Daniel Levitan

960 citations
21 papers · 625 · h-index 9

Impact in

Papers in

    • Renal Diseases and Glomerulopathies 3
    • Renal function and acid-base balance 3
    • Chronic Kidney Disease and Diabetes 1

Daniel Levitan

18 papers receiving 581 citations

Peers

Daniel Levitan
Comparison fields: 5 of 77
  • Nephrology 123
  • Nutrition and Dietetics 180
  • Cardiology and Cardiovascular Medicine 242
  • Obstetrics and Gynecology 50
  • Endocrinology, Diabetes and Metabolism 113
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Yeong Hann Ling Australia
Vito M. Campese United States
Rodrigo O. Marañón United States
U. Fox Italy
H. G. Langford United States
J W DeClue United States
Walter M. van der Merwe New Zealand
NirmalaD. Markandu United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Levitan

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Levitan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982263
2 1981201
3 202148
4 200820
5 200816
6 198115
7 200813
8 197711
9 20088
10 20206
11 20166
12 20164
13 20193
14 20213
15 19823
16 20082
17 20222
18 20081
19 20080
20 20080

About Daniel Levitan

Daniel Levitan is a scholar working on Nephrology, Oncology, Endocrinology, Diabetes and Metabolism, Genetics and Cardiology and Cardiovascular Medicine, having authored 21 papers that have together received 625 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (3 papers), Renal Diseases and Glomerulopathies (3 papers), Renal function and acid-base balance (3 papers), Sodium Intake and Health (2 papers), Electrolyte and hormonal disorders (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Heart Rate Variability and Autonomic Control (2 papers) and Chronic Kidney Disease and Diabetes (1 paper). The work is most often cited by research in Nephrology (123 citations), Nutrition and Dietetics (180 citations), Cardiology and Cardiovascular Medicine (242 citations), Obstetrics and Gynecology (50 citations) and Endocrinology, Diabetes and Metabolism (113 citations). Daniel Levitan has collaborated with scholars based in United States. Frequent co-authors include Shaul G. Massry, Vito M. Campese, Mark S. Romoff, Robert M. Friedler, David A. Goldstein, Sandra McCalla, Rodney A. McLaren, Michael Silver, Jonathan I. Macy and Ke Cheng. Their work appears in journals such as American Journal of Nephrology, ˜The œNephron journals/Nephron journals, Kidney International, American Journal of Clinical Pathology and Pediatric and Developmental Pathology.

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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