Barbara Jeker
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
-
- CAR-T cell therapy research
Papers in
- Oncology 17
- CAR-T cell therapy research 6
- Cancer Treatment and Pharmacology 5
- Peptidase Inhibition and Analysis 3
- Hematology 17
- Multiple Myeloma Research and Treatments 13
- Acute Myeloid Leukemia Research 4
- Chronic Myeloid Leukemia Treatments 3
- Co-authors
- Thomas Pabst (22 shared papers)Ulrike Bacher (21 shared papers)Urban Novak (11 shared papers)Katja Seipel (7 shared papers)Hendrik Bracht (1 shared paper)Francesca Porta (1 shared paper)Jukka Takala (1 shared paper)David Tüller (1 shared paper)
- Journals
- Blood (5 papers)Cancers (4 papers)Hematological Oncology (4 papers)Bone Marrow Transplantation (3 papers)Current Issues in Molecular Biology (2 papers)
- Partner nations
- SwitzerlandGermanyNetherlands
In The Last Decade
Barbara Jeker
22 papers receiving 139 citations
Peers
Comparison fields: 5 of 34
- Hematology 65
- Oncology 45
- Genetics 10
- Emergency Medicine 8
- Epidemiology 19
Countries citing papers authored by Barbara Jeker
This map shows the geographic impact of Barbara Jeker'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 Barbara Jeker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara Jeker more than expected).
Fields of papers citing papers by Barbara Jeker
This network shows the impact of papers produced by Barbara Jeker. 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 Barbara Jeker. The network helps show where Barbara Jeker may publish in the future.
Co-authors
The 25 scholars most cited alongside Barbara Jeker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 38 | |
| 2 | 2022 | 17 | |
| 3 | 2017 | 11 | |
| 4 | 2018 | 10 | |
| 5 | 2022 | 10 | |
| 6 | 2019 | 7 | |
| 7 | 2019 | 7 | |
| 8 | 2020 | 6 | |
| 9 | 2018 | 6 | |
| 10 | 2019 | 5 | |
| 11 | 2023 | 4 | |
| 12 | 2024 | 3 | |
| 13 | 2023 | 3 | |
| 14 | 2019 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2025 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2020 | 1 |
About Barbara Jeker
Barbara Jeker is a scholar working on Oncology, Hematology, Molecular Biology, Epidemiology and Infectious Diseases, having authored 25 papers that have together received 141 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (13 papers), Protein Degradation and Inhibitors (7 papers), CAR-T cell therapy research (6 papers), Cancer Treatment and Pharmacology (5 papers), Acute Myeloid Leukemia Research (4 papers), Chronic Myeloid Leukemia Treatments (3 papers), Peptidase Inhibition and Analysis (3 papers) and Pneumocystis jirovecii pneumonia detection and treatment (2 papers). The work is most often cited by research in Hematology (65 citations), Oncology (45 citations), Genetics (10 citations), Emergency Medicine (8 citations) and Epidemiology (19 citations). Barbara Jeker has collaborated with scholars based in Switzerland, Germany and Netherlands. Frequent co-authors include Thomas Pabst, Ulrike Bacher, Urban Novak, Katja Seipel, Hendrik Bracht, Francesca Porta, Jukka Takala, David Tüller, Stephan M. Jakob and Naomi Porret. Their work appears in journals such as Blood, Cancers, Hematological Oncology, Bone Marrow Transplantation and Current Issues in Molecular Biology.
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.