Anna Bulek

1.3k total citations
17 papers, 652 citations indexed

About

Anna Bulek is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Anna Bulek has authored 17 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 8 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Molecular Biology. Recurrent topics in Anna Bulek's work include Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (9 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). Anna Bulek is often cited by papers focused on Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (9 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). Anna Bulek collaborates with scholars based in United Kingdom, Australia and United States. Anna Bulek's co-authors include David K. Cole, Andrew K. Sewell, P.J. Rizkallah, Anna Fuller, Andrea J. Schauenburg, Garry Dolton, Florian Madura, Linda Wooldridge, John J. Miles and Christopher Holland and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Anna Bulek

17 papers receiving 637 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Bulek United Kingdom 14 527 216 168 128 90 17 652
Andrew Trimby United Kingdom 9 251 0.5× 99 0.5× 165 1.0× 51 0.4× 60 0.7× 9 391
Teis Jensen Denmark 13 324 0.6× 71 0.3× 174 1.0× 54 0.4× 43 0.5× 18 510
Robert F. Dick United States 12 666 1.3× 81 0.4× 135 0.8× 130 1.0× 50 0.6× 14 791
Valeria Judkowski United States 13 386 0.7× 70 0.3× 107 0.6× 84 0.7× 237 2.6× 17 548
H von Boehmer Switzerland 11 644 1.2× 108 0.5× 172 1.0× 177 1.4× 48 0.5× 15 811
Dianne H. Wilson United States 8 458 0.9× 73 0.3× 101 0.6× 94 0.7× 62 0.7× 11 540
Fiorenza Falcioni United States 11 393 0.7× 56 0.3× 154 0.9× 143 1.1× 59 0.7× 18 584
Rochelle Ayala Australia 8 167 0.3× 128 0.6× 249 1.5× 57 0.4× 30 0.3× 13 328
Christine Bryson United Kingdom 6 288 0.5× 97 0.4× 363 2.2× 341 2.7× 27 0.3× 7 621
Hernando Escobar United States 10 261 0.5× 123 0.6× 260 1.5× 23 0.2× 41 0.5× 13 446

Countries citing papers authored by Anna Bulek

Since Specialization
Citations

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

Fields of papers citing papers by Anna Bulek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Bulek

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

All Works

17 of 17 papers shown
1.
Hotblack, Alastair, Reyisa Bughda, Anna Bulek, et al.. (2024). Designer Small-Molecule Control System Based on Minocycline-Induced Disruption of Protein–Protein Interaction. ACS Chemical Biology. 19(2). 308–324. 4 indexed citations
2.
Bulek, Anna, Mathew Robson, Evangelia Kokalaki, et al.. (2023). Exploration of T cell immune responses by expression of a dominant-negative SHP1 and SHP2. Frontiers in Immunology. 14. 1119350–1119350. 3 indexed citations
3.
Madura, Florian, P.J. Rizkallah, Mateusz Legut, et al.. (2019). TCR‐induced alteration of primary MHC peptide anchor residue. European Journal of Immunology. 49(7). 1052–1066. 17 indexed citations
4.
Holland, Christopher, Bruce J. MacLachlan, Valentina Bianchi, et al.. (2018). In Silico and Structural Analyses Demonstrate That Intrinsic Protein Motions Guide T Cell Receptor Complementarity Determining Region Loop Flexibility. Frontiers in Immunology. 9. 674–674. 21 indexed citations
5.
Onuoha, Shimobi, Mathieu Ferrari, Anna Bulek, et al.. (2018). Structure Guided Engineering of Highly Specific Chimeric Antigen Receptors for the Treatment of T Cell Lymphomas. Blood. 132(Supplement 1). 1661–1661. 8 indexed citations
6.
Cole, David K., Anna Fuller, Garry Dolton, et al.. (2017). Dual Molecular Mechanisms Govern Escape at Immunodominant HLA A2-Restricted HIV Epitope. Frontiers in Immunology. 8. 1503–1503. 20 indexed citations
7.
Zoete, Vincent, Garry Dolton, Anna Bulek, et al.. (2017). T cell receptor alpha variable 12‐2 bias in the immunodominant response to Yellow fever virus. European Journal of Immunology. 48(2). 258–272. 22 indexed citations
8.
Bianchi, Valentina, Anna Bulek, Anna Fuller, et al.. (2016). A Molecular Switch Abrogates Glycoprotein 100 (gp100) T-cell Receptor (TCR) Targeting of a Human Melanoma Antigen. Journal of Biological Chemistry. 291(17). 8951–8959. 24 indexed citations
9.
Cole, David K., Hugo A. van den Berg, Angharad Lloyd, et al.. (2016). Structural Mechanism Underpinning Cross-reactivity of a CD8+ T-cell Clone That Recognizes a Peptide Derived from Human Telomerase Reverse Transcriptase. Journal of Biological Chemistry. 292(3). 802–813. 19 indexed citations
10.
Cole, David K., Anna Bulek, Garry Dolton, et al.. (2016). Hotspot autoimmune T cell receptor binding underlies pathogen and insulin peptide cross-reactivity. Journal of Clinical Investigation. 126(6). 2191–2204. 113 indexed citations
11.
Štěpánek, Ondřej, Carolyn G. King, Anna Bulek, et al.. (2014). Coreceptor Scanning by the T Cell Receptor Provides a Mechanism for T Cell Tolerance. Cell. 159(2). 333–345. 118 indexed citations
12.
Madura, Florian, P.J. Rizkallah, Christopher Holland, et al.. (2014). Structural basis for ineffective T‐cell responses to MHC anchor residue‐improved “heteroclitic” peptides. European Journal of Immunology. 45(2). 584–591. 55 indexed citations
13.
Madura, Florian, P.J. Rizkallah, Kim Miles, et al.. (2013). T-cell Receptor Specificity Maintained by Altered Thermodynamics. Journal of Biological Chemistry. 288(26). 18766–18775. 32 indexed citations
14.
Cole, David K., Kim Miles, Florian Madura, et al.. (2013). T-cell Receptor (TCR)-Peptide Specificity Overrides Affinity-enhancing TCR-Major Histocompatibility Complex Interactions. Journal of Biological Chemistry. 289(2). 628–638. 52 indexed citations
15.
Bulek, Anna, Florian Madura, Anna Fuller, et al.. (2012). TCR/pMHC Optimized Protein crystallization Screen. Journal of Immunological Methods. 382(1-2). 203–210. 25 indexed citations
16.
Kronenberg‐Versteeg, Deborah, Min Zhao, Guo Huang, et al.. (2012). Human β-Cell Killing by Autoreactive Preproinsulin-Specific CD8 T Cells Is Predominantly Granule-Mediated With the Potency Dependent Upon T-Cell Receptor Avidity. Diabetes. 62(1). 205–213. 48 indexed citations
17.
Miles, John J., Anna Bulek, David K. Cole, et al.. (2010). Genetic and Structural Basis for Selection of a Ubiquitous T Cell Receptor Deployed in Epstein-Barr Virus Infection. PLoS Pathogens. 6(11). e1001198–e1001198. 71 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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