Ivan D. Maya

1.9k citations
39 papers · 1.3k · h-index 20

Impact in

    • Central Venous Catheters and Hemodialysis
  • Nephrology top 1%
    • Dialysis and Renal Disease Management
    • Acute Kidney Injury Research
    • Renal Diseases and Glomerulopathies

Papers in

Ivan D. Maya

39 papers receiving 1.2k citations

Peers

Ivan D. Maya
Comparison fields: 5 of 70
  • Emergency Medical Services 1.0k
  • Nephrology 616
  • Pulmonary and Respiratory Medicine 868
  • Internal Medicine 51
  • Surgery 356
Replace Jill Barker with:
Jill Barker United States
Theodore F. Saad United States
Ingemar Davidson United States
Baruch J. Hurwich Israel
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Christine Dipchand Canada
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Ivan D. Maya relative to Jill Barker United States Jill Barker's profile →
Citations per field
00.5×1.5×1.9×
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Citations per year

Countries citing papers authored by Ivan D. Maya

Since Specialization
Citations

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

Fields of papers citing papers by Ivan D. Maya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan D. Maya. 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 Ivan D. Maya. The network helps show where Ivan D. Maya may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011183
2 200891
3 200584
4 200781
5 200770
6 200470
7 200954
8 200752
9 200452
10 201049
11 200944
12 201642
13 200940
14 200735
15 200832
16 200826
17 200826
18 200725
19 201221
20 201020

About Ivan D. Maya

Ivan D. Maya is a scholar working on Emergency Medical Services, Pulmonary and Respiratory Medicine, Nephrology, Surgery and Epidemiology, having authored 39 papers that have together received 1.3k indexed citations. Recurring topics across this work include Central Venous Catheters and Hemodialysis (34 papers), Vascular Procedures and Complications (28 papers), Dialysis and Renal Disease Management (12 papers), Vascular anomalies and interventions (6 papers), Infective Endocarditis Diagnosis and Management (5 papers), Peripheral Artery Disease Management (4 papers), Renal and Vascular Pathologies (4 papers) and Renal Diseases and Glomerulopathies (2 papers). The work is most often cited by research in Emergency Medical Services (1.0k citations), Nephrology (616 citations), Pulmonary and Respiratory Medicine (868 citations), Internal Medicine (51 citations) and Surgery (356 citations). Ivan D. Maya has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Michael Allon, Souheil Saddekni, Jill Barker, Michele H. Mokrzycki, Louise Moist, Charmaine E. Lok, Timmy Lee, Miguel Vazquez, Carlton J. Young and Donna Carlton. Their work appears in journals such as Seminars in Dialysis, American Journal of Kidney Diseases, Clinical Journal of the American Society of Nephrology, Journal of Vascular and Interventional Radiology and Advances in Chronic Kidney Disease.

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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