Eva Eßeling

714 citations
9 papers · 70 · h-index 5

Impact in

    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Multiple Myeloma Research and Treatments
    • Hippo pathway signaling and YAP/TAZ

Papers in

    • Acute Myeloid Leukemia Research 7
    • Hematopoietic Stem Cell Transplantation 6
    • Multiple Myeloma Research and Treatments 1
    • Histone Deacetylase Inhibitors Research 2
    • Protein Degradation and Inhibitors 1

Eva Eßeling

7 papers receiving 69 citations

Peers

Eva Eßeling
Comparison fields: 5 of 21
  • Hematology 30
  • Cell Biology 16
  • Pulmonary and Respiratory Medicine 19
  • Oncology 16
  • Transplantation 1
Replace David Hoffmann with:
David Hoffmann France
Siebe Loontiens Belgium
Richard Packer United Kingdom
Julia Obländer Germany
Cecilia A. Castellano United States
Virginia Turati United Kingdom
Lenny Straszkowski Australia
Lucia Copáková Slovakia
Daniel Hüebschmann Germany
Danielle M. Dunlea Ireland
Eva Eßeling relative to David Hoffmann France David Hoffmann's profile →
Citations per field
00.5×1.5×2.1×
David Hoffmann · 1×
Citations per year

Countries citing papers authored by Eva Eßeling

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

9 of 9 papers shown
#Work
1 201938
2 202313
3 20207
4 20206
5 20244
6 20241
7 20231
8 20250
9 20250

About Eva Eßeling

Eva Eßeling is a scholar working on Hematology, Molecular Biology, Public Health, Environmental and Occupational Health, Oncology and Epidemiology, having authored 9 papers that have together received 70 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (7 papers), Hematopoietic Stem Cell Transplantation (6 papers), Acute Lymphoblastic Leukemia research (3 papers), Histone Deacetylase Inhibitors Research (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Protein Degradation and Inhibitors (1 paper), Multiple Myeloma Research and Treatments (1 paper) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Hematology (30 citations), Cell Biology (16 citations), Pulmonary and Respiratory Medicine (19 citations), Oncology (16 citations) and Transplantation (1 citation). Eva Eßeling has collaborated with scholars based in Germany, Belgium and United States. Frequent co-authors include Jan‐Henrik Mikesch, Claudia Rössig, Thomas Simmet, Matthias Stelljes, Marcel Trautmann, Konrad Steinestel, Agnieszka Woźniak, Wolfgang Hartmann, Inga Grünewald and Sebastian Huss. Their work appears in journals such as Bone Marrow Transplantation, Clinical Cancer Research, British Journal of Haematology, Haematologica and HemaSphere.

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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