Nora Isberner

531 citations
14 papers · 147 · h-index 8

Impact in

    • Chronic Lymphocytic Leukemia Research
    • Chronic Myeloid Leukemia Treatments
    • Hematopoietic Stem Cell Transplantation

Papers in

    • COVID-19 Clinical Research Studies 4
    • Chronic Lymphocytic Leukemia Research 3
    • Virus-based gene therapy research 1

Nora Isberner

13 papers receiving 147 citations

Peers

Nora Isberner
Comparison fields: 5 of 44
  • Genetics 18
  • Hematology 19
  • Infectious Diseases 29
  • Immunology 33
  • Transplantation 3
Replace Sarah Perreault with:
Sarah Perreault United States
Beatrice Lusenti Italy
Francesco Corrente Italy
Melisa Stricherz United States
Mikko Hakola Finland
Sravanti Rangaraju United States
Florian Kron Germany
Rossa Wai Kwun Chiu Hong Kong
Kindra Clark‐Snustad United States
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Citations per field
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Citations per year

Countries citing papers authored by Nora Isberner

Since Specialization
Citations

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

Fields of papers citing papers by Nora Isberner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nora Isberner, 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 Nora Isberner Line = papers co-authored together Nora Isberner links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 202035
2 202225
3 202112
4 202112
5 202312
6 202110
7 20229
8 20228
9 20207
10 20225
11 20214
12 20224
13 20204
14
COVID-19 in cancer patients: Clinical characteristics and outcome - a first analysis of the LEOSS registry
20200

About Nora Isberner

Nora Isberner is a scholar working on Infectious Diseases, Genetics, Oncology, Molecular Biology and Epidemiology, having authored 14 papers that have together received 147 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Chronic Myeloid Leukemia Treatments (2 papers), Cytomegalovirus and herpesvirus research (2 papers), Biosimilars and Bioanalytical Methods (2 papers), CAR-T cell therapy research (2 papers), Hermeneutics and Narrative Identity (1 paper) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Genetics (18 citations), Hematology (19 citations), Infectious Diseases (29 citations), Immunology (33 citations) and Transplantation (3 citations). Nora Isberner has collaborated with scholars based in Germany, China and France. Frequent co-authors include Hartwig Klinker, Oliver Scherf‐Clavel, Max Kurlbaum, Götz Ulrich Grigoleit, Sabrina Kraus, Theo Pelzer, Bastian Schilling, Charis Kalogirou, Maria-Elisabeth Goebeler and Siegbert Rieg. Their work appears in journals such as Journal of Pharmaceutical and Biomedical Analysis, Pharmaceutics, Infection, Cancers and Journal of Chromatography B.

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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