Annaïse Jauch

1.3k total citations
9 papers, 507 citations indexed

About

Annaïse Jauch is a scholar working on Immunology, Neurology and Oncology. According to data from OpenAlex, Annaïse Jauch has authored 9 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 2 papers in Neurology and 2 papers in Oncology. Recurrent topics in Annaïse Jauch's work include T-cell and B-cell Immunology (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Annaïse Jauch is often cited by papers focused on T-cell and B-cell Immunology (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Annaïse Jauch collaborates with scholars based in Switzerland, United Kingdom and France. Annaïse Jauch's co-authors include Christoph Hess, Marco Fischer, Gideon Höenger, Patrick M. Gubser, Bojana Müller-Durovic, Glenn R. Bantug, Sarah Dimeloe, Mike Recher, Andreas Holbro and Didier Lardinois and has published in prestigious journals such as Nature Communications, Nature Immunology and PLoS ONE.

In The Last Decade

Annaïse Jauch

8 papers receiving 503 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Annaïse Jauch Switzerland 5 334 138 108 87 57 9 507
Gideon Höenger Switzerland 7 335 1.0× 133 1.0× 102 0.9× 91 1.0× 56 1.0× 9 502
Avishai Shemesh United States 15 469 1.4× 198 1.4× 284 2.6× 54 0.6× 25 0.4× 21 685
Ryoji Kawakami Japan 10 464 1.4× 253 1.8× 121 1.1× 73 0.8× 56 1.0× 19 740
Dominika Lukas Germany 6 398 1.2× 125 0.9× 80 0.7× 76 0.9× 21 0.4× 9 522
Choong‐Hyun Koh South Korea 9 339 1.0× 107 0.8× 211 2.0× 30 0.3× 25 0.4× 11 490
Kung‐Chi Kao Switzerland 7 201 0.6× 133 1.0× 138 1.3× 92 1.1× 21 0.4× 9 417
Cathelijn E.M. Aarts Netherlands 8 279 0.8× 166 1.2× 67 0.6× 26 0.3× 36 0.6× 16 453
C. Matthias Wilk Switzerland 11 159 0.5× 131 0.9× 144 1.3× 62 0.7× 31 0.5× 29 516
Iwona Kwiecień Poland 13 194 0.6× 70 0.5× 141 1.3× 34 0.4× 18 0.3× 35 371
Aikaterini Hatzioannou Greece 12 375 1.1× 135 1.0× 178 1.6× 47 0.5× 37 0.6× 19 561

Countries citing papers authored by Annaïse Jauch

Since Specialization
Citations

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

Fields of papers citing papers by Annaïse Jauch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annaïse Jauch

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

All Works

9 of 9 papers shown
1.
Jauch, Annaïse, Ilaria Alborelli, Olivier Bignucolo, et al.. (2024). Case report: ‘Atypical Richter transformation from CLL-type monoclonal B-cell lymphocytosis into Burkitt lymphoma in a treatment naïve patient’. Frontiers in Oncology. 14. 1296238–1296238. 1 indexed citations
2.
Chatelain, Franck C., Delphine Bichet, Annaïse Jauch, et al.. (2024). Mechanistic basis of the dynamic response of TWIK1 ionic selectivity to pH. Nature Communications. 15(1). 3849–3849. 2 indexed citations
3.
Furrer, Regula, Annaïse Jauch, Tata Nageswara Rao, et al.. (2021). Remodeling of metabolism and inflammation by exercise ameliorates tumor-associated anemia. Science Advances. 7(37). eabi4852–eabi4852. 19 indexed citations
4.
Galson, Jacob D., Aleksandr Kovaltsuk, Jana Pachlopnik Schmid, et al.. (2020). Maturation of the Human Immunoglobulin Heavy Chain Repertoire With Age. Frontiers in Immunology. 11. 1734–1734. 29 indexed citations
5.
Galson, Jacob D., Aleksandr Kovaltsuk, Jana Pachlopnik Schmid, et al.. (2020). Maturation of the Human B-Cell Receptor Repertoire with Age. SSRN Electronic Journal.
6.
Renkawitz, Jörg, Annaïse Jauch, Christoph T. Berger, et al.. (2018). Nano-scale microfluidics to study 3D chemotaxis at the single cell level. PLoS ONE. 13(6). e0198330–e0198330. 28 indexed citations
7.
Gubser, Patrick M., Glenn R. Bantug, Marco Fischer, et al.. (2013). Rapid effector function of memory CD8+ T cells requires an immediate-early glycolytic switch. Nature Immunology. 14(10). 1064–1072. 391 indexed citations
8.
Holbro, Andreas, Annaïse Jauch, Didier Lardinois, et al.. (2011). High prevalence of infections and autoimmunity in patients with thymoma. Human Immunology. 73(3). 287–290. 36 indexed citations
9.
Leotlela, Poloko D., et al.. (2003). Genetic abnormalities in carcinoid tumours. Endocrine Related Cancer. 10. 505–506. 1 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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