Philipp Kapp

667 citations
17 papers · 445 · h-index 10

Impact in

Papers in

Philipp Kapp

15 papers receiving 429 citations

Peers

Philipp Kapp
Comparison fields: 5 of 80
  • Infectious Diseases 152
  • Sensory Systems 24
  • Neurology 72
  • Agronomy and Crop Science 27
  • Statistics, Probability and Uncertainty 14
Replace Hana Guberina with:
Hana Guberina Germany
Katina D. Hulme Australia
Martin Zickler Germany
Emily M. Whettlock United Kingdom
Kristin Greve-Isdahl Mohn Norway
Xingguang Qu China
L. Toko France
Mai-Chi Trieu Norway
Consuelo Gómez Mexico
Olivier Paccoud France
Philipp Kapp relative to Hana Guberina Germany Hana Guberina's profile →
Citations per field
00.5×2×3×4.3×
Hana Guberina · 1×
Citations per year

Countries citing papers authored by Philipp Kapp

Since Specialization
Citations

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

Fields of papers citing papers by Philipp Kapp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2021136
2 202366
3 201863
4 201945
5 202236
6 201931
7 202322
8 202117
9 202311
10 202210
11
Effect of CH-123 on vascular cholesterol deposition in experimental atherosclerosis of rabbits.
19793
12 20242
13 20251
14 20241
15 20251
16 20250
17 20260

About Philipp Kapp

Philipp Kapp is a scholar working on Infectious Diseases, Epidemiology, Sensory Systems, Information Systems and Management and Statistics, Probability and Uncertainty, having authored 17 papers that have together received 445 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (2 papers), Cervical Cancer and HPV Research (2 papers), Ethics in Clinical Research (1 paper), Milk Quality and Mastitis in Dairy Cows (1 paper), Influenza Virus Research Studies (1 paper), Academic Publishing and Open Access (1 paper), Hearing, Cochlea, Tinnitus, Genetics (1 paper) and Meta-analysis and systematic reviews (1 paper). The work is most often cited by research in Infectious Diseases (152 citations), Sensory Systems (24 citations), Neurology (72 citations), Agronomy and Crop Science (27 citations) and Statistics, Probability and Uncertainty (14 citations). Philipp Kapp has collaborated with scholars based in Germany, France and United Kingdom. Frequent co-authors include Joerg J Meerpohl, Christine M. Schmucker, Edith Motschall, Szimonetta Lohner, Daniela Kuellenberg de Gaudry, Fynn M. Hansen, Leif Erik Walther, Barbara Wollenberg, R. Schönweiler and Jan Löhler. Their work appears in journals such as Cochrane Database of Systematic Reviews, Vaccine, JAMA, Nutrition Reviews and European Archives of Oto-Rhino-Laryngology.

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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