Jane Seagal

1.7k total citations
20 papers, 995 citations indexed

About

Jane Seagal is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Jane Seagal has authored 20 papers receiving a total of 995 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 5 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Jane Seagal's work include T-cell and B-cell Immunology (13 papers), Immune Cell Function and Interaction (12 papers) and Immunotherapy and Immune Responses (7 papers). Jane Seagal is often cited by papers focused on T-cell and B-cell Immunology (13 papers), Immune Cell Function and Interaction (12 papers) and Immunotherapy and Immune Responses (7 papers). Jane Seagal collaborates with scholars based in United States, Israel and Germany. Jane Seagal's co-authors include Klaus Rajewsky, Stefano Casola, Zhenyue Hao, Ari Waisman, Doron Melamed, Yoshiteru Sasaki, Baochun Zhang, Giorgio Cattoretti, Sergei B. Koralov and Angela Egert and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

In The Last Decade

Jane Seagal

20 papers receiving 991 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jane Seagal United States 12 644 249 236 159 94 20 995
Gijs Hardenberg Netherlands 13 841 1.3× 263 1.1× 179 0.8× 59 0.4× 120 1.3× 18 1.2k
Caroline Bret France 13 316 0.5× 455 1.8× 162 0.7× 102 0.6× 81 0.9× 34 915
Chuen-Miin Leu Taiwan 11 459 0.7× 251 1.0× 150 0.6× 50 0.3× 138 1.5× 13 798
Ingrid A. M. Derks Netherlands 14 662 1.0× 352 1.4× 243 1.0× 123 0.8× 80 0.9× 23 1.1k
Julia Jellusova Germany 18 973 1.5× 615 2.5× 168 0.7× 101 0.6× 133 1.4× 28 1.5k
Claudya Tenca Italy 19 567 0.9× 256 1.0× 180 0.8× 101 0.6× 41 0.4× 31 926
Ingela B. Vikstrom Australia 12 638 1.0× 458 1.8× 231 1.0× 65 0.4× 54 0.6× 16 1.1k
Jack T. Lin United States 15 842 1.3× 348 1.4× 557 2.4× 55 0.3× 74 0.8× 22 1.3k
Esther P.M. Tjin Netherlands 19 461 0.7× 497 2.0× 284 1.2× 99 0.6× 52 0.6× 33 1.2k
Asahi Ito Japan 20 556 0.9× 543 2.2× 382 1.6× 170 1.1× 49 0.5× 68 1.4k

Countries citing papers authored by Jane Seagal

Since Specialization
Citations

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

Fields of papers citing papers by Jane Seagal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jane Seagal

