Philipp Krastel

3.6k citations
32 papers · 1.2k · h-index 20

Impact in

Papers in

    • RNA and protein synthesis mechanisms 3
    • Ubiquitin and proteasome pathways 2
    • Microbial Natural Products and Biosynthesis 16

Philipp Krastel

31 papers receiving 1.1k citations

Peers

Philipp Krastel
Comparison fields: 5 of 91
  • Pharmacology 508
  • Biotechnology 144
  • Molecular Medicine 64
  • Microbiology 58
  • Molecular Biology 639
Replace E. Schmitt with:
E. Schmitt Switzerland
Shuyi Si China
Emilio Fernández Álvarez Spain
Hideaki Ui Japan
Walter M. Bray United States
Dominik Pistorius Germany
Nobuhiro Koyama Japan
Gareth A. Roberts United Kingdom
Tomoyasu Hirose Japan
László Vértesy Germany
Philipp Krastel relative to E. Schmitt Switzerland E. Schmitt's profile →
Citations per field
00.5×1.5×
E. Schmitt · 1×
Citations per year

Countries citing papers authored by Philipp Krastel

Since Specialization
Citations

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

Fields of papers citing papers by Philipp Krastel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011146
2 2009146
3 2015105
4 200880
5 200167
6 200265
7 200258
8 200051
9 201144
10 200239
11 200637
12 201134
13 201230
14 201028
15 201126
16 201026
17 201724
18 202120
19 201520
20 201819

About Philipp Krastel

Philipp Krastel is a scholar working on Molecular Biology, Pharmacology, Organic Chemistry, Infectious Diseases and Computational Theory and Mathematics, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (16 papers), Computational Drug Discovery Methods (4 papers), Insect symbiosis and bacterial influences (4 papers), Tuberculosis Research and Epidemiology (3 papers), RNA and protein synthesis mechanisms (3 papers), Ubiquitin and proteasome pathways (2 papers), Plant and fungal interactions (2 papers) and Antimicrobial Peptides and Activities (2 papers). The work is most often cited by research in Pharmacology (508 citations), Biotechnology (144 citations), Molecular Medicine (64 citations), Microbiology (58 citations) and Molecular Biology (639 citations). Philipp Krastel has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Axel Zeeck, E. Schmitt, Hans‐Peter Fiedler, Klaus Gebhardt, Jennifer A. Leeds, Joachim Rheinheimer, Frank Petersen, Carsten Puder, Christian N. Parker and Konrad Dettner. Their work appears in journals such as The Journal of Antibiotics, Journal of Medicinal Chemistry, Nature Chemical Biology, Angewandte Chemie International Edition and Future Medicinal Chemistry.

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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