Ewa Wątorek

492 citations
28 papers · 382 indexed · h-index 12

Impact in

Papers in

Ewa Wątorek

27 papers receiving 373 citations

Peers

Ewa Wątorek
Comparison fields: 5 of 62
  • Transplantation 82
  • Emergency Medical Services 120
  • Nephrology 89
  • Pulmonary and Respiratory Medicine 144
  • Oncology 88
Replace Zbigniew Gałązka with:
Zbigniew Gałązka Poland
Sławomir Zmonarski Poland
Yudo Tanno Japan
Miha Arnol Slovenia
Diana Carretero Spain
Bernardo Faria Portugal
Elisabeth Dittrich Austria
Georgios Vrakas United Kingdom
P Navrátil Czechia
Donata Cresseri Italy
Ewa Wątorek relative to Zbigniew Gałązka Poland Zbigniew Gałązka's profile →
Citations per field
00.5×5.5×
Zbigniew Gałązka · 1×
Citations per year

Countries citing papers authored by Ewa Wątorek

Since Specialization
Citations

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

Fields of papers citing papers by Ewa Wątorek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20164
2 20140
3 20142
4 201211
5 20118
6 201121
7 20106
8 20094
9
[Physical exercise in the rehabilitation of dialysis patients].
20095
10 200822
11
Anti-Fya antibodies as the cause of an unfortunate post-transplant course in renal transplant recipient.
20085
12 200714
13 200747
14 200718
15 200727
16 200611
17 200640
18 20068
19 200311
20
Wegener's granulomatosis--autoimmunity to neutrophil proteinase 3.
20031

About Ewa Wątorek

Ewa Wątorek is a scholar working on Transplantation, Emergency Medical Services, Nephrology, Complementary and Manual Therapy and Pulmonary and Respiratory Medicine, having authored 28 papers that have together received 382 indexed citations. Recurring topics across this work include Central Venous Catheters and Hemodialysis (11 papers), Vascular Procedures and Complications (8 papers), Renal Transplantation Outcomes and Treatments (6 papers), Dialysis and Renal Disease Management (6 papers), Vascular anomalies and interventions (3 papers), Polyomavirus and related diseases (3 papers), Viral-associated cancers and disorders (3 papers) and Renal and Vascular Pathologies (3 papers). The work is most often cited by research in Transplantation (82 citations), Emergency Medical Services (120 citations), Nephrology (89 citations), Pulmonary and Respiratory Medicine (144 citations) and Oncology (88 citations). Ewa Wątorek has collaborated with scholars based in Poland, Austria and Switzerland. Frequent co-authors include Marian Klinger, Maria Boratyńska, Leszek Patrzałek, Mirosław Banasik, Mariusz Kusztal, Wacław Weyde, P Szyber, Katarzyna Madziarska, Magdalena Krajewska and Tomasz Gołębiowski. Their work appears in journals such as Journal of Nephrology, Clinical Kidney Journal, Archivum Immunologiae et Therapiae Experimentalis, Clinical Nephrology and Applied Artificial Intelligence.

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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