Anna Pasetto

5.9k total citations · 3 hit papers
43 papers, 4.0k citations indexed

About

Anna Pasetto is a scholar working on Oncology, Immunology and Epidemiology. According to data from OpenAlex, Anna Pasetto has authored 43 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Oncology, 29 papers in Immunology and 7 papers in Epidemiology. Recurrent topics in Anna Pasetto's work include CAR-T cell therapy research (34 papers), Cancer Immunotherapy and Biomarkers (17 papers) and Immunotherapy and Immune Responses (17 papers). Anna Pasetto is often cited by papers focused on CAR-T cell therapy research (34 papers), Cancer Immunotherapy and Biomarkers (17 papers) and Immunotherapy and Immune Responses (17 papers). Anna Pasetto collaborates with scholars based in United States, Sweden and Germany. Anna Pasetto's co-authors include Steven A. Rosenberg, Paul F. Robbins, Todd D. Prickett, Jared J. Gartner, Lee Jia, Eric Tran, Yong‐Chen Lu, Maria R. Parkhurst, Zhili Zheng and Satyajit Ray and has published in prestigious journals such as Science, New England Journal of Medicine and Journal of Clinical Investigation.

In The Last Decade

Anna Pasetto

41 papers receiving 4.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

T-Cell Transfer Therapy Targeting Mutant KRAS in Cancer

2016 950 citations Eric Tran, Paul F. Robbins et al. profile →
Prospective identification of neoantigen-specific lymphocytes in the peripheral blood of melanoma patients

2016 597 citations Alena Gros, Maria R. Parkhurst et al. profile →
Immune recognition of somatic mutations leading to complete durable regression in metastatic breast cancer

2018 544 citations Yong‐Chen Lu, Anna Pasetto et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anna Pasetto United States	21	3.3k	2.7k	957	397	357	43	4.0k
Marka R. Crittenden United States	37	2.8k 0.8×	2.4k 0.9×	719 0.8×	212 0.5×	323 0.9×	106	4.0k
Alena Gros Spain	28	4.3k 1.3×	3.6k 1.3×	1.5k 1.6×	939 2.4×	378 1.1×	54	5.6k
Pia Kvistborg Netherlands	22	2.2k 0.7×	2.1k 0.8×	926 1.0×	156 0.4×	192 0.5×	50	3.1k
Eric R. Lutz United States	15	2.6k 0.8×	2.3k 0.8×	673 0.7×	159 0.4×	177 0.5×	37	3.5k
Yong F. Li United States	27	4.7k 1.4×	4.3k 1.6×	1.4k 1.5×	835 2.1×	419 1.2×	43	5.9k
Wenru Song United States	21	2.1k 0.6×	2.1k 0.8×	1.2k 1.2×	643 1.6×	166 0.5×	33	3.8k
Christopher R. Heery United States	32	2.5k 0.8×	1.7k 0.6×	876 0.9×	250 0.6×	292 0.8×	112	3.8k
Jasreet Hundal United States	13	2.0k 0.6×	2.1k 0.8×	1.3k 1.4×	130 0.3×	356 1.0×	21	3.1k
Todd D. Armstrong United States	29	2.0k 0.6×	2.3k 0.8×	843 0.9×	136 0.3×	149 0.4×	54	3.3k
Bianca Heemskerk Netherlands	21	2.7k 0.8×	2.7k 1.0×	681 0.7×	713 1.8×	165 0.5×	30	4.1k

Countries citing papers authored by Anna Pasetto

Since Specialization

Citations

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

Fields of papers citing papers by Anna Pasetto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Pasetto

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Cai, Curtis, Daniela Nascimento Silva, Ola B. Nilsson, et al.. (2025). Unlocking novel T cell-based immunotherapy for hepatocellular carcinoma through neoantigen-driven T cell receptor isolation. Gut. 74(7). 1125–1136.

Souza, Patricia Borges de, Oriana Nanni, Vittorio Sambri, et al.. (2025). Exploring the Relationship Between Humoral and Cellular T Cell Responses Against SARS‐CoV‐2 in Exposed Individuals From Emilia Romagna Region and COVID‐19 Severity. HLA. 105(1). e70011–e70011.

