Dagmar Schlenzig

25 papers receiving 1.3k citations

Peers

Dagmar Schlenzig
Comparison fields: 5 of 70
  • Physiology 550
  • Endocrinology, Diabetes and Metabolism 255
  • Cancer Research 69
  • Cellular and Molecular Neuroscience 76
  • Pharmacology 63
Replace Susanne Manhart with:
Susanne Manhart Canada
Paola Bisignano United States
Samer O. Abdul‐Hay United States
Susan V. Pollak United States
Bryce A. Harrison United States
Jim C. Fong Taiwan
G.K.-W. Kong Australia
Juan Antonio Sánchez-Arias Spain
Brock T. Brown United States
Wuyan Chen China
Dagmar Schlenzig relative to Susanne Manhart Canada Susanne Manhart's profile →
Citations per field
00.5×1.5×2×2.3×
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 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008314
2 1998244
3 2007209
4 2009173
5 201277
6 200163
7 201045
8 201644
9 201529
10 199325
11 201722
12 201821
13 201618
14 201716
15 201813
16 201511
17 202011
18 202110
19 20189
20 20229

About Dagmar Schlenzig

Dagmar Schlenzig is a scholar working on Cancer Research, Physiology, Oncology, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 25 papers that have together received 1.4k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (8 papers), Alzheimer's disease research and treatments (7 papers), Peptidase Inhibition and Analysis (4 papers), Fungal and yeast genetics research (2 papers), Diabetes Treatment and Management (2 papers), Receptor Mechanisms and Signaling (1 paper), Pancreatic function and diabetes (1 paper) and Genetic Neurodegenerative Diseases (1 paper). The work is most often cited by research in Physiology (550 citations), Endocrinology, Diabetes and Metabolism (255 citations), Cancer Research (69 citations), Cellular and Molecular Neuroscience (76 citations) and Pharmacology (63 citations). Dagmar Schlenzig has collaborated with scholars based in Germany, Canada and Japan. Frequent co-authors include Hans‐Ulrich Demuth, Hans‐Ulrich Demuth, Christopher H.S. McIntosh, Raymond A. Pederson, Stephan Schilling, Susanne Manhart, Robert P. Pauly, Martin Kleinschmidt, Jens‐Ulrich Rahfeld and Holger Cynis. Their work appears in journals such as Journal of Neurochemistry, ChemMedChem, Bioorganic & Medicinal Chemistry, Nature Medicine and Journal of Alzheimer s Disease.

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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