Daniel Teta

8.7k citations
56 papers · 5.6k indexed · 4 hit papers · h-index 21

Daniel Teta

50 papers receiving 5.4k citations

Hit Papers

KDOQI Clinical Practice Guideline for N...1.1k201320262017202150010001.5k

Peers

Daniel Teta
Comparison fields: 5 of 131
  • Nephrology 1.7k
  • Physiology 3.6k
  • Geriatrics and Gerontology 509
  • Cell Biology 1.0k
  • Nutrition and Dietetics 896
Replace Carla María Avesani with:
Carla María Avesani Sweden
Robert D. Lindeman United States
Lílian Cuppari Brazil
Adamasco Cupisti Italy
Boyd J. Strauss Australia
Marcello Maggio Italy
Noël Cano France
Robert R. McLean United States
Rachelle Bross United States
S.P. Allison United Kingdom
Daniel Teta relative to Carla María Avesani Sweden Carla María Avesani's profile →
Citations per field
00.5×5.3×
Carla María Avesani · 1×
Citations per year

Countries citing papers authored by Daniel Teta

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Teta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20246
3 20214
4 20213
5 202011
6 2017117
7 201711
8 201777
9 201713
10 201444
11
Prevention and treatment of protein energy wasting in chronic kidney disease patients: a consensus statement by the International Society of Renal Nutrition and Metabolismbreakdown →
2013487
12 201140
13 201129
14 201127
15 2011132
16 201016
17 200845
18 20082
19 20081
20 20080

About Daniel Teta

Daniel Teta is a scholar working on Nephrology, Endocrine and Autonomic Systems, Physiology, Hematology and Physical Therapy, Sports Therapy and Rehabilitation, having authored 56 papers that have together received 5.6k indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (24 papers), Muscle and Compartmental Disorders (9 papers), Nutrition and Health in Aging (9 papers), Regulation of Appetite and Obesity (6 papers), Renal Diseases and Glomerulopathies (5 papers), Erythropoietin and Anemia Treatment (5 papers), Clinical Nutrition and Gastroenterology (5 papers) and Adipose Tissue and Metabolism (5 papers). The work is most often cited by research in Nephrology (1.7k citations), Physiology (3.6k citations), Geriatrics and Gerontology (509 citations), Cell Biology (1.0k citations) and Nutrition and Dietetics (896 citations). Daniel Teta has collaborated with scholars based in Switzerland, France and Sweden. Frequent co-authors include Alfonso J. Cruz‐Jentoft, Gianni Biolo, Yves Boirie‌, Tommy Cederholm, Denis Fouque, Renuka Visvanathan, John E. Morley, Jürgen Bauer, Cornel Sieber and Elena Volpi. Their work appears in journals such as Nephrology Dialysis Transplantation, Journal of Renal Nutrition, BioMed Research International, Clinical Science and BMC Nephrology.

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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