Sofie Ramskov

3.7k total citations
8 papers, 341 citations indexed

About

Sofie Ramskov is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Sofie Ramskov has authored 8 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 3 papers in Oncology and 1 paper in Molecular Biology. Recurrent topics in Sofie Ramskov's work include Immunotherapy and Immune Responses (6 papers), T-cell and B-cell Immunology (3 papers) and CAR-T cell therapy research (3 papers). Sofie Ramskov is often cited by papers focused on Immunotherapy and Immune Responses (6 papers), T-cell and B-cell Immunology (3 papers) and CAR-T cell therapy research (3 papers). Sofie Ramskov collaborates with scholars based in Denmark, Germany and United Kingdom. Sofie Ramskov's co-authors include Sine Reker Hadrup, Inge Marie Svane, Marco Donia, Søren Nyboe Jakobsen, Sunil Kumar Saini, Per thor Straten, Amalie Kai Bentzen, Zoltán Szállási, Rikke Lyngaa and Andrea Marion Marquard and has published in prestigious journals such as Nature Biotechnology, Frontiers in Immunology and Cancer Immunology Research.

In The Last Decade

Sofie Ramskov

8 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sofie Ramskov Denmark	6	260	181	132	55	30	8	341
Andrew Furness United Kingdom	4	181 0.7×	151 0.8×	91 0.7×	39 0.7×	26 0.9×	10	253
Praveen D. Chatani United States	5	241 0.9×	194 1.1×	214 1.6×	37 0.7×	33 1.1×	11	382
Zea Melton United States	7	120 0.5×	165 0.9×	113 0.9×	66 1.2×	28 0.9×	8	288
Richard Wnek United States	10	141 0.5×	143 0.8×	89 0.7×	22 0.4×	26 0.9×	14	284
Michael Korrer United States	7	291 1.1×	197 1.1×	79 0.6×	21 0.4×	18 0.6×	16	361
Carlos Luri‐Rey Spain	11	218 0.8×	203 1.1×	93 0.7×	20 0.4×	32 1.1×	21	344
Martin G. Klatt United States	12	350 1.3×	271 1.5×	167 1.3×	52 0.9×	43 1.4×	20	494
Don G. Lee South Korea	11	251 1.0×	191 1.1×	69 0.5×	22 0.4×	25 0.8×	13	355
Christine T. McGowan United States	3	266 1.0×	226 1.2×	211 1.6×	29 0.5×	42 1.4×	3	388
Ho S. Oh South Korea	11	277 1.1×	206 1.1×	64 0.5×	22 0.4×	23 0.8×	13	377

Countries citing papers authored by Sofie Ramskov

Since Specialization

Citations

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

Fields of papers citing papers by Sofie Ramskov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sofie Ramskov

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

1.

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

2.

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

3.

Saini, Sunil Kumar, Tripti Tamhane, Sofie Ramskov, et al.. (2019). Empty peptide-receptive MHC class I molecules for efficient detection of antigen-specific T cells. Science Immunology. 4(37). 53 indexed citations

4.

Ramskov, Sofie, Rikke Sick Andersen, Özcan Met, et al.. (2019). Abstract B036: T-cell recognition of breast cancer antigens. Cancer Immunology Research. 7(2_Supplement). B036–B036. 1 indexed citations

5.

Ramskov, Sofie, Rikke Sick Andersen, Theo Sturm, et al.. (2019). T cell recognition of novel shared breast cancer antigens is frequently observed in peripheral blood of breast cancer patients. OncoImmunology. 8(12). e1663107–e1663107. 6 indexed citations

6.

Bentzen, Amalie Kai, Andrea Marion Marquard, Rikke Lyngaa, et al.. (2016). Large-scale detection of antigen-specific T cells using peptide-MHC-I multimers labeled with DNA barcodes. Nature Biotechnology. 34(10). 1037–1045. 216 indexed citations

7.

Hadrup, Sine Reker, Dominik Maurer, Thomas Mørch Frøsig, et al.. (2014). Cryopreservation of MHC multimers: Recommendations for quality assurance in detection of antigen specific T cells. Cytometry Part A. 87(1). 37–48. 16 indexed citations

8.

Andersen, Rikke Sick, Sofie Ramskov, Rikke Lyngaa, et al.. (2013). High frequency of T cells specific for cryptic epitopes in melanoma patients. OncoImmunology. 2(7). e25374–e25374. 19 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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