Nicolini, Fabio, Roberta Maltoni, Matteo Marchesini, et al.. (2024). Significant Advancements and Evolutions in Chimeric Antigen Receptor Design. International Journal of Molecular Sciences. 25(22). 12201–12201. 4 indexed citations

Bravaccini, Sara, Roberta Maltoni, Claudio Cerchione, et al.. (2022). T-Cell Receptor Repertoire Sequencing and Its Applications: Focus on Infectious Diseases and Cancer. International Journal of Molecular Sciences. 23(15). 8590–8590. 22 indexed citations

Ahlén, Gustaf, Sandra Ciesek, Anna Pasetto, et al.. (2022). Novel prime-boost immune-based therapy inhibiting both hepatitis B and D virus infections. Gut. 72(6). 1186–1195. 7 indexed citations

Silva, Daniela Nascimento, Michael Chrobok, Giulia Rovesti, et al.. (2022). Process Development for Adoptive Cell Therapy in Academia: A Pipeline for Clinical-Scale Manufacturing of Multiple TCR-T Cell Products. Frontiers in Immunology. 13. 896242–896242. 10 indexed citations

Silva, Daniela Nascimento, Michael Chrobok, Gustaf Ahlén, et al.. (2022). ATMP development and pre-GMP environment in academia: a safety net for early cell and gene therapy development and manufacturing. Immuno-Oncology Technology. 16. 100099–100099. 22 indexed citations

Pasetto, Anna & Yong‐Chen Lu. (2021). Single-Cell TCR and Transcriptome Analysis: An Indispensable Tool for Studying T-Cell Biology and Cancer Immunotherapy. Frontiers in Immunology. 12. 689091–689091. 19 indexed citations

Sällberg, Matti & Anna Pasetto. (2020). Liver, Tumor and Viral Hepatitis: Key Players in the Complex Balance Between Tolerance and Immune Activation. Frontiers in Immunology. 11. 552–552. 13 indexed citations

10.

Paria, Biman C., Noam Levin, Frank J. Lowery, et al.. (2020). Rapid Identification and Evaluation of Neoantigen-reactive T-Cell Receptors From Single Cells. Journal of Immunotherapy. 44(1). 1–8. 21 indexed citations

11.

Lo, Winifred, Maria R. Parkhurst, Paul F. Robbins, et al.. (2019). Immunologic Recognition of a Shared p53 Mutated Neoantigen in a Patient with Metastatic Colorectal Cancer. Cancer Immunology Research. 7(4). 534–543. 105 indexed citations

12.

Malekzadeh, Parisa, Anna Pasetto, Paul F. Robbins, et al.. (2019). Neoantigen screening identifies broad TP53 mutant immunogenicity in patients with epithelial cancers. Journal of Clinical Investigation. 129(3). 1109–1114. 197 indexed citations

13.

Gros, Alena, Eric Tran, Maria R. Parkhurst, et al.. (2019). Recognition of human gastrointestinal cancer neoantigens by circulating PD-1+ lymphocytes. Journal of Clinical Investigation. 129(11). 4992–5004. 105 indexed citations

14.

Deniger, Drew C., Anna Pasetto, Paul F. Robbins, et al.. (2018). T-cell Responses to TP53 “Hotspot” Mutations and Unique Neoantigens Expressed by Human Ovarian Cancers. Clinical Cancer Research. 24(22). 5562–5573. 110 indexed citations

15.

Stevanović, Sanja, Anna Pasetto, Sarah R. Helman, et al.. (2017). Landscape of immunogenic tumor antigens in successful immunotherapy of virally induced epithelial cancer. Science. 356(6334). 200–205. 279 indexed citations

16.

Pasetto, Anna, Alena Gros, Paul F. Robbins, et al.. (2016). Tumor- and Neoantigen-Reactive T-cell Receptors Can Be Identified Based on Their Frequency in Fresh Tumor. Cancer Immunology Research. 4(9). 734–743. 148 indexed citations

17.

Parkhurst, Maria R., Alena Gros, Anna Pasetto, et al.. (2016). Isolation of T-Cell Receptors Specifically Reactive with Mutated Tumor-Associated Antigens from Tumor-Infiltrating Lymphocytes Based on CD137 Expression. Clinical Cancer Research. 23(10). 2491–2505. 136 indexed citations

18.

Prickett, Todd D., Jessica S. Crystal, Cyrille J. Cohen, et al.. (2016). Durable Complete Response from Metastatic Melanoma after Transfer of Autologous T Cells Recognizing 10 Mutated Tumor Antigens. Cancer Immunology Research. 4(8). 669–678. 88 indexed citations

19.

Knudsen, Maria L., Daniel X. Johansson, Eva Nordström, et al.. (2013). The Adjuvant Activity of Alphavirus Replicons Is Enhanced by Incorporating the Microbial Molecule Flagellin into the Replicon. PLoS ONE. 8(6). e65964–e65964. 11 indexed citations

20.

Pasetto, Anna, Soo Aleman, & Margaret Chen. (2013). Functional Attributes of Responding T Cells in HCV Infection: The Recent Advances in Engineering Functional Antiviral T Cells. Archivum Immunologiae et Therapiae Experimentalis. 62(1). 23–30. 3 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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