Ferenc E. Mózes

3.0k citations
22 papers · 274 · h-index 8

Impact in

  • Hepatology top 10%
    • Liver Disease and Transplantation
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver Disease Diagnosis and Treatment

Papers in

Ferenc E. Mózes

20 papers receiving 269 citations

Peers

Ferenc E. Mózes
Comparison fields: 5 of 49
  • Hepatology 81
  • Epidemiology 177
  • Radiology, Nuclear Medicine and Imaging 78
  • Endocrinology, Diabetes and Metabolism 45
  • Physiology 47
Replace Tracy Le with:
Tracy Le United States
Michail Kokkorakis United States
Shui-Xian Du China
Anne Linde Mak Netherlands
Abbey Barnard United States
Birgit Klüppelholz Germany
Anneli Andersson United Kingdom
Natasha McDonald United Kingdom
Pei‐Mei Shi China
Rowan C. Nicholls United Kingdom
Ferenc E. Mózes relative to Tracy Le United States Tracy Le's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ferenc E. Mózes

Since Specialization
Citations

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

Fields of papers citing papers by Ferenc E. Mózes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201659
2 202347
3 202044
4 201838
5 201722
6 202412
7 202312
8 20219
9 20216
10 20255
11 20235
12 20144
13 20212
14 20242
15 20242
16 20251
17 20231
18 20251
19 20221
20 20251

About Ferenc E. Mózes

Ferenc E. Mózes is a scholar working on Epidemiology, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Physiology and Hepatology, having authored 22 papers that have together received 274 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (12 papers), Advanced MRI Techniques and Applications (9 papers), MRI in cancer diagnosis (4 papers), Liver Disease and Transplantation (4 papers), Lanthanide and Transition Metal Complexes (3 papers), Diet and metabolism studies (3 papers), Metabolism and Genetic Disorders (2 papers) and Diet, Metabolism, and Disease (2 papers). The work is most often cited by research in Hepatology (81 citations), Epidemiology (177 citations), Radiology, Nuclear Medicine and Imaging (78 citations), Endocrinology, Diabetes and Metabolism (45 citations) and Physiology (47 citations). Ferenc E. Mózes has collaborated with scholars based in United Kingdom, Slovakia and United States. Frequent co-authors include Michael Pavlides, Elizabeth M. Tunnicliffe, Matthew D. Robson, Thomas Marjot, Ahmad Moolla, Thomas Cornfield, Christina Levick, Leanne Hodson, Siôn Parry and Pamela Dyson. Their work appears in journals such as Magnetic Resonance in Medicine, NMR in Biomedicine, Chemical Communications, Journal of Hepatology and Obesity.

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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