Alison Tarke

4.8k total citations · 2 hit papers
17 papers, 1.0k citations indexed

About

Alison Tarke is a scholar working on Infectious Diseases, Immunology and Molecular Biology. According to data from OpenAlex, Alison Tarke has authored 17 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 9 papers in Immunology and 5 papers in Molecular Biology. Recurrent topics in Alison Tarke's work include SARS-CoV-2 and COVID-19 Research (9 papers), Immunotherapy and Immune Responses (5 papers) and COVID-19 Clinical Research Studies (5 papers). Alison Tarke is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (9 papers), Immunotherapy and Immune Responses (5 papers) and COVID-19 Clinical Research Studies (5 papers). Alison Tarke collaborates with scholars based in United States, Italy and Australia. Alison Tarke's co-authors include Alessandro Sette, Alba Grifoni, Jennifer M. Dan, Daniela Weiskopf, Nathaniel I. Bloom, Benjamin Goodwin, Shane Crotty, Camila H. Coelho, Zeli Zhang and Gilberto Filaci and has published in prestigious journals such as Cell, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Alison Tarke

17 papers receiving 1.0k citations

Hit Papers

SARS-CoV-2 vaccination induces immunological T cell memor... 2022 2026 2023 2024 2022 2022 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alison Tarke United States 9 813 320 320 118 116 17 1.0k
Nathaniel I. Bloom United States 6 732 0.9× 254 0.8× 271 0.8× 90 0.8× 99 0.9× 6 895
Wen Shi Lee Australia 15 807 1.0× 223 0.7× 459 1.4× 120 1.0× 120 1.0× 39 1.2k
Katharina S. Schmitz Netherlands 8 714 0.9× 272 0.8× 203 0.6× 201 1.7× 206 1.8× 21 1.0k
Yu E. Lee United States 6 1.0k 1.2× 407 1.3× 206 0.6× 86 0.7× 49 0.4× 9 1.2k
Melissa Cipolla United States 10 446 0.5× 150 0.5× 419 1.3× 84 0.7× 44 0.4× 13 853
Sebastian Ols Sweden 12 374 0.5× 366 1.1× 399 1.2× 130 1.1× 27 0.2× 20 867
Robyn Esterbauer Australia 10 441 0.5× 153 0.5× 308 1.0× 168 1.4× 71 0.6× 18 736
Angelique Hœlzemer Germany 6 620 0.8× 151 0.5× 144 0.5× 43 0.4× 53 0.5× 7 734
Massimiliano Secchi Italy 13 367 0.5× 116 0.4× 94 0.3× 185 1.6× 56 0.5× 20 684
Víctor Ramos United States 12 453 0.6× 122 0.4× 316 1.0× 106 0.9× 32 0.3× 21 805

Countries citing papers authored by Alison Tarke

Since Specialization
Citations

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

Fields of papers citing papers by Alison Tarke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alison Tarke

This figure shows the co-authorship network connecting the top 25 collaborators of Alison Tarke. A scholar is included among the top collaborators of Alison Tarke 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 Alison Tarke. Alison Tarke 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.
Tarke, Alison, Yeji Lee, Benjamin Goodwin, et al.. (2024). SARS-CoV-2 breakthrough infections enhance T cell response magnitude, breadth, and epitope repertoire. Cell Reports Medicine. 5(6). 101583–101583. 9 indexed citations
3.
Bloom, Nathaniel I., Gianna Y. Cai, Jordan J. Clark, et al.. (2023). Mpox vaccine and infection-driven human immune signatures: an immunological analysis of an observational study. The Lancet Infectious Diseases. 23(11). 1302–1312. 56 indexed citations
4.
Tarke, Alison, Yun Zhang, Nils Methot, et al.. (2023). Targets and cross-reactivity of human T cell recognition of common cold coronaviruses. Cell Reports Medicine. 4(6). 101088–101088. 22 indexed citations
5.
Tarke, Alison, Alba Grifoni, & Alessandro Sette. (2022). Bioinformatic and Experimental Analysis of T Cell Immune Reactivity to SARS-CoV-2 and its Variants. SHILAP Revista de lepidopterología. 2. 876380–876380. 9 indexed citations
6.
Yu, Esther Dawen, Eric Wang, Benjamin Goodwin, et al.. (2022). Development of a T cell-based immunodiagnostic system to effectively distinguish SARS-CoV-2 infection and COVID-19 vaccination status. Cell Host & Microbe. 30(3). 388–399.e3. 28 indexed citations
7.
Tarke, Alison, Camila H. Coelho, Zeli Zhang, et al.. (2022). SARS-CoV-2 vaccination induces immunological T cell memory able to cross-recognize variants from Alpha to Omicron. Cell. 185(5). 847–859.e11. 484 indexed citations breakdown →
8.
Grifoni, Alba, Yun Zhang, Alison Tarke, et al.. (2022). Defining antigen targets to dissect vaccinia virus and monkeypox virus-specific T cell responses in humans. Cell Host & Microbe. 30(12). 1662–1670.e4. 37 indexed citations
9.
Tarke, Alison, et al.. (2022). Tumor-specific T cell-mediated upregulation of PD-L1 in myelodysplastic syndrome cells does not affect T-cell killing. Frontiers in Oncology. 12. 915629–915629. 3 indexed citations
10.
Zhang, Zeli, José Mateus, Camila H. Coelho, et al.. (2022). Humoral and cellular immune memory to four COVID-19 vaccines. Cell. 185(14). 2434–2451.e17. 331 indexed citations breakdown →
11.
Tarke, Alison, Marina Potestà, Stefania Varchetta, et al.. (2022). Early and Polyantigenic CD4 T Cell Responses Correlate with Mild Disease in Acute COVID-19 Donors. International Journal of Molecular Sciences. 23(13). 7155–7155. 36 indexed citations
12.
Grifoni, Alba, et al.. (2021). PopCover-2.0. Improved Selection of Peptide Sets With Optimal HLA and Pathogen Diversity Coverage. Frontiers in Immunology. 12. 728936–728936. 8 indexed citations
13.
Tarke, Alison, Luca Ferrari, Franco Ferrari, et al.. (2020). In vitro induction of neoantigen-specific T cells in myelodysplastic syndrome, a disease with low mutational burden. Cytotherapy. 23(4). 320–328. 8 indexed citations
14.
Tanaka, Tiffany, Alison Tarke, Luca Ferrari, et al.. (2020). Adoptive transfer of neoantigen-specific T-cell therapy is feasible in older patients with higher-risk myelodysplastic syndrome. Cytotherapy. 23(3). 236–241. 7 indexed citations
15.
Tarke, Alison, Ruifeng Chen, Xinlian Zhang, et al.. (2020). Phenotypic and Proliferative Analysis of T Cell and Monocyte Populations in Patients with Intermediate/High/Very High-Risk MDS Compared to Age-Matched Healthy Donors. Blood. 136(Supplement 1). 25–26. 1 indexed citations
16.
Tarke, Alison, Luca Ferrari, Franco Ferrari, et al.. (2019). T Cell Activation By OKT3 Is a Function of the Percent Monocytes in PBMC of Healthy Donors and MDS Patients. Blood. 134(Supplement_1). 4870–4870. 1 indexed citations
17.
Ferrari, Valentina, Tiffany Tanaka, Alison Tarke, et al.. (2018). A Phase 1 Clinical Trial of Personalized Adoptive Cellular Therapy Targeting Myelodysplastic Syndrome (MDS) Stem Cell Neoantigens (PACTN). Blood. 132(Supplement 1). 4373–4373. 1 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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