E. Monos

120 papers receiving 1.2k citations

Peers

E. Monos
Comparison fields: 5 of 99
  • Internal Medicine 89
  • Cardiology and Cardiovascular Medicine 411
  • Endocrine and Autonomic Systems 111
  • Behavioral Neuroscience 56
  • Physiology 340
Replace György L. Nádasy with:
György L. Nádasy Hungary
Francesco Gallo Italy
George A. Pantely United States
Carl J. Shaar United States
Ian A. Reid United States
Andrea Kleindienst Germany
Takahide Arai Japan
L. Röcker Germany
Yuji Morimoto Japan
Rainer Kollmar Germany
E. Monos relative to György L. Nádasy Hungary György L. Nádasy's profile →
Citations per field
00.5×3.5×
György L. Nádasy · 1×
Citations per year

Countries citing papers authored by E. Monos

Since Specialization
Citations

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

Fields of papers citing papers by E. Monos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1974237
2 199579
3 199638
4 199236
5 198933
6 199729
7 197828
8 200126
9 200126
10 201124
11 200023
12 198123
13 201822
14 200322
15 201919
16 200019
17 200518
18 198918
19 200017
20 199816

About E. Monos

E. Monos is a scholar working on Cardiology and Cardiovascular Medicine, Physiology, Surgery, Endocrinology, Diabetes and Metabolism and Biomedical Engineering, having authored 122 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (21 papers), Nitric Oxide and Endothelin Effects (20 papers), Heart Rate Variability and Autonomic Control (14 papers), Menopause: Health Impacts and Treatments (10 papers), Venous Thromboembolism Diagnosis and Management (9 papers), Ovarian function and disorders (9 papers), Elasticity and Material Modeling (8 papers) and Hormonal and reproductive studies (8 papers). The work is most often cited by research in Internal Medicine (89 citations), Cardiology and Cardiovascular Medicine (411 citations), Endocrine and Autonomic Systems (111 citations), Behavioral Neuroscience (56 citations) and Physiology (340 citations). E. Monos has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include György L. Nádasy, Arthur C. Guyton, Allen W. Cowley, Viktor Bérczi, Szabolcs Várbı́ró, Gabriella Dörnyei, Béla Székács, László Dézsi, S. J. Contney and William J. Stekiel. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Physiological Research, Pflügers Archiv - European Journal of Physiology, Menopause The Journal of The North American Menopause Society and Phlebology The Journal of Venous Disease.

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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