Beat Flühmann

871 total citations
28 papers, 562 citations indexed

About

Beat Flühmann is a scholar working on Hematology, Economics and Econometrics and Genetics. According to data from OpenAlex, Beat Flühmann has authored 28 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Hematology, 8 papers in Economics and Econometrics and 7 papers in Genetics. Recurrent topics in Beat Flühmann's work include Iron Metabolism and Disorders (13 papers), Pharmaceutical Economics and Policy (8 papers) and Nanoparticle-Based Drug Delivery (7 papers). Beat Flühmann is often cited by papers focused on Iron Metabolism and Disorders (13 papers), Pharmaceutical Economics and Policy (8 papers) and Nanoparticle-Based Drug Delivery (7 papers). Beat Flühmann collaborates with scholars based in Switzerland, United States and Netherlands. Beat Flühmann's co-authors include Stefan Mühlebach, Gerrit Borchard, Vinod P. Shah, Daan J.A. Crommelin, Jon S. B. de Vlieger, Vera Weinstein, Ioanna Ntai, Scott E. McNeil, Steven Simoens and Felix Funk and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Journal of Controlled Release.

In The Last Decade

Beat Flühmann

25 papers receiving 539 citations

Peers

Beat Flühmann
Comparison fields: 5 of 92
  • Biomaterials 160
  • Hematology 142
  • Biomedical Engineering 119
  • Immunology 102
  • Molecular Biology 92
Replace Gerlie Gieser with:
Gerlie Gieser United States
Marije Slingerland Netherlands
Wenyi Zheng Sweden
Kasper van der Born Netherlands
Jetske M. Meerum Terwogt Netherlands
Asad Moten United States
Melanie Griffin United Kingdom
Kristin Hennenfent United States
Sylvain Poujol France
Huiyao Huang China
Gerlie Gieser United States View profile →
Citations per field, relative to Beat Flühmann
Beat Flühmann · 1×
Citations per year, relative to Beat Flühmann
Beat Flühmann · 1×

Countries citing papers authored by Beat Flühmann

Since Specialization
Citations

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

Fields of papers citing papers by Beat Flühmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beat Flühmann

This figure shows the co-authorship network connecting the top 25 collaborators of Beat Flühmann. A scholar is included among the top collaborators of Beat Flühmann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Beat Flühmann. Beat Flühmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 4
5 8
6 2
7 5
8 6
9 8
10 24
11 4
12 10
13 17
14 17
15 39
16 30
17 68
18 17
19 54
20 73

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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