Éva Csajbók

708 citations
25 papers · 291 · h-index 8

Impact in

Papers in

Éva Csajbók

23 papers receiving 287 citations

Peers

Éva Csajbók
Comparison fields: 5 of 57
  • Transplantation 31
  • Endocrine and Autonomic Systems 58
  • Neurology 31
  • Endocrinology, Diabetes and Metabolism 58
  • Physiology 75
Replace Uta‐Carolin Pietsch with:
Uta‐Carolin Pietsch Germany
Azucena L. Alvarez Argentina
Eun‐Kee Bae South Korea
Laurie Davis United States
Miho Hamada Japan
Akio Miyoshi Japan
Adam S. Budzikowski United States
Mirjana Stojiljković Serbia
Jesper Kelsen Denmark
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Citations per field
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Citations per year

Countries citing papers authored by Éva Csajbók

Since Specialization
Citations

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

Fields of papers citing papers by Éva Csajbók

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014104
2 201653
3 199123
4 201520
5 201719
6 200719
7 199914
8 201913
9 20126
10
Comparative distribution of laminin and collagen types I, III and IV in transplant vasculopathy.
19913
11 20252
12 20212
13 20062
14
[Endoscopic, posterior transseptal pituitary surgery--learning curve of the surgical technique and equipment in 61 operations].
20122
15 20241
16 20251
17 20031
18 19951
19
[Recurrence of focal sclerosing glomerulonephritis in the kidney graft].
19891
20
[Odontoidectomy in the treatment of medically refractory, neurogenic hypertension].
20031

About Éva Csajbók

Éva Csajbók is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience, Neurology and Cognitive Neuroscience, having authored 25 papers that have together received 291 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Pancreatic function and diabetes (4 papers), Pituitary Gland Disorders and Treatments (4 papers), Neural dynamics and brain function (4 papers), Systemic Sclerosis and Related Diseases (3 papers), Diabetes Management and Research (2 papers), Cardiovascular Disease and Adiposity (2 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Transplantation (31 citations), Endocrine and Autonomic Systems (58 citations), Neurology (31 citations), Endocrinology, Diabetes and Metabolism (58 citations) and Physiology (75 citations). Éva Csajbók has collaborated with scholars based in Hungary, Israel and Netherlands. Frequent co-authors include Gábor Tamás, Gábor Molnár, Nóra Faragó, Ágnes K. Kocsis, Sándor Lovas, László G. Puskás, Rita Báldi, János Gardi, Márton Rózsa and J Ormos. Their work appears in journals such as eLife, Diabetologia, Journal of Neuroscience, Transplant International and International journal of cardiac imaging.

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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