Monti, M., et al.. (1982). Metodi per l'identificazione e lo studio delle cellule di Langerhans.. Redia-Giornale Di Zoologia. 117(1). 1–6. 2 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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