Philipp Zickler

808 total citations
20 papers, 345 citations indexed

About

Philipp Zickler is a scholar working on Epidemiology, Rehabilitation and Molecular Biology. According to data from OpenAlex, Philipp Zickler has authored 20 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 7 papers in Rehabilitation and 5 papers in Molecular Biology. Recurrent topics in Philipp Zickler's work include Acute Ischemic Stroke Management (8 papers), Stroke Rehabilitation and Recovery (7 papers) and Virus-based gene therapy research (3 papers). Philipp Zickler is often cited by papers focused on Acute Ischemic Stroke Management (8 papers), Stroke Rehabilitation and Recovery (7 papers) and Virus-based gene therapy research (3 papers). Philipp Zickler collaborates with scholars based in Germany, United States and Chile. Philipp Zickler's co-authors include Patrick Küry, Sebastian Jander, John F. Tisdale, Michael Ertl, Jakob Linseisen, Christa Meisinger, Markus Naumann, Hans‐Peter Hartung, Robert E. Donahue and James D. Malley and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Philipp Zickler

19 papers receiving 337 citations

Peers

Philipp Zickler
Comparison fields: 5 of 63
  • Molecular Biology 145
  • Genetics 104
  • Epidemiology 63
  • Surgery 47
  • Rehabilitation 45
Replace Melissa Passino with:
Melissa Passino United States
Chanhung Z. Lee United States
Júlia Daher Carneiro Marsiglia Brazil
Qingqing Sun China
Takahito Niiyama Japan
Maria-Cecilia Lopez United States
C Pafumi Italy
Zhyldyz Kabaeva United States
Eishin Nakamura Japan
Elena Vassallo Italy
Melissa Passino United States View profile →
Citations per field, relative to Philipp Zickler
Philipp Zickler · 1×
Citations per year, relative to Philipp Zickler
Philipp Zickler · 1×

Countries citing papers authored by Philipp Zickler

Since Specialization
Citations

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

Fields of papers citing papers by Philipp Zickler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philipp Zickler

This figure shows the co-authorship network connecting the top 25 collaborators of Philipp Zickler. A scholar is included among the top collaborators of Philipp Zickler 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 Zickler. Philipp Zickler 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 1
3 13
4 3
5 5
6 5
7 10
8 4
9 18
10 11
11 15
12 6
13 11
14 46
15 47
16 4
17 27
18 25
19 90
20 4

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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