Anna Cebula

1.2k total citations
9 papers, 947 citations indexed

About

Anna Cebula is a scholar working on Immunology, Molecular Biology and Endocrinology. According to data from OpenAlex, Anna Cebula has authored 9 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 2 papers in Molecular Biology and 2 papers in Endocrinology. Recurrent topics in Anna Cebula's work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (6 papers) and Immunotherapy and Immune Responses (4 papers). Anna Cebula is often cited by papers focused on T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (6 papers) and Immunotherapy and Immune Responses (4 papers). Anna Cebula collaborates with scholars based in United States, Poland and Germany. Anna Cebula's co-authors include Leszek Ignatowicz, Grzegorz A. Rempała, Paweł Kisielow, Terri M. Laufer, Casandra Panea, Gaku Nakato, Carolyn Lee, Marta Galán-Díez, Ivaylo I. Ivanov and Yoshiyuki Goto and has published in prestigious journals such as Nature, Nature Communications and Immunity.

In The Last Decade

Anna Cebula

9 papers receiving 940 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anna Cebula United States	9	559	436	170	117	92	9	947
Gaku Nakato Japan	12	346 0.6×	451 1.0×	170 1.0×	94 0.8×	77 0.8×	20	809
Miriam B. Torchinsky United States	5	492 0.9×	328 0.8×	171 1.0×	111 0.9×	55 0.6×	5	803
Teruyuki Sano United States	8	360 0.6×	508 1.2×	158 0.9×	91 0.8×	62 0.7×	10	822
Jaeu Yi United States	12	416 0.7×	321 0.7×	110 0.6×	75 0.6×	74 0.8×	16	815
Sascha Cording France	11	787 1.4×	399 0.9×	143 0.8×	111 0.9×	103 1.1×	12	1.2k
Charles Ng United States	9	329 0.6×	395 0.9×	140 0.8×	103 0.9×	73 0.8×	11	727
Giulia Nizzoli Italy	8	432 0.8×	290 0.7×	133 0.8×	61 0.5×	142 1.5×	8	751
Michael Hiltensperger Germany	7	299 0.5×	399 0.9×	134 0.8×	110 0.9×	104 1.1×	9	858
Katherine Nutsch United States	8	1.0k 1.8×	513 1.2×	219 1.3×	158 1.4×	190 2.1×	9	1.5k
Carolina Galan United States	9	813 1.5×	605 1.4×	207 1.2×	186 1.6×	95 1.0×	13	1.4k

Countries citing papers authored by Anna Cebula

Since Specialization

Citations

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

Fields of papers citing papers by Anna Cebula

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Cebula

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

All Works

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9 of 9 papers shown

1.

Kuczma, Michal, Edyta Szurek, Anna Cebula, et al.. (2020). Commensal epitopes drive differentiation of colonic T _regs. Science Advances. 6(16). eaaz3186–eaaz3186. 51 indexed citations

2.

Kuczma, Michal, Edyta Szurek, Anna Cebula, et al.. (2020). Self and microbiota-derived epitopes induce CD4+ T cell anergy and conversion into CD4+Foxp3+ regulatory cells. Mucosal Immunology. 14(2). 443–454. 23 indexed citations

3.

Cebula, Anna, Michal Kuczma, Edyta Szurek, et al.. (2019). Dormant pathogenic CD4+ T cells are prevalent in the peripheral repertoire of healthy mice. Nature Communications. 10(1). 4882–4882. 24 indexed citations

4.

Wojciech, Łukasz, Edyta Szurek, Michal Kuczma, et al.. (2018). Non-canonicaly recruited TCRαβCD8αα IELs recognize microbial antigens. Scientific Reports. 8(1). 10848–10848. 9 indexed citations

5.

Szurek, Edyta, Anna Cebula, Łukasz Wojciech, et al.. (2015). Differences in Expression Level of Helios and Neuropilin-1 Do Not Distinguish Thymus-Derived from Extrathymically-Induced CD4+Foxp3+ Regulatory T Cells. PLoS ONE. 10(10). e0141161–e0141161. 127 indexed citations

6.

Goto, Yoshiyuki, Casandra Panea, Gaku Nakato, et al.. (2014). Segmented Filamentous Bacteria Antigens Presented by Intestinal Dendritic Cells Drive Mucosal Th17 Cell Differentiation. Immunity. 40(4). 594–607. 365 indexed citations

7.

Cebula, Anna, Michał Seweryn, Grzegorz A. Rempała, et al.. (2013). Thymus-derived regulatory T cells contribute to tolerance to commensal microbiota. Nature. 497(7448). 258–262. 305 indexed citations

8.

Cebula, Anna, et al.. (2010). Diversity of TCRs on Natural Foxp3+ T Cells in Mice Lacking Aire Expression. The Journal of Immunology. 184(12). 6865–6873. 28 indexed citations

9.

Cebrat, Małgorzata, Anna Cebula, Agnieszka Łaszkiewicz, et al.. (2008). Mechanism of lymphocyte-specific inactivation of RAG-2 intragenic promoter of NWC: Implications for epigenetic control of RAG locus. Molecular Immunology. 45(8). 2297–2306. 15 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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