Daniel Bulut

825 citations
26 papers · 717 · h-index 16

Impact in

Papers in

Daniel Bulut

25 papers receiving 686 citations

Peers

Daniel Bulut
Comparison fields: 5 of 86
  • Cardiology and Cardiovascular Medicine 160
  • Biochemistry 36
  • Physiology 90
  • Drug Discovery 1
  • Molecular Biology 191
Replace Shuichiro Hamano with:
Shuichiro Hamano Japan
Takuma Kondo Japan
I. Pham France
Daniela Lamers Germany
Raphaela Schlich Germany
Jean‐Brice Marteau France
Khaled Khazim Israel
Karin Kohlstedt Germany
Fuqiong Chen China
Gabriella Passacquale United Kingdom
Daniel Bulut relative to Shuichiro Hamano Japan Shuichiro Hamano's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel Bulut

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Bulut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200776
2 201163
3 200855
4 200353
5 200738
6 200838
7 201036
8 201036
9 200535
10 200934
11 200733
12 200833
13 201129
14 200826
15 201023
16 201221
17 200716
18 201315
19
TRAIL and taurolidine enhance the anticancer activity of doxorubicin, trabectedin and mafosfamide in HT1080 human fibrosarcoma cells.
201211
20 200310

About Daniel Bulut

Daniel Bulut is a scholar working on Cardiology and Cardiovascular Medicine, Physiology, Molecular Biology, Biochemistry and Pharmacology, having authored 26 papers that have together received 717 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (8 papers), Nitric Oxide and Endothelin Effects (6 papers), Extracellular vesicles in disease (5 papers), Viral Infections and Immunology Research (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Eicosanoids and Hypertension Pharmacology (2 papers), Blood Pressure and Hypertension Studies (2 papers) and Sarcoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (160 citations), Biochemistry (36 citations), Physiology (90 citations), Drug Discovery (1 citation) and Molecular Biology (191 citations). Daniel Bulut has collaborated with scholars based in Germany. Frequent co-authors include Andreas Mügge, Christoph Hanefeld, Jan Börgel, Jörg T. Epplen, Ansgar M. Chromik, Waldemar H. Uhl, Horst P. Neubauer, Martin Spiecker, Adrien Daigeler and Bernd Martin Sanner. Their work appears in journals such as Clinical Research in Cardiology, International Journal of Oncology, European Journal of Clinical Investigation, Journal of Experimental & Clinical Cancer Research and Medical 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.

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