Philipp Pfeifer

684 citations
18 papers · 549 · 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 543 citations

Peers

Philipp Pfeifer
Comparison fields: 5 of 75
  • Cancer Research 149
  • Molecular Biology 325
  • Cardiology and Cardiovascular Medicine 96
  • Immunology 68
  • Endocrinology, Diabetes and Metabolism 39
Replace Fuqin Tang with:
Fuqin Tang China
Daniel Jakubik Poland
Xiong Jia China
Xiaoliang Wang United States
Wilfredo Oliva‐Olivera Spain
Xueping Zhu China
Ben He China
Mitchell Bijnen Netherlands
Sara A. Murphy United States
Marco Sachse Germany
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Citations per field
00.5×10×20×27.5×
Fuqin Tang · 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

18 of 18 papers shown
#Work
1 2016116
2 2017112
3 201375
4 201257
5 201557
6 201827
7 202021
8 200117
9 200017
10 201616
11 200216
12 20209
13 20215
14 20182
15 20181
16 20131
17 20170
18 20230

About Philipp Pfeifer

Philipp Pfeifer is a scholar working on Molecular Biology, Pharmacology, Cardiology and Cardiovascular Medicine, Physiology and Immunology, having authored 18 papers that have together received 549 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (6 papers), Cannabis and Cannabinoid Research (3 papers), Pediatric health and respiratory diseases (2 papers), Nitric Oxide and Endothelin Effects (1 paper), Cardiovascular and exercise physiology (1 paper), Liver Disease and Transplantation (1 paper), Hepatitis B Virus Studies (1 paper) and Muscle Physiology and Disorders (1 paper). The work is most often cited by research in Cancer Research (149 citations), Molecular Biology (325 citations), Cardiology and Cardiovascular Medicine (96 citations), Immunology (68 citations) and Endocrinology, Diabetes and Metabolism (39 citations). Philipp Pfeifer has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Felix Jansen, Nikos Werner, Georg Nickenig, Theresa Schmitz, Bernardo S. Franklin, Anna Flender, R. M. McAllister, Han Wang, Elmar Endl and Andreas Dolf. Their work appears in journals such as European Heart Journal, International Journal of Cardiology, PLoS ONE, Journal of Molecular and Cellular Cardiology and Medicine & Science in Sports & Exercise.

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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