Eva Ritz

523 citations
48 papers · 361 · h-index 10

Impact in

  • Nephrology top 10%
    • Dialysis and Renal Disease Management
    • Chronic Kidney Disease and Diabetes
    • Renal Transplantation Outcomes and Treatments

Papers in

Eva Ritz

37 papers receiving 328 citations

Peers

Eva Ritz
Comparison fields: 5 of 89
  • Nephrology 90
  • Transplantation 26
  • Health Informatics 10
  • Hepatology 38
  • Clinical Biochemistry 31
Replace Ubald Assogba with:
Ubald Assogba France
H. E. Hansen Denmark
John C. L. Wang United States
J Traeger France
Josefina Santos Portugal
Fine Rn United States
Gerjan Navis Netherlands
Takeshi Tana Japan
Xiaoyi Ye United States
João Victor Salgado Brazil
Eva Ritz relative to Ubald Assogba France Ubald Assogba's profile →
Citations per field
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Citations per year

Countries citing papers authored by Eva Ritz

Since Specialization
Citations

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

Fields of papers citing papers by Eva Ritz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199970
2 198749
3
Some cardiac abnormalities in renal failure.
199737
4 200128
5 200327
6 199522
7 202414
8 198911
9 199211
10 202310
11 19737
12
Cardiac function in experimental uremia.
19837
13
Cardiovascular risk factors and cardiovascular death in haemodialysed diabetic patients.
19857
14 19736
15 20256
16 19776
17 19965
18 19774
19 19713
20 19683

About Eva Ritz

Eva Ritz is a scholar working on Nephrology, Clinical Biochemistry, Transplantation, Surgery and Endocrinology, Diabetes and Metabolism, having authored 48 papers that have together received 361 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (8 papers), Dialysis and Renal Disease Management (7 papers), Renal Transplantation Outcomes and Treatments (3 papers), Neurological and metabolic disorders (3 papers), Clinical Nutrition and Gastroenterology (2 papers), Parathyroid Disorders and Treatments (2 papers), Muscle and Compartmental Disorders (2 papers) and Pharmacological Effects and Toxicity Studies (2 papers). The work is most often cited by research in Nephrology (90 citations), Transplantation (26 citations), Health Informatics (10 citations), Hepatology (38 citations) and Clinical Biochemistry (31 citations). Eva Ritz has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Martin Zeier, Christian P. Morath, M. Zeier, Renate Seelig, Willem Geerlings, J. Bömmer, Johannes Törnig, Vedat Schwenger, Thomas Henle and Ute I. Schwarz. Their work appears in journals such as Nephrology Dialysis Transplantation, Diabetologia, BMC Health Services Research, Academy of Management Learning and Education and RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren.

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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