Anja Schweizer

11.7k citations
114 papers · 9.6k indexed · 2 hit papers · h-index 53

Anja Schweizer

113 papers receiving 9.3k citations

Hit Papers

Inhibition of Dipeptidyl Peptidase-4 Reduces Glycemia...6071990202620022014250500750

Peers

Anja Schweizer
Comparison fields: 5 of 130
  • Endocrinology, Diabetes and Metabolism 5.2k
  • Cell Biology 2.0k
  • Oncology 1.7k
  • Molecular Biology 4.2k
  • Surgery 2.7k
Replace John A. Glomset with:
John A. Glomset United States
Hiroshi Ikegami Japan
Susan Acton United States
Wendy Jessup Australia
Claus Hellerbrand Germany
David P. Hajjar United States
R. Daniel Beauchamp United States
Norifumi Kawada Japan
Ashok K. Saluja United States
Charalampos Aslanidis Germany
Anja Schweizer relative to John A. Glomset United States John A. Glomset's profile →
Citations per field
00.5×3.8×
John A. Glomset · 1×
Citations per year

Countries citing papers authored by Anja Schweizer

Since Specialization
Citations

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

Fields of papers citing papers by Anja Schweizer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20255
3 20242
4 20244
5 20233
6 20229
7 202125
8 201546
9 201413
10 201326
11 201217
12 2011136
13 20086
14 2008109
15 2007314
16 2006241
17 200511
18
Inhibition of Dipeptidyl Peptidase-4 Reduces Glycemia, Sustains Insulin Levels, and Reduces Glucagon Levels in Type 2 Diabetesbreakdown →
2004607
19 199973
20 199535

About Anja Schweizer

Anja Schweizer is a scholar working on Endocrinology, Diabetes and Metabolism, Family Practice and Cell Biology, having authored 114 papers that have together received 9.6k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (58 papers), Pancreatic function and diabetes (27 papers), Diabetes Management and Research (23 papers), Metabolism, Diabetes, and Cancer (21 papers), Cellular transport and secretion (19 papers), Peptidase Inhibition and Analysis (16 papers), Heart Failure Treatment and Management (15 papers) and Cardiovascular Function and Risk Factors (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (5.2k citations), Cell Biology (2.0k citations) and Oncology (1.7k citations). Anja Schweizer has collaborated with scholars based in Switzerland, United States and Sweden. Frequent co-authors include S. Dejager, James E. Foley, Bo Åhrén, David Mills, Jack Rohrer, Hans-Peter Hauri, Stuart Kornfeld, Michelle A. Baron, H P Hauri and Jennifer Lippincott-Schwartz. Their work appears in journals such as Diabetes Obesity and Metabolism, Vascular Health and Risk Management, The Journal of Clinical Endocrinology & Metabolism, The Journal of Cell Biology and European Journal of Heart Failure.

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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