This figure shows the co-authorship network connecting the top 25 collaborators of Jane Seagal. A scholar is included among the top collaborators of Jane Seagal 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 Jane Seagal. Jane Seagal 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.
Ng, Teresa I., Ivan Correia, Jane Seagal, et al.. (2022). Antiviral Drug Discovery for the Treatment of COVID-19 Infections. Viruses. 14(5). 961–961. 63 indexed citations
2.
Graf, Robin, Jane Seagal, Kevin L. Otipoby, et al.. (2019). BCR-dependent lineage plasticity in mature B cells. Science. 363(6428). 748–753. 65 indexed citations
3.
Perper, Stuart J., Susan V. Westmoreland, József Kármán, et al.. (2019). Treatment with a CD40 Antagonist Antibody Reverses Severe Proteinuria and Loss of Saliva Production and Restores Glomerular Morphology in Murine Systemic Lupus Erythematosus. The Journal of Immunology. 203(1). 58–75. 30 indexed citations
4.
Weber, Timm, et al.. (2018). A novel allele for inducible Cre expression in germinal center B cells. European Journal of Immunology. 49(1). 192–194. 5 indexed citations
5.
Perper, Stuart J., Susan V. Westmoreland, Manuel Duval, et al.. (2017). THU0222 Prophylactic and therapeutic administration of an ANTI-CD40 antagonist antibody blocks and reverses proteinuria and nephritis in NZB/W-F1 mice. Annals of the Rheumatic Diseases. 76. 288–288. 1 indexed citations
6.
Patterson, Heide Christine, Manfred Kraus, Donghai Wang, et al.. (2011). Cytoplasmic Igα Serine/Threonines Fine-Tune Igα Tyrosine Phosphorylation and Limit Bone Marrow Plasma Cell Formation. The Journal of Immunology. 187(6). 2853–2858. 9 indexed citations
7.
Calado, Dinis Pedro, Baochun Zhang, Lakshmi Srinivasan, et al.. (2010). Constitutive Canonical NF-κB Activation Cooperates with Disruption of BLIMP1 in the Pathogenesis of Activated B Cell-like Diffuse Large Cell Lymphoma. Cancer Cell. 18(6). 580–589. 142 indexed citations
8.
Izhak, Liat, Gizi Wildbaum, Yaniv Zohar, et al.. (2009). A Novel Recombinant Fusion Protein Encoding a 20-Amino Acid Residue of the Third Extracellular (E3) Domain of CCR2 Neutralizes the Biological Activity of CCL2. The Journal of Immunology. 183(1). 732–739. 24 indexed citations
9.
Hao, Zhenyue, Gordon S. Duncan, Jane Seagal, et al.. (2008). Fas Receptor Expression in Germinal-Center B Cells Is Essential for T and B Lymphocyte Homeostasis. Immunity. 29(4). 615–627. 154 indexed citations
10.
Cornelia, Hömig-Hölzel, et al.. (2007). LMP1 signaling can replace CD40 signaling in B cells in vivo and has unique features of inducing class-switch recombination to IgG1. Blood. 111(3). 1448–1455. 93 indexed citations
11.
Waisman, Ari, Manfred Kraus, Jane Seagal, et al.. (2007). IgG1 B cell receptor signaling is inhibited by CD22 and promotes the development of B cells whose survival is less dependent on Igα/β. The Journal of Experimental Medicine. 204(4). 747–758. 105 indexed citations
12.
Casola, Stefano, Giorgio Cattoretti, Nathalie Uyttersprot, et al.. (2006). Tracking germinal center B cells expressing germ-line immunoglobulin γ1 transcripts by conditional gene targeting. Proceedings of the National Academy of Sciences. 103(19). 7396–7401. 169 indexed citations
13.
14.
Seagal, Jane. (2004). Generation and selection of an IgG-driven autoimmune repertoire during B-lymphopoiesis in Ig -deficient/lpr mice. International Immunology. 16(7). 905–913. 8 indexed citations
15.
Seagal, Jane. (2003). Increased plasma cell frequency and accumulation of abnormal syndecan-1plus T-cells in Ig -deficient/lpr mice. International Immunology. 15(9). 1045–1052. 14 indexed citations
16.
Seagal, Jane & Doron Melamed. (2003). Selection events in directing B cell development.. PubMed. 18(2). 519–27. 3 indexed citations
17.
Seagal, Jane, Efrat Edry, Keren Zohar, et al.. (2003). A Fail-safe Mechanism for Negative Selection of Isotype-switched B Cell Precursors Is Regulated by the Fas/FasL Pathway. The Journal of Experimental Medicine. 198(10). 1609–1619. 37 indexed citations
18.
Seagal, Jane & Doron Melamed. (2002). Role of Receptor Revision in Forming a B Cell Repertoire. Clinical Immunology. 105(1). 1–8. 11 indexed citations
19.
Seagal, Jane, et al.. (2001). Use of Human CD4 Transgenic Mice for Studying Immunogenicity of HIV-1 Envelope Protein gp120. Transgenic Research. 10(2). 113–120. 3 indexed citations
20.
Seagal, Jane, et al.. (2001). Vascular Endothelial Growth Factor and Angiopoietin in Liver Regeneration. Biochemical and Biophysical Research Communications. 287(1). 209–215. 53 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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