Luise Fischer

498 total citations
11 papers, 96 citations indexed

About

Luise Fischer is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Luise Fischer has authored 11 papers receiving a total of 96 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in Luise Fischer's work include CAR-T cell therapy research (4 papers), T-cell and B-cell Immunology (3 papers) and Biosimilars and Bioanalytical Methods (2 papers). Luise Fischer is often cited by papers focused on CAR-T cell therapy research (4 papers), T-cell and B-cell Immunology (3 papers) and Biosimilars and Bioanalytical Methods (2 papers). Luise Fischer collaborates with scholars based in Germany, United Kingdom and United States. Luise Fischer's co-authors include Annette I. Garbe, Karsten Kretschmer, Reni Kitte, Julia Riewaldt, Andrew Cooper, Martin Reuter, Sebastian Markett, Christian Montag, Andrea Felten and Bettina Husen and has published in prestigious journals such as Blood, PLoS ONE and Frontiers in Endocrinology.

In The Last Decade

Luise Fischer

10 papers receiving 95 citations

Peers

Luise Fischer

MB

IMMUN

ONCOL

RHEUM

HEMAT

Helene Kraus Switzerland

Pauline Hanns Switzerland

Omar Sherbini United States

Manuela Oppo Italy

Meng Fang China

Roxane‐Isabelle Kestner Germany

Marieke Lavaert Belgium

Bogna Klimek Switzerland

Anne‐Marie Guerrot France

Phillip L. De Jager United States

Helene Kraus Switzerland

Luise Fischer

25 ×0.6

MB

51 ×1.6

IMMUN

22 ×1.3

ONCOL

4 ×0.3

RHEUM

14 ×1.4

HEMAT

Citations per year, relative to Luise Fischer Luise Fischer (= 1×) peers Helene Kraus

Countries citing papers authored by Luise Fischer

Since Specialization

Citations

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

Fields of papers citing papers by Luise Fischer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luise Fischer

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

All Works

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11 of 11 papers shown

1.

Reiche, Kristin, Ulrike Weirauch, Markus Kreuz, et al.. (2025). Virtual twins for personalised CAR T-cell therapy in myeloma. The Lancet Haematology. 12(7). e490–e491.

2.

Fischer, Luise, et al.. (2023). CAR T cell therapy in multiple myeloma, where are we now and where are we heading for?. European Journal Of Haematology. 112(1). 19–27. 3 indexed citations

3.

Vučinić, Vladan, Luise Fischer, Enrica Bach, et al.. (2023). Apheresis for Production of Chimeric Antigen Receptor (CAR) T Cells in Patients with Multiple Myeloma - Clinical Factors, Cell Composition and T Cell Senescence. Blood. 142(Supplement 1). 3521–3521. 1 indexed citations

4.

Fischer, Luise, Sandra Hoffmann, Ronny Baber, et al.. (2023). Increased Bone Turnover and Decreased BCMA Levels in Patients with Response to Anti-BCMA CAR T Cell Therapy in Relapsed/Refractory Multiple Myeloma. Blood. 142(Supplement 1). 6643–6643. 1 indexed citations

5.

Haxel, Boris, et al.. (2022). Nasal polyp load determines the recovery of olfaction after surgery for chronic rhinosinusitis. Rhinology Journal. 0(0). 0–0. 2 indexed citations

6.

Schneider, M., Susann Winter, Luise Fischer, et al.. (2022). Activation of Distinct Inflammatory Pathways in LR-MDS Is Determined By Genetics. Blood. 140(Supplement 1). 4011–4012. 4 indexed citations

7.

Fischer, Luise, et al.. (2019). Foxp3+ Regulatory T Cells in Bone and Hematopoietic Homeostasis. Frontiers in Endocrinology. 10. 578–578. 46 indexed citations

8.

Schallenberg, Sonja, et al.. (2018). Approaches to Discriminate Naturally Induced Foxp3+ Treg cells of Intra- and Extrathymic Origin: Helios, Neuropilin-1, and Foxp3RFP/GFP. Journal of Clinical & Cellular Immunology. 9(1). 2 indexed citations

9.

Chacón‐Martínez, Carlos Andrés, et al.. (2016). SWEF Proteins Distinctly Control Maintenance and Differentiation of Hematopoietic Stem Cells. PLoS ONE. 11(8). e0161060–e0161060. 9 indexed citations

10.

Yang, Wei, Britta Burkhardt, Luise Fischer, et al.. (2015). Age-dependent changes of the antioxidant system in rat livers are accompanied by altered MAPK activation and a decline in motor signaling. PubMed. 14. 1273–90. 16 indexed citations

11.

Montag, Christian, Andrea Felten, Sebastian Markett, et al.. (2014). The Role of the BDNF Val66Met Polymorphism in Individual Differences in Long-Term Memory Capacity. Journal of Molecular Neuroscience. 54(4). 796–802. 12 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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