Nathalie Bâ

17 total papers · 2.2k total citations
12 papers, 1.8k citations indexed

About

Nathalie Bâ is a scholar working on Physiology, Molecular Biology and Epidemiology. According to data from OpenAlex, Nathalie Bâ has authored 12 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 4 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in Nathalie Bâ's work include Liver Disease Diagnosis and Treatment (2 papers), Telomeres, Telomerase, and Senescence (2 papers) and Connective Tissue Growth Factor Research (2 papers). Nathalie Bâ is often cited by papers focused on Liver Disease Diagnosis and Treatment (2 papers), Telomeres, Telomerase, and Senescence (2 papers) and Connective Tissue Growth Factor Research (2 papers). Nathalie Bâ collaborates with scholars based in France, Indonesia and Tunisia. Nathalie Bâ's co-authors include Valérie Paradis, Pierre Bédossa, Delphine Dargère, Michel Vidaud, Stéphane Huet, Christine Lepajolec, Thierry Lazure, Marc Ittah, Catherine Buffet and Marc Conti and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Hepatology and Human Pathology.

In The Last Decade

Nathalie Bâ

12 papers receiving 1.7k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nathalie Bâ 620 599 496 441 366 12 1.8k
Sudeep Kundu 761 1.2× 393 0.7× 447 0.9× 109 0.2× 536 1.5× 18 2.0k
Catherine Hall 291 0.5× 193 0.3× 305 0.6× 258 0.6× 204 0.6× 19 1.6k
Terese Haaland 193 0.3× 1.2k 2.1× 299 0.6× 623 1.4× 133 0.4× 17 1.7k
Jose‐Carlos Gutierrez‐Ramos 464 0.7× 327 0.5× 385 0.8× 164 0.4× 1.3k 3.5× 13 2.4k
Francis R. Weiner 136 0.2× 605 1.0× 667 1.3× 789 1.8× 145 0.4× 25 1.9k
Stefan Kröber 363 0.6× 294 0.5× 569 1.1× 65 0.1× 563 1.5× 25 1.9k
Padmini Malladi 132 0.2× 474 0.8× 354 0.7× 212 0.5× 147 0.4× 27 1.4k
A. Katrina Loomis 181 0.3× 868 1.4× 354 0.7× 339 0.8× 801 2.2× 19 2.0k
R. Pérez-Álvarez 636 1.0× 341 0.6× 85 0.2× 164 0.4× 300 0.8× 25 1.6k
Christer Baeck 109 0.2× 759 1.3× 247 0.5× 594 1.3× 437 1.2× 11 1.4k

Countries citing papers authored by Nathalie Bâ

Since Specialization
Citations

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

Fields of papers citing papers by Nathalie Bâ

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathalie Bâ

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

All Works

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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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