Florian Weisel

4.2k total citations
27 papers, 3.0k citations indexed

About

Florian Weisel is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Florian Weisel has authored 27 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Immunology, 4 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in Florian Weisel's work include Immune Cell Function and Interaction (19 papers), T-cell and B-cell Immunology (19 papers) and Immunotherapy and Immune Responses (11 papers). Florian Weisel is often cited by papers focused on Immune Cell Function and Interaction (19 papers), T-cell and B-cell Immunology (19 papers) and Immunotherapy and Immune Responses (11 papers). Florian Weisel collaborates with scholars based in United States, Germany and Italy. Florian Weisel's co-authors include Mark J. Shlomchik, Wei Luo, Griselda Zuccarino-Catania, Maria Chikina, Thomas Winkler, Katrin Moser, Steven H. Kleinstein, Kerstin Amann, Rudolf A. Manz and Silke Meister and has published in prestigious journals such as Nature Medicine, The EMBO Journal and Blood.

In The Last Decade

Florian Weisel

26 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Florian Weisel United States 21 2.1k 630 456 294 246 27 3.0k
Ramit Mehr Israel 29 2.1k 1.0× 677 1.1× 221 0.5× 218 0.7× 287 1.2× 96 2.9k
Elissa K. Deenick Australia 27 2.7k 1.3× 498 0.8× 288 0.6× 201 0.7× 562 2.3× 39 3.4k
Wataru Ise Japan 23 3.0k 1.4× 760 1.2× 275 0.6× 201 0.7× 533 2.2× 41 3.8k
Kevin L. Otipoby United States 17 2.7k 1.3× 1.2k 1.9× 335 0.7× 190 0.6× 483 2.0× 29 4.0k
Mikhail Shugay Russia 28 2.2k 1.1× 1.2k 1.9× 282 0.6× 209 0.7× 762 3.1× 54 3.2k
Elizabeth A. Leadbetter United States 23 3.0k 1.4× 461 0.7× 430 0.9× 94 0.3× 309 1.3× 34 3.6k
Nicola Borthwick United Kingdom 25 2.0k 1.0× 506 0.8× 544 1.2× 301 1.0× 425 1.7× 58 2.8k
Reiko Shinkura Japan 29 1.9k 0.9× 1.3k 2.0× 344 0.8× 139 0.5× 416 1.7× 48 3.1k
Berend Hooibrink Netherlands 30 2.5k 1.2× 611 1.0× 557 1.2× 332 1.1× 493 2.0× 47 3.7k
Anja ten Brinke Netherlands 30 1.6k 0.8× 564 0.9× 304 0.7× 257 0.9× 474 1.9× 107 2.8k

Countries citing papers authored by Florian Weisel

Since Specialization
Citations

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

Fields of papers citing papers by Florian Weisel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florian Weisel

