Judit Nagy

5.3k citations
176 papers · 2.7k indexed · h-index 27

Impact in

  • Nephrology top 0.5%
    • Renal Diseases and Glomerulopathies
    • Chronic Kidney Disease and Diabetes
    • Dialysis and Renal Disease Management
    • Advanced Glycation End Products research

Papers in

    • Renal Diseases and Glomerulopathies 54
    • Chronic Kidney Disease and Diabetes 19
    • Dialysis and Renal Disease Management 11
    • Advanced Glycation End Products research 8

Judit Nagy

159 papers receiving 2.6k citations

Peers

Judit Nagy
Comparison fields: 5 of 149
  • Nephrology 726
  • Clinical Biochemistry 210
  • Transplantation 62
  • Gastroenterology 89
  • Hematology 165
Replace John M. Arthur with:
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Citations per field
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Citations per year

Countries citing papers authored by Judit Nagy

Since Specialization
Citations

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

Fields of papers citing papers by Judit Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20244
2 20232
3 20233
4 20150
5 201412
6 201016
7 201017
8 201098
9 201022
10 200814
11 20072
12 200665
13 200544
14 20019
15
[Forecasting the number of patients with end-stage renal disease (Model of the system)].
20002
16 20001
17 200020
18 199117
19
QUANTUMCHEMICAL CALCULATIONS ON ORGANOSILICON RADICALS IV. PENTAMETHYLDISILANE AND TETRAMETHYLDISILANE RADICALS
19781
20
Membraneous glomerulonephritis induced by HB (Australia) antigen-antibody complexes.
19761

About Judit Nagy

Judit Nagy is a scholar working on Nephrology, Clinical Biochemistry, Hematology, Transplantation and Rheumatology, having authored 176 papers that have together received 2.7k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (54 papers), Chronic Kidney Disease and Diabetes (19 papers), Dialysis and Renal Disease Management (11 papers), Renal and Vascular Pathologies (8 papers), Advanced Glycation End Products research (8 papers), Systemic Lupus Erythematosus Research (7 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (7 papers) and Platelet Disorders and Treatments (6 papers). The work is most often cited by research in Nephrology (726 citations), Clinical Biochemistry (210 citations), Transplantation (62 citations), Gastroenterology (89 citations) and Hematology (165 citations). Judit Nagy has collaborated with scholars based in Hungary, United Kingdom and United States. Frequent co-authors include Cleo Kontoravdi, Ioscani Jiménez del Val, István Wittmann, Katherine A. Brown, Anthony E. G. Cass, P Brandtzæg, Zoltán Wagner, Tibor Kovács, Brigitte Jamart‐Grégoire and Garabed Eknoyan. Their work appears in journals such as Nephrology Dialysis Transplantation, International Journal of Molecular Sciences, American Journal of Nephrology, BMC Nephrology and Biochemical Society Transactions.

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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