Ábel Decmann

453 citations
16 papers · 346 · h-index 9

Impact in

Papers in

    • Adrenal and Paraganglionic Tumors 7
    • MicroRNA in disease regulation 2
    • Cancer-related molecular mechanisms research 1

Ábel Decmann

16 papers receiving 343 citations

Peers

Ábel Decmann
Comparison fields: 5 of 38
  • Cancer Research 100
  • Endocrinology, Diabetes and Metabolism 64
  • Surgery 161
  • Molecular Biology 74
  • Aging 1
Replace Pál Perge with:
Pál Perge Hungary
Estela Lorza‐Gil Germany
Xin-ming Yao China
Hui Liang China
Seth M. Klein United States
Khoon-Leong Ng Malaysia
Xavier Pascal Berney Switzerland
N. Sekine Japan
Haiyan Song China
Jitai Zhang China
Ábel Decmann relative to Pál Perge Hungary Pál Perge's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ábel Decmann

Since Specialization
Citations

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

Fields of papers citing papers by Ábel Decmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201781
2 201757
3 201646
4 201930
5 201825
6 201825
7 202024
8 201920
9 202011
10 20227
11 20176
12 20185
13 20213
14 20243
15 20192
16
A mikro-RNS-ek patogenetikai és diagnosztikai szerepe mellékvesekéreg-carcinomában = Pathogenic and diagnostic roles of microRNAs in adrenocortical tumours
20181

About Ábel Decmann

Ábel Decmann is a scholar working on Surgery, Cancer Research, Endocrinology, Diabetes and Metabolism, Epidemiology and Molecular Biology, having authored 16 papers that have together received 346 indexed citations. Recurring topics across this work include Adrenal and Paraganglionic Tumors (7 papers), MicroRNA in disease regulation (2 papers), Hormonal Regulation and Hypertension (2 papers), Extracellular vesicles in disease (2 papers), Neuroendocrine Tumor Research Advances (2 papers), Gut microbiota and health (1 paper), Diabetes and associated disorders (1 paper) and Cancer-related molecular mechanisms research (1 paper). The work is most often cited by research in Cancer Research (100 citations), Endocrinology, Diabetes and Metabolism (64 citations), Surgery (161 citations), Molecular Biology (74 citations) and Aging (1 citation). Ábel Decmann has collaborated with scholars based in Hungary, United States and Italy. Frequent co-authors include Péter Igaz, Pál Perge, Miklós Tóth, Attila Patócs, Zsolt Nagy, Irina Bancos, Raffaele Pezzani, Gábor Nyírő, Marco Boscaro and Michaela Luconi. Their work appears in journals such as Cancers, Frontiers in Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Antibiotics and Hormone and Metabolic Research.

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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