Philipp Wiedemann

795 total citations
40 papers, 579 citations indexed

About

Philipp Wiedemann is a scholar working on Molecular Biology, Biomedical Engineering and Biophysics. According to data from OpenAlex, Philipp Wiedemann has authored 40 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 15 papers in Biomedical Engineering and 6 papers in Biophysics. Recurrent topics in Philipp Wiedemann's work include Viral Infectious Diseases and Gene Expression in Insects (7 papers), Fluid Dynamics and Mixing (6 papers) and Cell Image Analysis Techniques (5 papers). Philipp Wiedemann is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (7 papers), Fluid Dynamics and Mixing (6 papers) and Cell Image Analysis Techniques (5 papers). Philipp Wiedemann collaborates with scholars based in Germany, Brazil and France. Philipp Wiedemann's co-authors include Christoph Neinhuis, Hajo Suhr, Uwe Hampel, Michael Brüss, Heinz Bönisch, Eckhard Schleicher, Jobst Meyer, Tobias Werner, G. Stöber and Klaus‐Peter Lesch and has published in prestigious journals such as The Journal of Cell Biology, Scientific Reports and Journal of Neurochemistry.

In The Last Decade

Philipp Wiedemann

38 papers receiving 561 citations

Peers

Philipp Wiedemann
Comparison fields: 5 of 109
  • Molecular Biology 243
  • Biomedical Engineering 148
  • Mechanical Engineering 75
  • Genetics 70
  • Cell Biology 68
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T Peeters Belgium
Ye Jin Kim South Korea
Ken’ichi Yano Japan
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Yue Xuan Germany
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Qingnan Li China
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Mingzhu Sun China
X. Ai China
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Citations per field, relative to Philipp Wiedemann
Philipp Wiedemann · 1×
Citations per year, relative to Philipp Wiedemann
Philipp Wiedemann · 1×

Countries citing papers authored by Philipp Wiedemann

Since Specialization
Citations

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

Fields of papers citing papers by Philipp Wiedemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philipp Wiedemann

This figure shows the co-authorship network connecting the top 25 collaborators of Philipp Wiedemann. A scholar is included among the top collaborators of Philipp Wiedemann 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 Philipp Wiedemann. Philipp Wiedemann 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 1
2 3
3 5
4 3
5 1
6 2
7 10
8 10
9 28
10 34
11 22
12 20
13 8
14 24
15 9
16 18
17 29
18
Caspases are overexpressed during photoreceptor cell apoptosis in the RD and RDS mouse.
2
19 57
20 39

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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