E. Ritz

30 papers receiving 188 citations

Peers

E. Ritz
Comparison fields: 5 of 78
  • Nephrology 74
  • Health Informatics 7
  • Clinical Biochemistry 30
  • Transplantation 4
  • Endocrinology, Diabetes and Metabolism 23
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Fitsum Guebre-Egziabher France
Tae Yamamoto Japan
Saliha Aksun Türkiye
Zoraida Corte Spain
Katarzyna Romejko Poland
F Cantarutti Italy
Kevin M. Wheelock United States
Ewa Wojtaszek Poland
N Acquarone Italy
A. Y. T. Wu Singapore
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Citations per field
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Citations per year

Countries citing papers authored by E. Ritz

Since Specialization
Citations

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

Fields of papers citing papers by E. Ritz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198750
2
Some cardiac abnormalities in renal failure.
199734
3 200128
4 20239
5 20249
6
Cardiac function in experimental uremia.
19838
7 19737
8 19737
9 19777
10 19966
11
Cardiovascular risk factors and cardiovascular death in haemodialysed diabetic patients.
19856
12 20255
13 19775
14 19973
15 19773
16 20083
17 19713
18 19683
19
[Clinical and experimental studies on uremic gastritis].
19712
20
[Osteopathy in maintenance hemodialysis (author's transl)].
19722

About E. Ritz

E. Ritz is a scholar working on Nephrology, Clinical Biochemistry, Surgery, Endocrinology, Diabetes and Metabolism and Pathology and Forensic Medicine, having authored 43 papers that have together received 215 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (8 papers), Dialysis and Renal Disease Management (7 papers), Neurological and metabolic disorders (3 papers), Muscle and Compartmental Disorders (2 papers), Big Data and Business Intelligence (2 papers), Medical and Health Sciences Research (2 papers), Bartonella species infections research (2 papers) and Pharmacological Effects and Toxicity Studies (2 papers). The work is most often cited by research in Nephrology (74 citations), Health Informatics (7 citations), Clinical Biochemistry (30 citations), Transplantation (4 citations) and Endocrinology, Diabetes and Metabolism (23 citations). E. Ritz has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include J. Bömmer, R Seelig, W. Geerlings, Vedat Schwenger, Ute I. Schwarz, Thomas Henle, Martin Zeier, Kerstin Amann, Johannes Törnig and B. Krempien. Their work appears in journals such as Nephrology Dialysis Transplantation, Thrombosis and Haemostasis, RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, Advances in experimental medicine and biology and BMC Health Services Research.

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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