Annie Borch

585 total citations
9 papers, 243 citations indexed

About

Annie Borch is a scholar working on Oncology, Immunology and Genetics. According to data from OpenAlex, Annie Borch has authored 9 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 4 papers in Immunology and 2 papers in Genetics. Recurrent topics in Annie Borch's work include Cancer Immunotherapy and Biomarkers (5 papers), CAR-T cell therapy research (4 papers) and Immunotherapy and Immune Responses (3 papers). Annie Borch is often cited by papers focused on Cancer Immunotherapy and Biomarkers (5 papers), CAR-T cell therapy research (4 papers) and Immunotherapy and Immune Responses (3 papers). Annie Borch collaborates with scholars based in Denmark, United Kingdom and Argentina. Annie Borch's co-authors include Sine Reker Hadrup, Paolo Marcatili, A. Florescu, Troels Mørk Hansen, Jan Pødenphant, Michael Stoltenberg, S. F. Sørensen, M. Hansen, Inge Marie Svane and Arianna Draghi and has published in prestigious journals such as Frontiers in Immunology, Annals of the Rheumatic Diseases and Neuro-Oncology.

In The Last Decade

Annie Borch

7 papers receiving 235 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Annie Borch Denmark	6	113	104	86	65	43	9	243
Elena Agape Italy	6	102 0.9×	85 0.8×	59 0.7×	72 1.1×	16 0.4×	12	236
Xiaoni Gao United States	8	163 1.4×	44 0.4×	97 1.1×	59 0.9×	73 1.7×	12	272
Nairouz Elgeioushi United States	7	112 1.0×	112 1.1×	45 0.5×	55 0.8×	53 1.2×	14	226
Katy A. Lloyd United States	8	178 1.6×	71 0.7×	84 1.0×	46 0.7×	92 2.1×	11	266
Nihal Kenawy United Kingdom	8	70 0.6×	144 1.4×	44 0.5×	44 0.7×	73 1.7×	14	336
Kevin Schifferli United States	7	85 0.8×	78 0.8×	74 0.9×	87 1.3×	69 1.6×	12	217
Annika Wiedemann Germany	9	193 1.7×	44 0.4×	37 0.4×	108 1.7×	28 0.7×	19	252
X. Frank Zhao United States	7	64 0.6×	79 0.8×	76 0.9×	41 0.6×	5 0.1×	11	225
Samantha Slight‐Webb United States	6	153 1.4×	30 0.3×	36 0.4×	188 2.9×	46 1.1×	8	263
Emil Nashi Canada	6	175 1.5×	38 0.4×	38 0.4×	85 1.3×	37 0.9×	8	252

Countries citing papers authored by Annie Borch

Since Specialization

Citations

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

Fields of papers citing papers by Annie Borch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annie Borch

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

Draghi, Arianna, Annie Borch, Filip Mundt, et al.. (2024). Nivolumab Reaches Brain Lesions in Patients with Recurrent Glioblastoma and Induces T-cell Activity and Upregulation of Checkpoint Pathways. Cancer Immunology Research. 12(9). 1202–1220. 6 indexed citations

Borch, Annie, Anne-Mette Bjerregaard, Oľga Østrup, et al.. (2023). Neoepitope load, T cell signatures and PD-L2 as combined biomarker strategy for response to checkpoint inhibition immunotherapy. Frontiers in Genetics. 14. 1058605–1058605.

Tvingsholm, Siri, Annie Borch, Arianna Draghi, et al.. (2021). Neoantigen-reactive CD8+ T cells affect clinical outcome of adoptive transfer with tumor-infiltrating lymphocytes in melanoma. UCL Discovery (University College London). 77 indexed citations

Borch, Annie, et al.. (2021). T Cell Epitope Prediction and Its Application to Immunotherapy. Frontiers in Immunology. 12. 712488–712488. 48 indexed citations

Borch, Annie, Arianna Draghi, Benedikte Hasselbalch, et al.. (2021). CTIM-22. NIVOLUMAB AND BEVACIZUMAB FOR RECURRENT GLIOBLASTOMA; T-CELL REACTIVITY AGAINST AUTOLOGOUS TUMOR CELLS. Neuro-Oncology. 23(Supplement_6). vi54–vi55.

Borch, Annie, Morten Hansen, Arianna Draghi, et al.. (2020). Common phenotypic dynamics of tumor-infiltrating lymphocytes across different histologies upon checkpoint inhibition: impact on clinical outcome. Cytotherapy. 22(4). 204–213. 12 indexed citations

Ramskov, Sofie, Anne-Mette Bjerregaard, Annie Borch, et al.. (2020). Tumor-Infiltrating T Cells From Clear Cell Renal Cell Carcinoma Patients Recognize Neoepitopes Derived From Point and Frameshift Mutations. Frontiers in Immunology. 11. 373–373. 29 indexed citations

Ramskov, Sofie, Theo Sturm, Annie Borch, et al.. (2019). HLA-C restricted neoepitopes contribute significantly to the immune recognition of cancer. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 1 indexed citations

Hansen, M., Jan Pødenphant, A. Florescu, et al.. (1999). A randomised trial of differentiated prednisolone treatment in active rheumatoid arthritis. Clinical benefits and skeletal side effects. Annals of the Rheumatic Diseases. 58(11). 713–718. 70 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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