Annette Paschen

7.1k total citations
90 papers, 3.2k citations indexed

About

Annette Paschen is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Annette Paschen has authored 90 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Immunology, 51 papers in Oncology and 37 papers in Molecular Biology. Recurrent topics in Annette Paschen's work include Immunotherapy and Immune Responses (48 papers), CAR-T cell therapy research (29 papers) and Immune Cell Function and Interaction (24 papers). Annette Paschen is often cited by papers focused on Immunotherapy and Immune Responses (48 papers), CAR-T cell therapy research (29 papers) and Immune Cell Function and Interaction (24 papers). Annette Paschen collaborates with scholars based in Germany, United States and Spain. Annette Paschen's co-authors include Dirk Schadendorf, Antje Sucker, Klaus Griewank, Bastian Schilling, Fang Zhao, Federico Garrido, Adelheid Cerwenka, Jürgen C. Becker, Francisco Ruiz‐Cabello and Alexander Steinle and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and JNCI Journal of the National Cancer Institute.

In The Last Decade

Annette Paschen

86 papers receiving 3.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Annette Paschen 1.9k 1.6k 1.2k 399 175 90 3.2k
Christopher Schmidt 1.9k 1.0× 1.5k 1.0× 1.3k 1.1× 402 1.0× 467 2.7× 88 3.3k
Michael C. Schmid 1.6k 0.9× 1.6k 1.0× 1.6k 1.4× 591 1.5× 176 1.0× 53 4.1k
Jeffrey P. North 444 0.2× 1.5k 0.9× 1.1k 1.0× 426 1.1× 294 1.7× 93 2.5k
Ángeles García-Pardo 1.3k 0.7× 742 0.5× 1.7k 1.4× 1.0k 2.6× 127 0.7× 81 4.7k
Arko Gorter 2.2k 1.2× 1.5k 0.9× 1.4k 1.2× 490 1.2× 429 2.5× 82 4.1k
Hiroya Kobayashi 1.7k 0.9× 1.0k 0.7× 844 0.7× 99 0.2× 162 0.9× 88 2.3k
Nicole Meyer-Morse 711 0.4× 1.1k 0.7× 1.9k 1.7× 970 2.4× 310 1.8× 11 3.5k
Elizabeth A. Reap 2.8k 1.5× 1.2k 0.8× 1.2k 1.1× 174 0.4× 446 2.5× 62 4.4k
Sophie Lucas 4.5k 2.4× 2.0k 1.2× 2.1k 1.8× 218 0.5× 257 1.5× 71 5.8k
Tetsuji Kobata 2.4k 1.3× 542 0.3× 898 0.8× 604 1.5× 229 1.3× 82 3.9k

Countries citing papers authored by Annette Paschen

Since Specialization
Citations

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

Fields of papers citing papers by Annette Paschen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annette Paschen

