M. Horváth

47 papers receiving 336 citations

Peers

M. Horváth
Comparison fields: 5 of 92
  • Metals and Alloys 14
  • Clinical Biochemistry 24
  • Immunology 49
  • Endocrinology, Diabetes and Metabolism 32
  • Physiology 44
Replace F Pennisi with:
F Pennisi Italy
Masanori Nagano Japan
Jun Itoh Japan
Min Yi China
Jia China
Yukie Sato Japan
Tingting Yao China
Mingming Pan China
Hiromichi Fukushima Japan
Carol J. Wilson United States
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Citations per year

Countries citing papers authored by M. Horváth

Since Specialization
Citations

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

Fields of papers citing papers by M. Horváth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199537
2 201136
3 197530
4 201524
5 201019
6 201418
7 198217
8 196416
9 198814
10 195912
11 200712
12 197412
13
MRI in the assessment of pregnancy related intrauterine bleeding: a valuable adjunct to ultrasound?
20039
14 20189
15 20208
16
[Relationship between congenital heart disease and various factors affecting pregnancy].
19926
17 20126
18
Antitumor drug-protein interactions. Binding of 1-beta-D-arabinofuranosyl cytosine to albumin and chemically modified albumin.
19795
19 20195
20 19725

About M. Horváth

M. Horváth is a scholar working on Materials Chemistry, Molecular Biology, Aerospace Engineering, Mechanical Engineering and Radiology, Nuclear Medicine and Imaging, having authored 53 papers that have together received 357 indexed citations. Recurring topics across this work include Nuclear Materials and Properties (14 papers), Nuclear reactor physics and engineering (8 papers), Fusion materials and technologies (7 papers), Diabetes Management and Research (4 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (4 papers), High Temperature Alloys and Creep (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Electron Spin Resonance Studies (3 papers). The work is most often cited by research in Metals and Alloys (14 citations), Clinical Biochemistry (24 citations), Immunology (49 citations), Endocrinology, Diabetes and Metabolism (32 citations) and Physiology (44 citations). M. Horváth has collaborated with scholars based in Hungary, United States and Netherlands. Frequent co-authors include J. Mestyán, Ákos Horváth, Gy. Soltész, K. Kocsis, F. Gillemot, I. Kovács, Miklós Geiszt, Gábor L. Petheö, B. Fekete and Ferenc Wéber. Their work appears in journals such as Oncology, The Journal of Pediatrics, Nuclear Engineering and Design, The Arts in Psychotherapy and Journal of Leukocyte Biology.

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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