Valérie Lang

27 total papers · 1.5k total citations
23 papers, 1.2k citations indexed

About

Valérie Lang is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Valérie Lang has authored 23 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 14 papers in Oncology and 7 papers in Immunology. Recurrent topics in Valérie Lang's work include Ubiquitin and proteasome pathways (14 papers), NF-κB Signaling Pathways (6 papers) and interferon and immune responses (5 papers). Valérie Lang is often cited by papers focused on Ubiquitin and proteasome pathways (14 papers), NF-κB Signaling Pathways (6 papers) and interferon and immune responses (5 papers). Valérie Lang collaborates with scholars based in Spain, France and United Kingdom. Valérie Lang's co-authors include Manuel S. Rodríguez, Fabienne Aillet, Fernando Lopitz‐Otsoa, Roland Hjerpe, Patrick England, César Trigueros, Ronald T. Hay, Jon Fernández‐Rueda, Akaitz Dorronsoro and Pilar Sepúlveda and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and PLoS ONE.

In The Last Decade

Valérie Lang

23 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Valérie Lang 811 410 308 186 149 23 1.2k
Anita Tandle 765 0.9× 321 0.8× 147 0.5× 324 1.7× 108 0.7× 33 1.2k
Andrew J.K. Williamson 658 0.8× 169 0.4× 124 0.4× 130 0.7× 81 0.5× 35 1.0k
Kathleen Haskell 884 1.1× 351 0.9× 100 0.3× 116 0.6× 120 0.8× 18 1.2k
Heather Tillman 572 0.7× 293 0.7× 412 1.3× 129 0.7× 111 0.7× 37 1.2k
Wen-Lin Huang 902 1.1× 350 0.9× 119 0.4× 367 2.0× 70 0.5× 25 1.3k
Daniel Rajotte 997 1.2× 309 0.8× 306 1.0× 140 0.8× 50 0.3× 19 1.5k
Pavel Moudrý 950 1.2× 508 1.2× 123 0.4× 208 1.1× 64 0.4× 18 1.3k
Jennifer Bordeaux 602 0.7× 407 1.0× 139 0.5× 192 1.0× 107 0.7× 26 1.1k
John T. Kemshead 463 0.6× 438 1.1× 225 0.7× 72 0.4× 75 0.5× 35 1.2k
Jingfeng Zhao 1.2k 1.4× 332 0.8× 212 0.7× 397 2.1× 72 0.5× 30 1.5k

Countries citing papers authored by Valérie Lang

Since Specialization
Citations

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

Fields of papers citing papers by Valérie Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valérie Lang

This figure shows the co-authorship network connecting the top 25 collaborators of Valérie Lang. A scholar is included among the top collaborators of Valérie Lang 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 Valérie Lang. Valérie Lang 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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