Markus Daschner

12 papers receiving 446 citations

Peers

Markus Daschner
Comparison fields: 5 of 69
  • Nephrology 121
  • Endocrinology, Diabetes and Metabolism 194
  • Biochemistry 31
  • Clinical Biochemistry 28
  • Emergency Medical Services 27
Replace Mehul Dixit with:
Mehul Dixit United States
Kazuhiro Nako Japan
Josep Galcerán Spain
Xinqun Hu United States
Minolfa C. Prieto‐Carrasquero United States
P. G. Matthews Australia
Toru Dejima Japan
Kiran Chandrashekar United States
Shahla Riazi United States
György Ábrahám Hungary
Markus Daschner relative to Mehul Dixit United States Mehul Dixit's profile →
Citations per field
00.5×4.8×
Mehul Dixit · 1×
Citations per year

Countries citing papers authored by Markus Daschner

Since Specialization
Citations

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

Fields of papers citing papers by Markus Daschner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2003228
2 199690
3 200028
4 200227
5 200124
6 199417
7 200513
8 200212
9 200511
10 20028
11 20027
12 20052

About Markus Daschner

Markus Daschner is a scholar working on Social Psychology, Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine, Nephrology and Pathology and Forensic Medicine, having authored 12 papers that have together received 467 indexed citations. Recurring topics across this work include Electrolyte and hormonal disorders (3 papers), Neuroendocrine regulation and behavior (3 papers), Neonatal Health and Biochemistry (2 papers), Stress Responses and Cortisol (2 papers), Dialysis and Renal Disease Management (2 papers), Ovarian function and disorders (2 papers), Pancreatic function and diabetes (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Nephrology (121 citations), Endocrinology, Diabetes and Metabolism (194 citations), Biochemistry (31 citations), Clinical Biochemistry (28 citations) and Emergency Medical Services (27 citations). Markus Daschner has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Otto Mehls, Franz Schaefer, Martin Bald, S. Li Volti, Dan A. Klærke, Thomas J. Neuhaus, Martina Kinner, René Santer, Reinhard Schneppenheim and Flemming Skovby. Their work appears in journals such as Journal of the American Society of Nephrology, Kidney International, International Journal for Vitamin and Nutrition Research, European Journal of Human Genetics and Nephrology Dialysis Transplantation.

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.

Explore authors with similar magnitude of impact