Eva Eßeling
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Multiple Myeloma Research and Treatments
Papers in
- Hematology 15
- Hematopoietic Stem Cell Transplantation 8
- Acute Myeloid Leukemia Research 6
- Chronic Myeloid Leukemia Treatments 1
- Multiple Myeloma Research and Treatments 1
-
- Hippo pathway signaling and YAP/TAZ 1
- Co-authors
- Jan‐Henrik Mikesch (9 shared papers)Matthias Stelljes (9 shared papers)Agnieszka Woźniak (1 shared paper)Sareetha Kailayangiri (1 shared paper)Patrick Schöffski (1 shared paper)Christian Reicherts (8 shared papers)Inga Grünewald (1 shared paper)Christoph Schliemann (8 shared papers)
In The Last Decade
Eva Eßeling
13 papers receiving 535 citations
Eva Eßeling's Hit Papers
Peers
Comparison fields: 5 of 28
- Hematology 476
- Medical Terminology 1
- Cell Biology 16
- Family Practice 2
- Pulmonary and Respiratory Medicine 24
Countries citing papers authored by Eva Eßeling
This map shows the geographic impact of Eva Eßeling'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 Eva Eßeling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Eßeling more than expected).
Fields of papers citing papers by Eva Eßeling
This network shows the impact of papers produced by Eva Eßeling. 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 Eva Eßeling. The network helps show where Eva Eßeling may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Eßeling, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Sorafenib Maintenance After Allogeneic Hematopoietic Stem Cell Transplantation for Acute Myeloid Leukemia With FLT3 –Internal Tandem Duplication Mutation (SORMAIN) Hit paper breakdown → | 2020 | 418 |
| 2 | 2019 | 41 | |
| 3 | 2024 | 36 | |
| 4 | 2023 | 15 | |
| 5 | 2020 | 10 | |
| 6 | 2020 | 7 | |
| 7 | 2024 | 5 | |
| 8 | 2024 | 4 | |
| 9 | 2022 | 3 | |
| 10 | 2025 | 3 | |
| 11 | 2022 | 1 | |
| 12 | 2023 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 0 | |
| 16 | 2025 | 0 | |
| 17 | 2026 | 0 |
About Eva Eßeling
Eva Eßeling is a scholar working on Hematology, Cell Biology, Public Health, Environmental and Occupational Health, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 17 papers that have together received 546 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (8 papers), Acute Myeloid Leukemia Research (6 papers), Chronic Myeloid Leukemia Treatments (1 paper), Hippo pathway signaling and YAP/TAZ (1 paper), Multiple Myeloma Research and Treatments (1 paper) and Acute Lymphoblastic Leukemia research (1 paper). The work is most often cited by research in Hematology (476 citations), Medical Terminology (1 citation), Cell Biology (16 citations), Family Practice (2 citations) and Pulmonary and Respiratory Medicine (24 citations). Eva Eßeling has collaborated with scholars based in Germany, Belgium and Sweden. Frequent co-authors include Jan‐Henrik Mikesch, Matthias Stelljes, Agnieszka Woźniak, Sareetha Kailayangiri, Patrick Schöffski, Christian Reicherts, Inga Grünewald, Christoph Schliemann, Thomas Simmet and Susanne Häfner. Their work appears in journals such as Blood, Bone Marrow Transplantation, Clinical Cancer Research, Annals of Hematology and Journal of Clinical Oncology.
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.