Seva Hatzinikolas

401 citations
18 papers · 286 · h-index 11

Impact in

Papers in

Seva Hatzinikolas

18 papers receiving 283 citations

Peers

Seva Hatzinikolas
Comparison fields: 5 of 35
  • Endocrinology, Diabetes and Metabolism 124
  • Gastroenterology 31
  • Physiology 81
  • Endocrine and Autonomic Systems 21
  • Pharmacology 35
Replace Chih-Yen Chen with:
Chih-Yen Chen Taiwan
Antonino Scarfone Italy
Wissam Ghusn United States
Kimberly Cukier Australia
Caroline E. Cousins Australia
Tamara L. Debreceni Australia
Maja Baretić Croatia
Christoph Neumann Germany
Federica Coccia Italy
Konstantinos Arapis France
Seva Hatzinikolas relative to Chih-Yen Chen Taiwan Chih-Yen Chen's profile →
Citations per field
00.5×3.9×
Chih-Yen Chen · 1×
Citations per year

Countries citing papers authored by Seva Hatzinikolas

Since Specialization
Citations

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

Fields of papers citing papers by Seva Hatzinikolas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 202053
2 201949
3 201828
4 202021
5 201921
6 201919
7 201916
8 202212
9 202011
10 201911
11 202110
12 20179
13 20228
14 20207
15 20194
16 20183
17 20253
18
Effect of exenatide once-weekly (QW) on the blood pressure and glycaemic responses to a mashed potato meal in type 2 diabetes: relationships to gastric emptying
20231

About Seva Hatzinikolas

Seva Hatzinikolas is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Physiology, Cardiology and Cardiovascular Medicine and Nutrition and Dietetics, having authored 18 papers that have together received 286 indexed citations. Recurring topics across this work include Diet and metabolism studies (5 papers), Cardiovascular Syncope and Autonomic Disorders (5 papers), Diabetes Treatment and Management (4 papers), Diabetes Management and Research (2 papers), Diet, Metabolism, and Disease (2 papers), Heart Rate Variability and Autonomic Control (2 papers), Muscle metabolism and nutrition (1 paper) and Food composition and properties (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (124 citations), Gastroenterology (31 citations), Physiology (81 citations), Endocrine and Autonomic Systems (21 citations) and Pharmacology (35 citations). Seva Hatzinikolas has collaborated with scholars based in Australia, France and Germany. Frequent co-authors include Michael Horowitz, Karen L. Jones, Hung Pham, Christopher K. Rayner, Tongzhi Wu, Kylie Lange, Chinmay S. Marathe, Laurence G. Trahair, Rachael S. Rigda and Julie E. Stevens. Their work appears in journals such as Nutrients, Diabetes Obesity and Metabolism, The Journal of Clinical Endocrinology & Metabolism, Journal of Parenteral and Enteral Nutrition and Journal of Critical Care.

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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