Maria Bonsack

926 total citations
8 papers, 497 citations indexed

About

Maria Bonsack is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Maria Bonsack has authored 8 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 6 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in Maria Bonsack's work include Immunotherapy and Immune Responses (8 papers), vaccines and immunoinformatics approaches (6 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Maria Bonsack is often cited by papers focused on Immunotherapy and Immune Responses (8 papers), vaccines and immunoinformatics approaches (6 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Maria Bonsack collaborates with scholars based in Germany, United States and Denmark. Maria Bonsack's co-authors include Angelika B. Riemer, Jeff Hammerbacher, Timothy J. O’Donnell, Uri Laserson, Alex Rubinsteyn, Stéphanie Hoppe, Victor E. Velculescu, Ashton Omdahl, Rachel Karchin and Justin Huang and has published in prestigious journals such as The Journal of Immunology, International Journal of Molecular Sciences and Frontiers in Immunology.

In The Last Decade

Maria Bonsack

8 papers receiving 489 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maria Bonsack Germany	6	391	351	174	149	34	8	497
HuiSong Pak Switzerland	14	641 1.6×	553 1.6×	208 1.2×	333 2.2×	30 0.9×	18	831
Jennifer G. Abelin United States	12	697 1.8×	518 1.5×	214 1.2×	265 1.8×	21 0.6×	19	884
Justine Michaux Switzerland	17	665 1.7×	635 1.8×	224 1.3×	430 2.9×	47 1.4×	22	960
Cory M. Ayres United States	12	321 0.8×	510 1.5×	172 1.0×	269 1.8×	30 0.9×	19	634
Tariq Daouda Canada	8	332 0.8×	314 0.9×	76 0.4×	183 1.2×	23 0.7×	12	481
Kamalakar Gulukota United States	12	358 0.9×	200 0.6×	118 0.7×	77 0.5×	66 1.9×	22	526
Jerome Samir Australia	7	189 0.5×	264 0.8×	58 0.3×	112 0.8×	14 0.4×	10	373
Wenyi Zhao China	8	232 0.6×	188 0.5×	100 0.6×	117 0.8×	32 0.9×	21	332
Christine Bee United States	12	300 0.8×	111 0.3×	167 1.0×	123 0.8×	7 0.2×	19	485
Vani Lakshminarayanan United States	7	352 0.9×	255 0.7×	165 0.9×	76 0.5×	7 0.2×	11	475

Countries citing papers authored by Maria Bonsack

Since Specialization

Citations

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

Fields of papers citing papers by Maria Bonsack

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Bonsack

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

All Works

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8 of 8 papers shown

Liu, Yibin, Brigitte Neuber, Lei Wang, et al.. (2023). Definition and Characterization of SOX11-Derived T Cell Epitopes towards Immunotherapy of Glioma. International Journal of Molecular Sciences. 24(3). 1943–1943. 5 indexed citations

Bonsack, Maria, et al.. (2022). Effects of hypoxia on antigen presentation and T cell-based immune recognition of HPV16-transformed cells. Frontiers in Immunology. 13. 918528–918528. 3 indexed citations

Bonsack, Maria, et al.. (2020). Application of individual HLA-binding prediction thresholds increases the detection of target cell surface-presented HPV16 E6- and E7-derived epitopes as a basis for therapeutic HPV vaccine design. The Journal of Immunology. 204(1_Supplement). 169.8–169.8. 2 indexed citations

Bonsack, Maria, Stéphanie Hoppe, Jan Winter, et al.. (2019). Performance Evaluation of MHC Class-I Binding Prediction Tools Based on an Experimentally Validated MHC–Peptide Binding Data Set. Cancer Immunology Research. 7(5). 719–736. 60 indexed citations

Shao, Xiaoshan M., Rohit Bhattacharya, Justin Huang, et al.. (2019). High-Throughput Prediction of MHC Class I and II Neoantigens with MHCnuggets. Cancer Immunology Research. 8(3). 396–408. 114 indexed citations

Bonsack, Maria, et al.. (2018). PRAME peptide‐specific CD8⁺ T cells represent the predominant response against leukemia‐associated antigens in healthy individuals. European Journal of Immunology. 48(8). 1400–1411. 9 indexed citations

O’Donnell, Timothy J., Alex Rubinsteyn, Maria Bonsack, et al.. (2018). MHCflurry: Open-Source Class I MHC Binding Affinity Prediction. Cell Systems. 7(1). 129–132.e4. 273 indexed citations

Bonsack, Maria, Lasse Gaarde Falkenby, Stéphanie Hoppe, et al.. (2018). A Targeted LC‐MS Strategy for Low‐Abundant HLA Class‐I‐Presented Peptide Detection Identifies Novel Human Papillomavirus T‐Cell Epitopes. PROTEOMICS. 18(11). 31 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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