B. Erbay

569 citations
20 papers · 401 · h-index 11

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Nephrology top 5%
    • Dialysis and Renal Disease Management
    • Renal function and acid-base balance

Papers in

B. Erbay

20 papers receiving 384 citations

Peers

B. Erbay
Comparison fields: 5 of 62
  • Transplantation 69
  • Nephrology 124
  • Cardiology and Cardiovascular Medicine 87
  • Epidemiology 124
  • Hepatology 27
Replace Stephen D. Migdal with:
Stephen D. Migdal United States
G. Chong France
Giovanna Como Italy
Annick Massart Belgium
Paungpaga Lertdumrongluk Thailand
Mark Mentser United States
Rosalía Valero Spain
Evaldo Favi Italy
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B. Erbay relative to Stephen D. Migdal United States Stephen D. Migdal's profile →
Citations per field
00.5×10×13×
Stephen D. Migdal · 1×
Citations per year

Countries citing papers authored by B. Erbay

Since Specialization
Citations

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

Fields of papers citing papers by B. Erbay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 200768
2 200353
3 199652
4 200742
5 200635
6 200625
7 200423
8 201323
9 200618
10 199914
11
Carotid intima-media thickness and ACE-gene polymorphism in hemodialysis patients.
199913
12
The effect of cyclosporine in idiopathic nephrotic syndrome resistant to immunosuppressive therapy.
19888
13 20137
14 20096
15 20003
16 20133
17 19962
18 20052
19 20062
20 20052

About B. Erbay

B. Erbay is a scholar working on Cardiology and Cardiovascular Medicine, Nephrology, Surgery, Epidemiology and Transplantation, having authored 20 papers that have together received 401 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (4 papers), Blood Pressure and Hypertension Studies (4 papers), Global Maternal and Child Health (2 papers), Renal function and acid-base balance (2 papers), Reproductive Health and Contraception (2 papers), Renal Diseases and Glomerulopathies (2 papers), Cytomegalovirus and herpesvirus research (2 papers) and Electrolyte and hormonal disorders (2 papers). The work is most often cited by research in Transplantation (69 citations), Nephrology (124 citations), Cardiology and Cardiovascular Medicine (87 citations), Epidemiology (124 citations) and Hepatology (27 citations). B. Erbay has collaborated with scholars based in Türkiye, Iran and United States. Frequent co-authors include Şule Şengül, Kenan Keven, Sim Kutlay, Zeki Soypaçacı, İhsan Ergün, Başol Canbakan, Neval Duman, Mustafa Şahi̇n, Oktay Karatan and A. E. Ertug. Their work appears in journals such as Nephrology Dialysis Transplantation, Transplantation Proceedings, The European Journal of Contraception & Reproductive Health Care, American Journal of Hypertension and International Journal of Gynecology & Obstetrics.

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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