Robert Toto

1.4k citations
16 papers · 637 · h-index 11

Impact in

Papers in

    • Diabetes Treatment and Management 5
    • Hormonal Regulation and Hypertension 4
    • Hyperglycemia and glycemic control in critically ill and hospitalized patients 1
    • Dialysis and Renal Disease Management 5
    • Chronic Kidney Disease and Diabetes 2

Robert Toto

16 papers receiving 611 citations

Peers

Robert Toto
Comparison fields: 5 of 81
  • Nephrology 260
  • Endocrinology, Diabetes and Metabolism 161
  • Cardiology and Cardiovascular Medicine 168
  • Clinical Biochemistry 28
  • Hematology 39
Replace Mina Yu with:
Mina Yu South Korea
Ziad Massy France
Junko Tatebe Japan
G. Kolsters Netherlands
Ulf Boberg Sweden
Giovanni Cerasola Italy
Gen Yasuda Japan
Markus Daschner Germany
Giacomina Loriga Italy
Svend Aage Johnsen Sweden
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Citations per field
00.5×4.6×
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Citations per year

Countries citing papers authored by Robert Toto

Since Specialization
Citations

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

Fields of papers citing papers by Robert Toto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2011174
2 200671
3 201165
4 201453
5 201253
6 200151
7 201148
8 202136
9 201531
10 202327
11 201615
12 20046
13 20234
14 20221
15 20211
16
Dyslipidemia in dialysis patients
20121

About Robert Toto

Robert Toto is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology, Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology, having authored 16 papers that have together received 637 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (5 papers), Diabetes Treatment and Management (5 papers), Dialysis and Renal Disease Management (5 papers), Hormonal Regulation and Hypertension (4 papers), Chronic Kidney Disease and Diabetes (2 papers), Renin-Angiotensin System Studies (2 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper) and Ion Transport and Channel Regulation (1 paper). The work is most often cited by research in Nephrology (260 citations), Endocrinology, Diabetes and Metabolism (161 citations), Cardiology and Cardiovascular Medicine (168 citations), Clinical Biochemistry (28 citations) and Hematology (39 citations). Robert Toto has collaborated with scholars based in United States, Denmark and Germany. Frequent co-authors include Peter Van Buren, Jula K. Inrig, Catherine Kim, Jason D. Allen, Kristin M. D’Silva, Stefan D. Anker, Moustafa Sherief Moustafa, Gerasimos Filippatos, Iain C. Macdougall and John Boletis. Their work appears in journals such as Clinical Journal of the American Society of Nephrology, American Journal of Hypertension, Nephrology Dialysis Transplantation, Current Diabetes Reviews and American Journal of Kidney Diseases.

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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