Philipp Pfeifer

676 citations
16 papers · 529 · h-index 11

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Extracellular vesicles in disease
    • Circular RNAs in diseases
    • RNA Research and Splicing
    • RNA modifications and cancer

Papers in

Philipp Pfeifer

16 papers receiving 525 citations

Peers

Philipp Pfeifer
Comparison fields: 5 of 75
  • Cancer Research 169
  • Molecular Biology 351
  • Cardiology and Cardiovascular Medicine 113
  • Immunology 74
  • Endocrinology, Diabetes and Metabolism 45
Replace Daniel Jakubik with:
Daniel Jakubik Poland
Xiaoliang Wang United States
Xiong Jia China
Zhong’e Zhou China
Brittany Dunkerly‐Eyring United States
Sarah‐Lena Puhl Germany
Marco Sachse Germany
Hongyang Xie China
Zi-Wei Yu China
Wei Meng China
Philipp Pfeifer relative to Daniel Jakubik Poland Daniel Jakubik's profile →
Citations per field
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Daniel Jakubik · 1×
Citations per year

Countries citing papers authored by Philipp Pfeifer

Since Specialization
Citations

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

Fields of papers citing papers by Philipp Pfeifer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2016115
2 2017108
3 201370
4 201556
5 201253
6 201825
7 202020
8 200018
9 200117
10 201616
11 200215
12 20208
13 20214
14 20182
15 20181
16 20131

About Philipp Pfeifer

Philipp Pfeifer is a scholar working on Molecular Biology, Physiology, Cancer Research, Pharmacology and Cardiology and Cardiovascular Medicine, having authored 16 papers that have together received 529 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (5 papers), MicroRNA in disease regulation (4 papers), Circular RNAs in diseases (4 papers), Diet, Metabolism, and Disease (3 papers), Cannabis and Cannabinoid Research (3 papers), Pediatric health and respiratory diseases (2 papers), Cardiovascular and exercise physiology (2 papers) and Dietary Effects on Health (2 papers). The work is most often cited by research in Cancer Research (169 citations), Molecular Biology (351 citations), Cardiology and Cardiovascular Medicine (113 citations), Immunology (74 citations) and Endocrinology, Diabetes and Metabolism (45 citations). Philipp Pfeifer has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Nikos Werner, Felix Jansen, Georg Nickenig, Bernardo S. Franklin, Anna Flender, Theresa Schmitz, R. M. McAllister, Andreas Dolf, Elmar Endl and Han Wang. Their work appears in journals such as International Journal of Cardiology, European Heart Journal, PLoS ONE, Cardiovascular Diabetology and American Journal of Physiology-Endocrinology and Metabolism.

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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