Dagmar Schlenzig

27 papers receiving 1.3k citations

Peers

Dagmar Schlenzig
Comparison fields: 5 of 80
  • Cellular and Molecular Neuroscience 471
  • Endocrinology, Diabetes and Metabolism 389
  • Physiology 484
  • Oncology 346
  • Pharmacology 159
Replace Susanne Manhart with:
Susanne Manhart Canada
Chahrzad Montrose‐Rafizadeh United States
M. Zarándi Hungary
Suzanne E. Wahrle United States
Harry Wadsworth United States
Luc Mercken France
Tomiichiro Oda Japan
Andrew W. Stamford United States
Anja Rosengarth United States
Katherine A. B. Kellett United Kingdom
Dagmar Schlenzig relative to Susanne Manhart Canada Susanne Manhart's profile →
Citations per field
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Susanne Manhart · 1×
Citations per year

Countries citing papers authored by Dagmar Schlenzig

Since Specialization
Citations

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

Fields of papers citing papers by Dagmar Schlenzig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008292
2 1998226
3 2007195
4 2009165
5 201274
6 199866
7 200161
8 201636
9 201034
10 201528
11 199325
12 201721
13 201819
14 201618
15 201716
16 201813
17 202011
18 201511
19 20229
20 20189

About Dagmar Schlenzig

Dagmar Schlenzig is a scholar working on Molecular Biology, Oncology, Cellular and Molecular Neuroscience, Physiology and Endocrinology, Diabetes and Metabolism, having authored 27 papers that have together received 1.4k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (11 papers), Alzheimer's disease research and treatments (8 papers), Neuropeptides and Animal Physiology (7 papers), Diabetes Treatment and Management (6 papers), Protease and Inhibitor Mechanisms (6 papers), Protein Structure and Dynamics (4 papers), Supramolecular Self-Assembly in Materials (4 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (471 citations), Endocrinology, Diabetes and Metabolism (389 citations), Physiology (484 citations), Oncology (346 citations) and Pharmacology (159 citations). Dagmar Schlenzig has collaborated with scholars based in Germany, Canada and United States. Frequent co-authors include Hans‐Ulrich Demuth, Hans‐Ulrich Demuth, Raymond A. Pederson, Christopher H.S. McIntosh, Robert P. Pauly, Stephan Schilling, Susanne Manhart, Martin Kleinschmidt, Jens‐Ulrich Rahfeld and Gerd Hause. Their work appears in journals such as Journal of Neurochemistry, ChemMedChem, Diabetes, Nature Communications and Journal of 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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