Klara Kirschbaum

534 citations
9 papers · 305 · h-index 5

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
  • Genetics top 10%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
    • Hemoglobinopathies and Related Disorders

Papers in

    • Myeloproliferative Neoplasms: Diagnosis and Treatment 2
    • Hemoglobinopathies and Related Disorders 2
    • Acute Myeloid Leukemia Research 2

Klara Kirschbaum

9 papers receiving 303 citations

Peers

Klara Kirschbaum
Comparison fields: 5 of 41
  • Hematology 121
  • Genetics 86
  • Biomaterials 30
  • Immunology 42
  • Rheumatology 29
Replace Marta Byrska-Bishop with:
Marta Byrska-Bishop United States
Joana Frobel Germany
Zaniah N. Gonzalez-Galofre United Kingdom
Dimitra Zacharaki Sweden
Yasunobu Nishiwaki Japan
Katja Coeleveld Netherlands
Mark van der Garde United Kingdom
Elena Albiero Italy
Xinjun Lei China
Klara Kirschbaum relative to Marta Byrska-Bishop United States Marta Byrska-Bishop's profile →
Citations per field
00.5×2×2.6×
Marta Byrska-Bishop · 1×
Citations per year

Countries citing papers authored by Klara Kirschbaum

Since Specialization
Citations

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

Fields of papers citing papers by Klara Kirschbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Klara Kirschbaum, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Klara Kirschbaum Line = papers co-authored together Klara Kirschbaum links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2020116
2 201687
3 202048
4 202132
5 202113
6 20255
7 20202
8 20241
9 20221

About Klara Kirschbaum

Klara Kirschbaum is a scholar working on Genetics, Hematology, Rheumatology, Cardiology and Cardiovascular Medicine and Cancer Research, having authored 9 papers that have together received 305 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Cancer Genomics and Diagnostics (1 paper), Multiple Sclerosis Research Studies (1 paper), Cardiovascular Function and Risk Factors (1 paper), Immunotherapy and Immune Responses (1 paper) and Cardiac electrophysiology and arrhythmias (1 paper). The work is most often cited by research in Hematology (121 citations), Genetics (86 citations), Biomaterials (30 citations), Immunology (42 citations) and Rheumatology (29 citations). Klara Kirschbaum has collaborated with scholars based in Germany, United Kingdom and Portugal. Frequent co-authors include Sebastian Cremer, Andreas Michael Zeiher, Stefanie Dimmeler, Tina Rasper, Lena Dorsheimer, Birgit Aßmus, Khalil Abou‐El‐Ardat, Michael A. Rieger, Alexander Berkowitsch and Silvia Mas‐Peiró. Their work appears in journals such as European Heart Journal, ESC Heart Failure, Clinical Research in Cardiology, Circulation Genomic and Precision Medicine and Proceedings of the National Academy of Sciences.

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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