Nina Eikelis

6.2k citations
119 papers · 5k · h-index 38

Impact in

Papers in

Nina Eikelis

115 papers receiving 4.9k citations

Peers

Nina Eikelis
Comparison fields: 5 of 120
  • Cardiology and Cardiovascular Medicine 2.2k
  • Endocrine and Autonomic Systems 460
  • Behavioral Neuroscience 97
  • Physiology 804
  • Endocrinology, Diabetes and Metabolism 516
Replace Nora E. Straznicky with:
Nora E. Straznicky Australia
Tye Dawood Australia
Marco Orrù United States
Kazuhito Totsune Japan
Yoshitaka Hirooka Japan
J. Hilsted Denmark
Gary L. Robertson United States
Yehonatan Sharabi Israel
Gail Kurr Adler United States
Mary L. Forsling United Kingdom
Nina Eikelis relative to Nora E. Straznicky Australia Nora E. Straznicky's profile →
Citations per field
00.5×2×2.7×
Nora E. Straznicky · 1×
Citations per year

Countries citing papers authored by Nina Eikelis

Since Specialization
Citations

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

Fields of papers citing papers by Nina Eikelis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008344
2 2006335
3 2003225
4 2012173
5 2010161
6 2016145
7 2008137
8 2010137
9 2011125
10 2013121
11 2010109
12 2007105
13 2012105
14 2008104
15 2009101
16 2012101
17 201094
18 201992
19 200890
20 200184

About Nina Eikelis

Nina Eikelis is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems, Behavioral Neuroscience and Physiology, having authored 119 papers that have together received 5k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (36 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (21 papers), Heart Rate Variability and Autonomic Control (13 papers), Regulation of Appetite and Obesity (12 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers), Medical Imaging Techniques and Applications (6 papers) and Stress Responses and Cortisol (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.2k citations), Endocrine and Autonomic Systems (460 citations), Behavioral Neuroscience (97 citations), Physiology (804 citations) and Endocrinology, Diabetes and Metabolism (516 citations). Nina Eikelis has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Gavin William Lambert, Murray Esler, Élisabeth Lambert, Markus Peter Schlaich, Nora E. Straznicky, Carolina Ika Sari, Kazuko Masuo, Tye Dawood, Geoffrey A. Head and Sarah C. Hennebry. Their work appears in journals such as Hypertension, Journal of Hypertension, The Journal of Clinical Endocrinology & Metabolism, Frontiers in Physiology and Diabetologia.

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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