Ralf Schittenhelm

6.4k citations
159 papers · 4.4k · h-index 38

Impact in

    • vaccines and immunoinformatics approaches
    • Chemical Synthesis and Analysis
    • Genomics and Chromatin Dynamics

Papers in

    • Chemical Synthesis and Analysis 13
    • RNA and protein synthesis mechanisms 9
    • Mitochondrial Function and Pathology 8
    • vaccines and immunoinformatics approaches 8
    • Microbial Natural Products and Biosynthesis 23

Ralf Schittenhelm

150 papers receiving 4.4k citations

Peers

Ralf Schittenhelm
Comparison fields: 5 of 144
  • Molecular Biology 2.5k
  • Microbiology 176
  • Pharmacology 457
  • Immunology 541
  • Cell Biology 424
Replace Takeshi Matsuzawa with:
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Ming Tan China
Andrea A. Gust Germany
Édesio José Tenório de Melo Brazil
Manuel Bernal Llinares United Kingdom
Şule Yılmaz Germany
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Citations per field
00.5×2×4×6×8×9.6×
Takeshi Matsuzawa · 1×
Citations per year

Countries citing papers authored by Ralf Schittenhelm

Since Specialization
Citations

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

Fields of papers citing papers by Ralf Schittenhelm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 159 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019267
2 2020179
3 2019158
4 2019152
5 2012139
6 2017132
7 2019128
8 2015112
9 2014105
10 202092
11 200788
12 202184
13 201981
14 201075
15 202167
16 202365
17 202164
18 201962
19 201159
20 200957

About Ralf Schittenhelm

Ralf Schittenhelm is a scholar working on Molecular Biology, Pharmacology, Immunology, Cell Biology and Physiology, having authored 159 papers that have together received 4.4k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (23 papers), Chemical Synthesis and Analysis (13 papers), Adipose Tissue and Metabolism (10 papers), RNA and protein synthesis mechanisms (9 papers), Mitochondrial Function and Pathology (8 papers), Carbohydrate Chemistry and Synthesis (8 papers), vaccines and immunoinformatics approaches (8 papers) and Immunotherapy and Immune Responses (8 papers). The work is most often cited by research in Molecular Biology (2.5k citations), Microbiology (176 citations), Pharmacology (457 citations), Immunology (541 citations) and Cell Biology (424 citations). Ralf Schittenhelm has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Cheng Huang, Robert J. A. Goode, Anthony Wayne Purcell, Max J. Cryle, Anup D. Shah, Christian F. Lehner, Julien Tailhades, David Powell, Nadine L. Dudek and Terry C.C. Lim Kam Sian. Their work appears in journals such as Nature Communications, Journal of Proteome Research, Cell Reports, Science Advances and Journal of Biological 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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