Daniël Ernst

20 papers receiving 489 citations

Peers

Daniël Ernst
Comparison fields: 5 of 74
  • Internal Medicine 21
  • Oncology 143
  • Biomedical Engineering 147
  • Hematology 31
  • Organic Chemistry 86
Replace S. Sibel Erdem with:
S. Sibel Erdem United States
Jinhua Piao China
Adrianus C. Laan Netherlands
Suzanne J. Bakewell United States
Hannsjörg Sinn Germany
Naoki Makita Japan
Niko Deckers Netherlands
Margaret S. Cooper United Kingdom
Claudia Abramjuk Germany
Saini Setua United States
Daniël Ernst relative to S. Sibel Erdem United States S. Sibel Erdem's profile →
Citations per field
00.5×4.3×
S. Sibel Erdem · 1×
Citations per year

Countries citing papers authored by Daniël Ernst

Since Specialization
Citations

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

Fields of papers citing papers by Daniël Ernst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017186
2 201855
3 201744
4 202143
5 200739
6 201731
7 201325
8 202118
9 201912
10 20148
11 20157
12 20206
13 20155
14 20114
15 20214
16 20152
17 20202
18 20162
19 20211
20 20171

About Daniël Ernst

Daniël Ernst is a scholar working on Hematology, Oncology, Immunology, Genetics and Pathology and Forensic Medicine, having authored 22 papers that have together received 495 indexed citations. Recurring topics across this work include Photodynamic Therapy Research Studies (3 papers), Immune Cell Function and Interaction (3 papers), CAR-T cell therapy research (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Acute Myeloid Leukemia Research (2 papers), Nanoplatforms for cancer theranostics (2 papers), Venous Thromboembolism Diagnosis and Management (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Internal Medicine (21 citations), Oncology (143 citations), Biomedical Engineering (147 citations), Hematology (31 citations) and Organic Chemistry (86 citations). Daniël Ernst has collaborated with scholars based in Chile, Canada and Netherlands. Frequent co-authors include Armand Keating, Sylvia E. Le Dévédec, Michael S. Meijer, Sylvestre Bonnet, Lucien N. Lameijer, Sven H. C. Askes, Samantha L. Hopkins, Bruno M. Balsiger, Daniel Giachino and Pablo Ramírez. Their work appears in journals such as Thrombosis Research, Journal of Hepatology, Blood Cancer Journal, Journal of Photochemistry and Photobiology B Biology and International Journal of Gynecology & Obstetrics.

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.

Explore authors with similar magnitude of impact