Christine Becker

67 total papers · 4.8k total citations
31 papers, 2.4k citations indexed

About

Christine Becker is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Christine Becker has authored 31 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 12 papers in Molecular Biology and 6 papers in Epidemiology. Recurrent topics in Christine Becker's work include Psoriasis: Treatment and Pathogenesis (5 papers), Inflammasome and immune disorders (5 papers) and Vitamin D Research Studies (3 papers). Christine Becker is often cited by papers focused on Psoriasis: Treatment and Pathogenesis (5 papers), Inflammasome and immune disorders (5 papers) and Vitamin D Research Studies (3 papers). Christine Becker collaborates with scholars based in United States, Denmark and Germany. Christine Becker's co-authors include Lynda M. Stuart, Katherine A. Fitzgerald, Anna Sokolovska, Vijay Rathinam, Sivapriya Kailasan Vanaja, Luke O'neill, Lisa Waggoner, John M. Leong, Kathryn J. Moore and Hasini Ediriweera and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Christine Becker

31 papers receiving 2.3k citations

Hit Papers

CD36 coordinates NLRP3 in... 2012 2026 2016 2021 2013 2012 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Christine Becker 1.2k 1.0k 392 253 235 31 2.4k
Li Zhang 1.1k 0.9× 533 0.5× 214 0.5× 206 0.8× 128 0.5× 18 1.7k
Alexander P. Osmand 1.1k 0.9× 496 0.5× 357 0.9× 253 1.0× 347 1.5× 40 2.5k
Taizo Matsuki 615 0.5× 1.5k 1.4× 523 1.3× 134 0.5× 224 1.0× 52 2.8k
Marc Le Bert 1.0k 0.8× 1.2k 1.1× 355 0.9× 277 1.1× 281 1.2× 62 3.0k
Charles A. Dinarello 464 0.4× 666 0.6× 259 0.7× 158 0.6× 166 0.7× 16 1.9k
Xin Geng 1.3k 1.1× 975 0.9× 521 1.3× 325 1.3× 312 1.3× 87 3.1k
Belén de Andrés 532 0.4× 606 0.6× 161 0.4× 210 0.8× 319 1.4× 69 1.9k
Ruth Gallily 681 0.6× 653 0.6× 210 0.5× 172 0.7× 246 1.0× 59 2.1k
Akula Bala Pramod 1.2k 1.0× 1.3k 1.2× 252 0.6× 193 0.8× 139 0.6× 29 2.7k
N. Matsuoka 566 0.5× 1.1k 1.0× 245 0.6× 397 1.6× 269 1.1× 63 2.6k

Countries citing papers authored by Christine Becker

Since Specialization
Citations

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

Fields of papers citing papers by Christine Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christine Becker

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