Lina Petersone

502 total citations
9 papers, 332 citations indexed

About

Lina Petersone is a scholar working on Immunology, Oncology and Genetics. According to data from OpenAlex, Lina Petersone has authored 9 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 2 papers in Oncology and 2 papers in Genetics. Recurrent topics in Lina Petersone's work include T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (7 papers) and Immunotherapy and Immune Responses (3 papers). Lina Petersone is often cited by papers focused on T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (7 papers) and Immunotherapy and Immune Responses (3 papers). Lina Petersone collaborates with scholars based in United Kingdom, Canada and Sweden. Lina Petersone's co-authors include Lucy S. K. Walker, Natalie M. Edner, Elisavet Ntavli, Vitalijs Ovcinnikovs, Frank Heuts, Ellen M. Ross, Chun Jing Wang, Alexandros Kogimtzis, Alan Kennedy and David M. Sansom and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and Nature Immunology.

In The Last Decade

Lina Petersone

9 papers receiving 328 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lina Petersone United Kingdom	7	224	80	72	51	41	9	332
Elisavet Ntavli United Kingdom	5	203 0.9×	74 0.9×	59 0.8×	42 0.8×	41 1.0×	6	301
Khalid Bin Dhuban Canada	7	291 1.3×	40 0.5×	81 1.1×	45 0.9×	38 0.9×	8	376
Meghavi Mashar United Kingdom	7	154 0.7×	51 0.6×	99 1.4×	27 0.5×	60 1.5×	11	277
Ruihua Peng United States	11	287 1.3×	75 0.9×	105 1.5×	47 0.9×	53 1.3×	16	399
Pearl Bakhru United States	8	186 0.8×	47 0.6×	31 0.4×	62 1.2×	21 0.5×	11	329
S Bregenholt Denmark	12	220 1.0×	41 0.5×	93 1.3×	73 1.4×	68 1.7×	17	368
Inga Kavazović Croatia	9	209 0.9×	92 1.1×	72 1.0×	58 1.1×	27 0.7×	14	401
Marfa Blanter Belgium	8	136 0.6×	25 0.3×	57 0.8×	67 1.3×	27 0.7×	12	280
W-D Döcke Germany	4	189 0.8×	65 0.8×	74 1.0×	35 0.7×	16 0.4×	5	339
Wissam Dahoud United States	6	188 0.8×	40 0.5×	71 1.0×	42 0.8×	15 0.4×	14	418

Countries citing papers authored by Lina Petersone

Since Specialization

Citations

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

Fields of papers citing papers by Lina Petersone

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lina Petersone

This figure shows the co-authorship network connecting the top 25 collaborators of Lina Petersone. A scholar is included among the top collaborators of Lina Petersone 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 Lina Petersone. Lina Petersone 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.

Petersone, Lina & Lucy S. K. Walker. (2024). T-cell help in the germinal center: homing in on the role of IL-21. International Immunology. 36(3). 89–98. 7 indexed citations

2.

Edner, Natalie M., Elisavet Ntavli, Lina Petersone, et al.. (2023). Stratification of PD-1 blockade response in melanoma using pre- and post-treatment immunophenotyping of peripheral blood. PubMed. 3(1). ltad001–ltad001. 4 indexed citations

3.

Petersone, Lina, Chun Jing Wang, Natalie M. Edner, et al.. (2023). IL-21 shapes germinal center polarization via light zone B cell selection and cyclin D3 upregulation. The Journal of Experimental Medicine. 220(10). 17 indexed citations

4.

Fox, Thomas A., Lina Petersone, Erin Waters, et al.. (2022). Therapeutic gene editing of T cells to correct CTLA-4 insufficiency. Science Translational Medicine. 14(668). eabn5811–eabn5811. 21 indexed citations

5.

Wang, Chun Jing, Lina Petersone, Natalie M. Edner, et al.. (2022). Costimulation blockade in combination with IL-2 permits regulatory T cell sparing immunomodulation that inhibits autoimmunity. Nature Communications. 13(1). 6757–6757. 16 indexed citations

6.

Edner, Natalie M., Frank Heuts, Niclas Thomas, et al.. (2020). Follicular helper T cell profiles predict response to costimulation blockade in type 1 diabetes. Nature Immunology. 21(10). 1244–1255. 66 indexed citations

7.

Edner, Natalie M., Chun Jing Wang, Lina Petersone, & Lucy S. K. Walker. (2020). Predicting clinical response to costimulation blockade in autoimmunity. PubMed. 1(1). ltaa003–ltaa003. 3 indexed citations

8.

Ovcinnikovs, Vitalijs, Ellen M. Ross, Lina Petersone, et al.. (2019). CTLA-4–mediated transendocytosis of costimulatory molecules primarily targets migratory dendritic cells. Science Immunology. 4(35). 104 indexed citations

9.

Petersone, Lina, Natalie M. Edner, Vitalijs Ovcinnikovs, et al.. (2018). T Cell/B Cell Collaboration and Autoimmunity: An Intimate Relationship. Frontiers in Immunology. 9. 1941–1941. 94 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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