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

All Works

20 of 20 papers shown
1.
Schmidt, Maria, Carolyn J. Schultz, Henry Loeffler‐Wirth, et al.. (2025). Single‐cell transcriptomics and epigenomics point to CD58‐CD2 interaction in controlling primary melanoma growth and immunity. Cancer Communications. 45(4). 465–470.
3.
Paschen, Annette, et al.. (2024). Orthanq: transparent and uncertainty-aware haplotype quantification with application in HLA-typing. BMC Bioinformatics. 25(1). 240–240.
4.
Zaremba, Anne, Antje Sucker, Gennadiy Zelinskyy, et al.. (2023). HLA Class II Loss and JAK1/2 Deficiency Coevolve in Melanoma Leading to CD4 T-cell and IFNγ Cross-Resistance. Clinical Cancer Research. 29(15). 2894–2907. 9 indexed citations
5.
Papafotiou, George, et al.. (2023). Targeting the recurrent Rac1P29S neoepitope in melanoma with heterologous high-affinity T cell receptors. Frontiers in Immunology. 14. 1119498–1119498. 3 indexed citations
6.
Becker, Jürgen C., Annette Paschen, Dirk Jäger, et al.. (2021). Expression of Potential Targets for Cell-Based Therapies on Melanoma Cells. Life. 11(4). 269–269. 10 indexed citations
7.
Chauvistré, Heike, Pietro Crivello, Katharina Fleischhauer, et al.. (2021). Melanoma Differentiation Trajectories Determine Sensitivity toward Pre-Existing CD8+ Tumor-Infiltrating Lymphocytes. Journal of Investigative Dermatology. 141(10). 2480–2489. 7 indexed citations
8.
Ugurel, Selma, Dirk Schadendorf, Antje Sucker, et al.. (2020). Elevated baseline serum PD-1 or PD-L1 predicts poor outcome of PD-1 inhibition therapy in metastatic melanoma. Annals of Oncology. 31(1). 144–152. 64 indexed citations
9.
Paschen, Annette & Dirk Schadendorf. (2019). The Era of Checkpoint Inhibition: Lessons Learned from Melanoma. Recent results in cancer research. 214. 169–187. 6 indexed citations
10.
Daßler‐Plenker, Juliane, Annette Paschen, Marion Goldeck, et al.. (2018). Direct RIG‐I activation in human NK cells induces TRAIL‐dependent cytotoxicity toward autologous melanoma cells. International Journal of Cancer. 144(7). 1645–1656. 26 indexed citations
11.
Ritter, Cathrin, Kaiji Fan, Annette Paschen, et al.. (2017). Epigenetic priming restores the HLA class-I antigen processing machinery expression in Merkel cell carcinoma. Scientific Reports. 7(1). 2290–2290. 107 indexed citations
12.
Scholz, Simone L., Inga Möller, Henning Reis, et al.. (2017). Frequent GNAQ, GNA11 , and EIF1AX Mutations in Iris Melanoma. Investigative Ophthalmology & Visual Science. 58(9). 3464–3464. 26 indexed citations
13.
Zhao, Fang, Antje Sucker, Susanne Horn, et al.. (2016). Melanoma Lesions Independently Acquire T-cell Resistance during Metastatic Latency. Cancer Research. 76(15). 4347–4358. 57 indexed citations
14.
Paschen, Annette, et al.. (2016). The Influence of HLA and KIR Genes on Malignant Melanoma Development and Progression. Archivum Immunologiae et Therapiae Experimentalis. 64(S1). 73–81. 10 indexed citations
15.
Schlecker, Eva, Nathalie Fiegler, Annette Arnold, et al.. (2014). Metalloprotease-Mediated Tumor Cell Shedding of B7-H6, the Ligand of the Natural Killer Cell–Activating Receptor NKp30. Cancer Research. 74(13). 3429–3440. 169 indexed citations
16.
Sucker, Antje, Fang Zhao, Birgit Real, et al.. (2014). Genetic Evolution of T-cell Resistance in the Course of Melanoma Progression. Clinical Cancer Research. 20(24). 6593–6604. 127 indexed citations
17.
Simon‐Keller, Katja, Annette Paschen, Andreas Hombach, et al.. (2013). Survivin Blockade Sensitizes Rhabdomyosarcoma Cells for Lysis by Fetal Acetylcholine Receptor–Redirected T Cells. American Journal Of Pathology. 182(6). 2121–2131. 19 indexed citations
18.
Heinemann, Anja, Fang Zhao, Sonali Pechlivanis, et al.. (2011). Tumor Suppressive MicroRNAs miR-34a/c Control Cancer Cell Expression of ULBP2, a Stress-Induced Ligand of the Natural Killer Cell Receptor NKG2D. Cancer Research. 72(2). 460–471. 167 indexed citations
19.
Röhn, Till A., Annette Paschen, Xuan Duc Nguyen, et al.. (2005). A Novel Strategy for the Discovery of MHC Class II–Restricted Tumor Antigens: Identification of a Melanotransferrin Helper T-Cell Epitope. Cancer Research. 65(21). 10068–10078. 32 indexed citations
20.
Paschen, Annette, et al.. (2004). MIA (melanoma inhibitory activity) promoter mediated tissue-specific suicide gene therapy of malignant melanoma. Cancer Gene Therapy. 11(6). 408–418. 16 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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