Silke Kapp‐Schwoerer

781 total citations
7 papers, 36 citations indexed

About

Silke Kapp‐Schwoerer is a scholar working on Hematology, Infectious Diseases and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Silke Kapp‐Schwoerer has authored 7 papers receiving a total of 36 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Hematology, 2 papers in Infectious Diseases and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Silke Kapp‐Schwoerer's work include Acute Myeloid Leukemia Research (5 papers), Acute Lymphoblastic Leukemia research (2 papers) and Chronic Myeloid Leukemia Treatments (2 papers). Silke Kapp‐Schwoerer is often cited by papers focused on Acute Myeloid Leukemia Research (5 papers), Acute Lymphoblastic Leukemia research (2 papers) and Chronic Myeloid Leukemia Treatments (2 papers). Silke Kapp‐Schwoerer collaborates with scholars based in Germany, United Kingdom and United States. Silke Kapp‐Schwoerer's co-authors include Michael Heuser, Ambros J. Beer, Beate Grüner, Helmut R. Salih, Felicitas Thol, Elisa Sala, Gundram Jung, Martin Steiner, Dominic Edelmann and Juliane S. Walz and has published in prestigious journals such as Blood, Journal of Hematology & Oncology and Haematologica.

In The Last Decade

Silke Kapp‐Schwoerer

7 papers receiving 36 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Silke Kapp‐Schwoerer Germany 5 17 11 10 9 8 7 36
Mohamed Amine Bekadja Algeria 5 33 1.9× 12 1.1× 8 0.8× 6 0.7× 8 1.0× 19 64
Shaimaa El‐Ashwah Egypt 4 19 1.1× 22 2.0× 6 0.6× 19 2.1× 10 1.3× 31 55
Juliana Martínez Rolón Argentina 5 29 1.7× 15 1.4× 10 1.0× 11 1.2× 3 0.4× 12 45
Thomas Chalopin France 5 19 1.1× 15 1.4× 5 0.5× 3 0.3× 19 2.4× 20 54
Lizamarie Bachier‐Rodriguez United States 4 32 1.9× 29 2.6× 10 1.0× 11 1.2× 4 0.5× 21 59
Denis-Claude Roy Canada 4 18 1.1× 16 1.5× 6 0.6× 12 1.3× 3 0.4× 5 39
Valentine Richez France 3 31 1.8× 12 1.1× 3 0.3× 4 0.4× 20 2.5× 8 38
Anna Mertelsmann United States 3 24 1.4× 24 2.2× 6 0.6× 45 5.0× 10 1.3× 13 74
Ramzi Khalaf United States 4 19 1.1× 21 1.9× 5 0.5× 11 1.2× 3 0.4× 6 42
Sæmundur Rögnvaldsson Iceland 5 31 1.8× 19 1.7× 7 0.7× 8 0.9× 23 2.9× 17 61

Countries citing papers authored by Silke Kapp‐Schwoerer

Since Specialization
Citations

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

Fields of papers citing papers by Silke Kapp‐Schwoerer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Silke Kapp‐Schwoerer. 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 Silke Kapp‐Schwoerer. The network helps show where Silke Kapp‐Schwoerer may publish in the future.

Co-authorship network of co-authors of Silke Kapp‐Schwoerer

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

All Works

7 of 7 papers shown
1.
Krishnamurthy, Pramila, Natalie Lorenz, Paula Williams, et al.. (2024). Real-World Treatment Patterns and Outcomes with Oral Azacitidine Maintenance Therapy in Patients with Acute Myeloid Leukemia. Blood. 144(Supplement 1). 2425–2425. 1 indexed citations
2.
Heitmann, Jonas S., Richard F. Schlenk, Daniela Dörfel, et al.. (2023). Phase I study evaluating the Fc-optimized FLT3 antibody FLYSYN in AML patients with measurable residual disease. Journal of Hematology & Oncology. 16(1). 96–96. 12 indexed citations
3.
Eberhardt, Nina, Lynn Peters, Silke Kapp‐Schwoerer, et al.. (2022). 18F-FDG-PET/MR in Alveolar Echinococcosis: Multiparametric Imaging in a Real-World Setting. Pathogens. 11(3). 348–348. 9 indexed citations
4.
Sala, Elisa, et al.. (2022). Pharmacotherapeutic management of T-cell acute lymphoblastic leukemia in adults: an update of the literature. Expert Opinion on Pharmacotherapy. 23(5). 561–571. 4 indexed citations
5.
Krzykalla, Julia, Silke Kapp‐Schwoerer, Verena I. Gaidzik, et al.. (2021). Cluster of differentiation 33 single nucleotide polymorphism rs12459419 is a predictive factor in patients with <i>nucleophosmin1</i>-mutated acute myeloid leukemia receiving gemtuzumab ozogamicin. Haematologica. 106(11). 2986–2989. 5 indexed citations
6.
Heitmann, Jonas S., Daniela Dörfel, Sabine Käyser, et al.. (2020). First-in-Human Phase I Dose Escalation and Expansion Study Evaluating the Fc Optimized FLT3 Antibody Flysyn in Acute Myeloid Leukemia Patients with Minimal Residual Disease. Blood. 136(Supplement 1). 8–9. 4 indexed citations
7.
Kapp‐Schwoerer, Silke, Sibylle Cocciardi, Anna Dolnik, et al.. (2015). Clonal Evolution in NPM1 Mutated Acute Myeloid Leukemia (AML). Blood. 126(23). 1381–1381. 1 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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