Daniel Tietze

1.6k citations
44 papers · 986 · h-index 21

Impact in

Papers in

    • Chemical Synthesis and Analysis 9
    • Receptor Mechanisms and Signaling 6
    • Biochemical and Structural Characterization 6
    • Protein Structure and Dynamics 5
    • Nicotinic Acetylcholine Receptors Study 5
    • Advanced NMR Techniques and Applications 11

Daniel Tietze

44 papers receiving 979 citations

Peers

Daniel Tietze
Comparison fields: 5 of 97
  • Spectroscopy 253
  • Biophysics 68
  • Organic Chemistry 233
  • Inorganic Chemistry 102
  • Molecular Biology 479
Replace Casey H. Londergan with:
Casey H. Londergan United States
Julia R. Widom United States
Nicholas F. Polizzi United States
Megan C. Thielges United States
David‐Alexandre Buisson France
David Robinson United Kingdom
Zelleka Getahun United States
Steven J. Wilkens United States
Ewald Pauwels Belgium
Sylvain Clède France
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Citations per field
00.5×1.7×
Casey H. Londergan · 1×
Citations per year

Countries citing papers authored by Daniel Tietze

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Tietze

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200679
2 201266
3 201363
4 201250
5 201550
6 201648
7 201040
8 200839
9 200837
10 201436
11 201532
12 201831
13 201930
14 201330
15 201825
16 201825
17 201925
18 202024
19 201924
20 201121

About Daniel Tietze

Daniel Tietze is a scholar working on Molecular Biology, Spectroscopy, Organic Chemistry, Inorganic Chemistry and Biophysics, having authored 44 papers that have together received 986 indexed citations. Recurring topics across this work include Advanced NMR Techniques and Applications (11 papers), Chemical Synthesis and Analysis (9 papers), Metal-Catalyzed Oxygenation Mechanisms (7 papers), Receptor Mechanisms and Signaling (6 papers), Biochemical and Structural Characterization (6 papers), Electron Spin Resonance Studies (6 papers), Protein Structure and Dynamics (5 papers) and Nicotinic Acetylcholine Receptors Study (5 papers). The work is most often cited by research in Spectroscopy (253 citations), Biophysics (68 citations), Organic Chemistry (233 citations), Inorganic Chemistry (102 citations) and Molecular Biology (479 citations). Daniel Tietze has collaborated with scholars based in Germany, Sweden and United States. Frequent co-authors include Gerd Buntkowsky, Mei Hong, Alesia A. Tietze, Diana Imhof, Olga Avrutina, Harald Kolmar, Jonathan K. Williams, Jun Wang, Susann Meyer and Sven Rau. Their work appears in journals such as Chemistry - A European Journal, Angewandte Chemie International Edition, Journal of the American Chemical Society, Marine Drugs and Chemical Science.

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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