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

All Works

20 of 20 papers shown
1.
Callahan, Derrick, Shuchi Smita, Stephen Joachim, et al.. (2024). Memory B cell subsets have divergent developmental origins that are coupled to distinct imprinted epigenetic states. Nature Immunology. 25(3). 562–575. 19 indexed citations
2.
Kim, Eun Young, Alex McPherson, Florian Weisel, et al.. (2022). Adenovirus-vectored SARS-CoV-2 vaccine expressing S1-N fusion protein. PubMed. 5(3). 177–191. 7 indexed citations
3.
Camiolo, Matthew, Xiaoying Zhou, Timothy B. Oriss, et al.. (2021). High-dimensional profiling clusters asthma severity by lymphoid and non-lymphoid status. Cell Reports. 35(2). 108974–108974. 37 indexed citations
4.
Joachim, Stephen, Shuchi Smita, Derrick Callahan, et al.. (2021). Surface phenotypes of naive and memory B cells in mouse and human tissues. Nature Immunology. 23(1). 135–145. 69 indexed citations
5.
Kim, Eun Ran, Florian Weisel, Stephen C. Balmert, et al.. (2021). A single subcutaneous or intranasal immunization with adenovirus‐based SARS‐CoV‐2 vaccine induces robust humoral and cellular immune responses in mice. European Journal of Immunology. 51(7). 1774–1784. 29 indexed citations
6.
Trivedi, Nikita, Florian Weisel, Shuchi Smita, et al.. (2019). Liver Is a Generative Site for the B Cell Response to Ehrlichia muris. Immunity. 51(6). 1088–1101.e5. 42 indexed citations
7.
Luo, Wei, William F. Hawse, Laura Conter, et al.. (2019). The AKT kinase signaling network is rewired by PTEN to control proximal BCR signaling in germinal center B cells. Nature Immunology. 20(6). 736–746. 47 indexed citations
8.
Shlomchik, Mark J. & Florian Weisel. (2019). B cell primary immune responses. Immunological Reviews. 288(1). 5–9. 8 indexed citations
9.
Luo, Wei, Florian Weisel, & Mark J. Shlomchik. (2018). B Cell Receptor and CD40 Signaling Are Rewired for Synergistic Induction of the c-Myc Transcription Factor in Germinal Center B Cells. Immunity. 48(2). 313–326.e5. 235 indexed citations
10.
Weisel, Florian, Griselda Zuccarino-Catania, Maria Chikina, & Mark J. Shlomchik. (2016). A Temporal Switch in the Germinal Center Determines Differential Output of Memory B and Plasma Cells. Immunity. 44(1). 116–130. 350 indexed citations
11.
Jash, Arijita, Yinan Wang, Florian Weisel, et al.. (2016). ZBTB32 Restricts the Duration of Memory B Cell Recall Responses. The Journal of Immunology. 197(4). 1159–1168. 32 indexed citations
12.
Zuccarino-Catania, Griselda, Saheli Sadanand, Florian Weisel, et al.. (2014). CD80 and PD-L2 define functionally distinct memory B cell subsets that are independent of antibody isotype. Nature Immunology. 15(7). 631–637. 308 indexed citations
13.
Shlomchik, Mark J. & Florian Weisel. (2012). Germinal centers. Immunological Reviews. 247(1). 5–10. 29 indexed citations
14.
Shlomchik, Mark J. & Florian Weisel. (2012). Germinal center selection and the development of memory B and plasma cells. Immunological Reviews. 247(1). 52–63. 308 indexed citations
15.
Gläsner, Joachim, et al.. (2012). JAB1 Is Essential for B Cell Development and Germinal Center Formation and Inversely Regulates Fas Ligand and Bcl6 Expression. The Journal of Immunology. 188(6). 2677–2686. 15 indexed citations
16.
Brenner, Sven, Florian Weisel, Andreas Brandl, et al.. (2011). A hypomorphic IgH‐chain allele affects development of B‐cell subsets and favours receptor editing. The EMBO Journal. 30(13). 2705–2718. 9 indexed citations
17.
Fisch, Tanja, Heinrich Sticht, Tina Baroti, et al.. (2011). B Cell Repertoire Analysis Identifies New Antigenic Domains on Glycoprotein B of Human Cytomegalovirus which Are Target of Neutralizing Antibodies. PLoS Pathogens. 7(8). e1002172–e1002172. 121 indexed citations
18.
Neubert, Kirsten, Silke Meister, Katrin Moser, et al.. (2008). The proteasome inhibitor bortezomib depletes plasma cells and protects mice with lupus-like disease from nephritis. Nature Medicine. 14(7). 748–755. 450 indexed citations
19.
Hoffmann, Anja, Sheena C. Kerr, Julia Jellusova, et al.. (2007). Siglec-G is a B1 cell–inhibitory receptor that controls expansion and calcium signaling of the B1 cell population. Nature Immunology. 8(7). 695–704. 160 indexed citations
20.
Winkler, Thomas, et al.. (2006). Memory B Cells Protect from CMV Infection in the Absence of T Cells.. Blood. 108(11). 619–619.

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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