Philipp Kanis

422 citations
8 papers · 226 · h-index 5

Impact in

Papers in

    • CRISPR and Genetic Engineering 4
    • Advanced biosensing and bioanalysis techniques 2
    • RNA Interference and Gene Delivery 2
    • RNA regulation and disease 2
    • RNA and protein synthesis mechanisms 1
    • SARS-CoV-2 and COVID-19 Research 1

Philipp Kanis

6 papers receiving 221 citations

Peers

Philipp Kanis
Comparison fields: 5 of 47
  • Business and International Management 21
  • Aging 18
  • Molecular Biology 193
  • Developmental Neuroscience 9
  • Genetics 41
Replace Kepin Wang with:
Kepin Wang China
Monica F. Sentmanat United States
Judith Gallant United States
Cidi Chen United States
Giulia I. Corsi Denmark
Sannie J. Culbertson United States
Charles A. Gersbach United States
Chih-Chung Kuo United States
Tanja Rothgangl Switzerland
David J Menn United States
Philipp Kanis relative to Kepin Wang China Kepin Wang's profile →
Citations per field
00.5×3.7×
Kepin Wang · 1×
Citations per year

Countries citing papers authored by Philipp Kanis

Since Specialization
Citations

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

Fields of papers citing papers by Philipp Kanis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 201980
2 202258
3 202346
4 202230
5 202011
6 20251
7 20250
8 20250

About Philipp Kanis

Philipp Kanis is a scholar working on Molecular Biology, Infectious Diseases, Nephrology, Cell Biology and Physiology, having authored 8 papers that have together received 226 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), Advanced biosensing and bioanalysis techniques (2 papers), RNA Interference and Gene Delivery (2 papers), RNA regulation and disease (2 papers), Renal Diseases and Glomerulopathies (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), RNA and protein synthesis mechanisms (1 paper) and Complement system in diseases (1 paper). The work is most often cited by research in Business and International Management (21 citations), Aging (18 citations), Molecular Biology (193 citations), Developmental Neuroscience (9 citations) and Genetics (41 citations). Philipp Kanis has collaborated with scholars based in Germany, Japan and Sweden. Frequent co-authors include Svante Pääbo, Tomislav Maričić, Stephan Riesenberg, Manjusha Chintalapati, Damian Wollny, Wieland Β. Huttner, Lei Xing, Jula Peters, Sylke Winkler and Christiane Haffner. Their work appears in journals such as Nature Communications, Nature Methods, Science Advances, Nucleic Acids Research 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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