Daniel Gottstein

444 citations
8 papers · 389 · h-index 7

Impact in

Papers in

    • Advanced NMR Techniques and Applications 2
    • Protein Structure and Dynamics 3
    • RNA and protein synthesis mechanisms 1
    • Receptor Mechanisms and Signaling 1

Daniel Gottstein

8 papers receiving 359 citations

Peers

Daniel Gottstein
Comparison fields: 5 of 30
  • Spectroscopy 113
  • Cellular and Molecular Neuroscience 63
  • Molecular Biology 183
  • Microbiology 15
  • Pharmacology 33
Replace Erik T. Jansson with:
Erik T. Jansson Sweden
Phanindra Velisetty United States
Eve Mahé France
Steven D. Heck United States
Tatiana Didenko United States
Muthu Dhanasekaran United States
Ravil R. Petrov United States
Hiroaki Yamada Japan
Elaine J. Adie United Kingdom
Daniel Friedrich Germany
Daniel Gottstein relative to Erik T. Jansson Sweden Erik T. Jansson's profile →
Citations per field
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Erik T. Jansson · 1×
Citations per year

Countries citing papers authored by Daniel Gottstein

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Gottstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2011179
2 201068
3 201238
4 201131
5 201224
6 201423
7 201220
8 20166

About Daniel Gottstein

Daniel Gottstein is a scholar working on Spectroscopy, Molecular Biology, Microbiology, Pharmacology and Cellular and Molecular Neuroscience, having authored 8 papers that have together received 389 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (3 papers), Advanced NMR Techniques and Applications (2 papers), Antimicrobial Peptides and Activities (1 paper), Photoreceptor and optogenetics research (1 paper), RNA and protein synthesis mechanisms (1 paper), Receptor Mechanisms and Signaling (1 paper), Alzheimer's disease research and treatments (1 paper) and Microbial Natural Products and Biosynthesis (1 paper). The work is most often cited by research in Spectroscopy (113 citations), Cellular and Molecular Neuroscience (63 citations), Molecular Biology (183 citations), Microbiology (15 citations) and Pharmacology (33 citations). Daniel Gottstein has collaborated with scholars based in Germany, Japan and United States. Frequent co-authors include Peter Güntert, Volker Dötsch, Sina Reckel, Frank Löhr, Frank Bernhard, Mitsuhiro Takeda, Masatsune Kainosho, Clemens Glaubitz, Harald Schwalbe and Robert Silvers. Their work appears in journals such as Journal of Biological Chemistry, Journal of Biomolecular NMR, Structure, RNA and Proceedings of the National Academy of Sciences.

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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