C Dolisi

704 citations
41 papers · 527 · h-index 13

Impact in

Papers in

C Dolisi

38 papers receiving 489 citations

Peers

C Dolisi
Comparison fields: 5 of 84
  • Cognitive Neuroscience 140
  • Rehabilitation 39
  • Orthopedics and Sports Medicine 49
  • Complementary and alternative medicine 47
  • Endocrinology, Diabetes and Metabolism 62
Replace D. M. Koceja with:
D. M. Koceja United States
Kurt Jørgensen Denmark
Thompson Pd Australia
Karl G. Henriksson Sweden
Gabriella Marsala Italy
G D Wheeler Canada
Manda L. Keller‐Ross United States
Michele Gallamini Italy
Nise Ribeiro Marques Brazil
Bente R. Jensen Denmark
C Dolisi relative to D. M. Koceja United States D. M. Koceja's profile →
Citations per field
00.5×4.8×
D. M. Koceja · 1×
Citations per year

Countries citing papers authored by C Dolisi

Since Specialization
Citations

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

Fields of papers citing papers by C Dolisi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200097
2 200158
3 200355
4 199133
5 200025
6 199923
7 199421
8
[Spontaneous feeding behavior of dogs].
197420
9 199418
10 199617
11 198117
12 199314
13
Effects of strength exercise and training on the natural killer cell counts in elderly humans.
200113
14 199912
15 199512
16 199411
17 199510
18 199310
19 19989
20 19909

About C Dolisi

C Dolisi is a scholar working on Cognitive Neuroscience, Endocrinology, Diabetes and Metabolism, Physiology, Surgery and Cardiology and Cardiovascular Medicine, having authored 41 papers that have together received 527 indexed citations. Recurring topics across this work include Hyperglycemia and glycemic control in critically ill and hospitalized patients (5 papers), Neural dynamics and brain function (4 papers), Diet and metabolism studies (4 papers), Neuroendocrine regulation and behavior (3 papers), Bariatric Surgery and Outcomes (3 papers), Cardiovascular and exercise physiology (3 papers), High Altitude and Hypoxia (2 papers) and Hemodynamic Monitoring and Therapy (2 papers). The work is most often cited by research in Cognitive Neuroscience (140 citations), Rehabilitation (39 citations), Orthopedics and Sports Medicine (49 citations), Complementary and alternative medicine (47 citations) and Endocrinology, Diabetes and Metabolism (62 citations). C Dolisi has collaborated with scholars based in France. Frequent co-authors include Stéphane Bermon, Marie-Noële Magnié-Mauro, Florence Martin, D. Grimaud, Mireille Besson, M. Raucoules‐Aimé, P Gastaud, Xavier Hébuterne, Ştefan Andrei and Daniel Rama. Their work appears in journals such as British Journal of Anaesthesia, European Journal of Applied Physiology, International Journal of Sports Medicine, Physiology & Behavior and Neurophysiologie Clinique.

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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