Csaba Ambrus

22 papers receiving 807 citations

Peers

Csaba Ambrus
Comparison fields: 5 of 64
  • Transplantation 84
  • Nephrology 167
  • Hematology 127
  • Experimental and Cognitive Psychology 131
  • Epidemiology 289
Replace Anett Lindner with:
Anett Lindner Hungary
Hasan Mıcozkadıoğlu Türkiye
Jin Shei Lai United States
Alan Young Australia
Colin Markland United States
Eileen Mollen United States
Junzi Shi United States
Jonathan HC Evans United Kingdom
B. Tourniaire France
P. Patapis Greece
Csaba Ambrus relative to Anett Lindner Hungary Anett Lindner's profile →
Citations per field
00.5×10×12.7×
Anett Lindner · 1×
Citations per year

Countries citing papers authored by Csaba Ambrus

Since Specialization
Citations

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

Fields of papers citing papers by Csaba Ambrus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005188
2 2007130
3 2005112
4 200992
5 200667
6 201063
7 200753
8 200549
9 200921
10 200518
11 200911
12 201311
13 19919
14 20147
15 20096
16 20113
17 20143
18 20102
19
Prevalence of bone abnormalities and soft tissue calcification and their determining factors in dialyzed patients
20121
20 20171

About Csaba Ambrus

Csaba Ambrus is a scholar working on Nephrology, Epidemiology, Hematology, Genetics and Pediatrics, Perinatology and Child Health, having authored 22 papers that have together received 849 indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (5 papers), Parathyroid Disorders and Treatments (5 papers), Restless Legs Syndrome Research (3 papers), Erythropoietin and Anemia Treatment (3 papers), Hormonal Regulation and Hypertension (1 paper), Liver Diseases and Immunity (1 paper), Acute Lymphoblastic Leukemia research (1 paper) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper). The work is most often cited by research in Transplantation (84 citations), Nephrology (167 citations), Hematology (127 citations), Experimental and Cognitive Psychology (131 citations) and Epidemiology (289 citations). Csaba Ambrus has collaborated with scholars based in Hungary, Canada and Japan. Frequent co-authors include István Mucsi, Miklos Z. Molnar, Márta Novák, Lilla Szeifert, Ádám Remport, Ágnes Zsófia Kovács, András Szentkirályi, Rezső Zoller, A Kovács and András Keszei. Their work appears in journals such as American Journal of Kidney Diseases, Nephron Clinical Practice, Journal of Psychosomatic Research, Journal of the Renin-Angiotensin-Aldosterone System 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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