Daniela Stallmann

512 citations
25 papers · 386 · h-index 10

Impact in

Papers in

Daniela Stallmann

25 papers receiving 381 citations

Peers

Daniela Stallmann
Comparison fields: 5 of 74
  • Biological Psychiatry 28
  • Cancer Research 65
  • Internal Medicine 13
  • Immunology 76
  • Hematology 35
Replace Wared Nour‐Eldine with:
Wared Nour‐Eldine Lebanon
Silvia Oggero United Kingdom
Yi-Sheng Chang Taiwan
Balázs Juhász Hungary
Sarah Sargin Germany
Corine J. Hess Netherlands
Selçuk Daşdemir Türkiye
Victor Luu United States
Ljiljana Luković Serbia
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Citations per field
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Wared Nour‐Eldine · 1×
Citations per year

Countries citing papers authored by Daniela Stallmann

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Stallmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019130
2 201535
3 201834
4 201430
5 201721
6 201720
7 201815
8 201915
9 199312
10 202110
11 20179
12 20238
13 20187
14 20187
15 20186
16 20195
17 20135
18 20235
19
[Hailey-Hailey disease with dissemination and eczema herpeticatum in therapy with etretinate].
19884
20 20232

About Daniela Stallmann

Daniela Stallmann is a scholar working on Hematology, Cancer Research, Pathology and Forensic Medicine, Molecular Biology and Epidemiology, having authored 25 papers that have together received 386 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (3 papers), MicroRNA in disease regulation (3 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Blood disorders and treatments (1 paper), Fungal Infections and Studies (1 paper), Fuel Cells and Related Materials (1 paper), HIV/AIDS Impact and Responses (1 paper) and Anodic Oxide Films and Nanostructures (1 paper). The work is most often cited by research in Biological Psychiatry (28 citations), Cancer Research (65 citations), Internal Medicine (13 citations), Immunology (76 citations) and Hematology (35 citations). Daniela Stallmann has collaborated with scholars based in Germany, Australia and United States. Frequent co-authors include Daniel Duerschmied, Christoph Bode, Ingo Ahrens, Maximilian Mauler, Marcus Hortmann, Samuel D. Robinson, Karlheinz Peter, Marie Follo, Christoph Bode and Thilo Witsch. Their work appears in journals such as International Journal of Cardiology, Journal of Visualized Experiments, Acta Pharmacologica Sinica, Atherosclerosis and PLoS ONE.

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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