Anna Reischer

482 total citations
8 papers, 85 citations indexed

About

Anna Reischer is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Anna Reischer has authored 8 papers receiving a total of 85 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 3 papers in Molecular Biology and 3 papers in Immunology. Recurrent topics in Anna Reischer's work include Immune Cell Function and Interaction (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). Anna Reischer is often cited by papers focused on Immune Cell Function and Interaction (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). Anna Reischer collaborates with scholars based in Germany and France. Anna Reischer's co-authors include Fabian Trillsch, Andreas Humpe, Anetta Marcinek, Sven� Mahner, Christian Augsberger, Björn Hiller, Binje Vick, Marion Subklewe, Alexandra Leutbecher and Karl‐Peter Hopfner and has published in prestigious journals such as Blood, Scientific Reports and Theranostics.

In The Last Decade

Anna Reischer

6 papers receiving 85 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anna Reischer Germany	5	36	32	24	21	19	8	85
Ria Uhlig Germany	3	23 0.6×	44 1.4×	24 1.0×	21 1.0×	10 0.5×	6	79
Ana Alcaraz‐Serna Spain	4	41 1.1×	30 0.9×	45 1.9×	8 0.4×	12 0.6×	5	106
Lisa von Wenserski Germany	5	44 1.2×	42 1.3×	33 1.4×	12 0.6×	10 0.5×	5	104
Charlotte O’Brien-Gore United Kingdom	5	15 0.4×	28 0.9×	32 1.3×	18 0.9×	14 0.7×	6	90
Tressa Hood United States	8	25 0.7×	71 2.2×	37 1.5×	32 1.5×	43 2.3×	20	133
Lea Fritz Germany	4	30 0.8×	21 0.7×	19 0.8×	9 0.4×	8 0.4×	4	86
R. Scott Mead Australia	5	13 0.4×	48 1.5×	28 1.2×	16 0.8×	29 1.5×	5	91
Benoit Fiset Canada	6	39 1.1×	38 1.2×	29 1.2×	9 0.4×	10 0.5×	10	91
Rana H. Besada United States	3	50 1.4×	36 1.1×	56 2.3×	17 0.8×	10 0.5×	5	107
Mohammad Atiq United States	6	49 1.4×	88 2.8×	54 2.3×	64 3.0×	26 1.4×	21	155

Countries citing papers authored by Anna Reischer

Since Specialization

Citations

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

Fields of papers citing papers by Anna Reischer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Reischer

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

Dorman, Klara, Laura Fischer, Danmei Zhang, et al.. (2025). Real-world analysis of immune checkpoint inhibitor efficacy and response predictors in patients treated at the CCCMunichLMU outpatient clinic. Scientific Reports. 15(1). 43269–43269.

2.

Reischer, Anna, Stephan Krüger, & Michael von Bergwelt‐Baildon. (2021). Checkpoint-Inhibitoren – aktuelle Versorgungsstandards und Zukunftstrends. DMW - Deutsche Medizinische Wochenschrift. 146(17). 1108–1118.

3.

Vick, Binje, Björn Hiller, Anetta Marcinek, et al.. (2021). SIRPα-αCD123 fusion antibodies targeting CD123 in conjunction with CD47 blockade enhance the clearance of AML-initiating cells. Journal of Hematology & Oncology. 14(1). 155–155. 26 indexed citations

4.

Heublein, Sabine, Doris Mayr, Anna Reischer, et al.. (2020). M2 Macrophages Infiltrating Epithelial Ovarian Cancer Express MDR1: A Feature That May Account for the Poor Prognosis. Cells. 9(5). 1224–1224. 26 indexed citations

5.

Bücklein, Veit, Viktoria Blumenberg, Christian Schmidt, et al.. (2020). P07.01 CD19 CAR T-cells for relapsed/refractory diffuse large B-cell Lymphoma: real-world data from LMU Munich. A48.2–A49. 1 indexed citations

6.

Buecklein, Veit, Viktoria Blumenberg, Christian Schmidt, et al.. (2020). Single-Center Experience with Axicabtagene-Ciloleucel (Axi-cel) and Tisagenlecleucel (Tisa-cel) for Relapsed/Refractory Diffuse Large B-Cell Lymphoma: Comparable Response Rates and Manageable Toxicity. Blood. 136(Supplement 1). 34–35. 4 indexed citations

7.

Baumgarten, Louisa von, Jörg Kumbrink, Andreas Jung, et al.. (2019). Therapeutic management of neuro-oncologic patients - potential relevance of CSF liquid biopsy. Theranostics. 10(2). 856–866. 21 indexed citations

8.

Reischer, Anna, Bénédikt Jacobs, Kathrin Meinhardt, et al.. (2014). Nilotinib combined with interleukin-2 mediates antitumor and immunological effects in a B16 melanoma model. Oncology Reports. 31(5). 2015–2020. 7 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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