Mihály Albert

1.0k citations
28 papers · 793 · h-index 15

Impact in

Papers in

Mihály Albert

27 papers receiving 774 citations

Peers

Mihály Albert
Comparison fields: 5 of 103
  • Animal Science and Zoology 110
  • Neurology 85
  • Infectious Diseases 151
  • Cellular and Molecular Neuroscience 147
  • Nephrology 46
Replace J. Catharina Duvigneau with:
J. Catharina Duvigneau Austria
Dan Shan China
Olga Ilnytska United States
Jingjing Liang China
Jing Kong China
Nobuo Nakanishi Japan
A. M. Jonas United States
Yafang Hu China
G Wu Canada
Jae‐Won Huh South Korea
Mihály Albert relative to J. Catharina Duvigneau Austria J. Catharina Duvigneau's profile →
Citations per field
00.5×1.5×
J. Catharina Duvigneau · 1×
Citations per year

Countries citing papers authored by Mihály Albert

Since Specialization
Citations

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

Fields of papers citing papers by Mihály Albert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006151
2 1987107
3 201480
4 201767
5 201351
6 201439
7 200734
8 201631
9 201827
10 199824
11 201421
12
Effects of long-term aluminum exposure on certain serum constituents in broiler chickens.
199421
13 201321
14 200717
15 202016
16 202014
17 202113
18 201510
19
Biochemical and physiological effects of long-term sublethal T-2 toxin feeding in rabbits.
199410
20 20118

About Mihály Albert

Mihály Albert is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Infectious Diseases, Pathology and Forensic Medicine and Animal Science and Zoology, having authored 28 papers that have together received 793 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (7 papers), Animal Virus Infections Studies (4 papers), Viral gastroenteritis research and epidemiology (4 papers), Chemotherapy-induced organ toxicity mitigation (4 papers), Viral Infections and Immunology Research (3 papers), Retinal Development and Disorders (2 papers), Acute Kidney Injury Research (2 papers) and Ion channel regulation and function (2 papers). The work is most often cited by research in Animal Science and Zoology (110 citations), Neurology (85 citations), Infectious Diseases (151 citations), Cellular and Molecular Neuroscience (147 citations) and Nephrology (46 citations). Mihály Albert has collaborated with scholars based in Hungary, United States and France. Frequent co-authors include Gábor Szénási, László G. Hársing, A Rougeul, Marie‐Françoise Montaron, J.J. Bouyer, Péter Mátyus, Gábor Gigler, György Lévay, Zsolt Jurányi and Péter Pankovics. Their work appears in journals such as Viruses, PLoS ONE, Veterinary Sciences, Neurochemical Research and Journal of Hepatology.

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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