Ábel Decmann

452 citations
16 papers · 331 · h-index 9

Impact in

Papers in

    • Adrenal and Paraganglionic Tumors 8
    • Cardiovascular, Neuropeptides, and Oxidative Stress Research 2
    • Chromatin Remodeling and Cancer 3
    • Extracellular vesicles in disease 2

Ábel Decmann

16 papers receiving 328 citations

Peers

Ábel Decmann
Comparison fields: 5 of 41
  • Cancer Research 178
  • Endocrinology, Diabetes and Metabolism 91
  • Surgery 168
  • Genetics 23
  • Molecular Biology 126
Replace Pál Perge with:
Pál Perge Hungary
María Currás-Freixes Spain
Plamena Gabrovska Australia
Roberta Armignacco Italy
Lesley Rawlings Australia
Maria Albuja‐Cruz United States
Haipeng Pang China
Songfeng Wei China
Samuel Backman Sweden
Shireen Ganapathi United States
Ábel Decmann relative to Pál Perge Hungary Pál Perge's profile →
Citations per field
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Pál Perge · 1×
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 201778
2 201754
3 201646
4 201926
5 201825
6 201825
7 202021
8 201920
9 202010
10 20176
11 20185
12 20225
13 20243
14 20193
15 20213
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, Molecular Biology, Cancer Research, Endocrinology, Diabetes and Metabolism and Pediatrics, Perinatology and Child Health, having authored 16 papers that have together received 331 indexed citations. Recurring topics across this work include Adrenal and Paraganglionic Tumors (8 papers), MicroRNA in disease regulation (4 papers), Chromatin Remodeling and Cancer (3 papers), Hormonal Regulation and Hypertension (3 papers), Extracellular vesicles in disease (2 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers), Cancer-related molecular mechanisms research (2 papers) and Lung Cancer Research Studies (1 paper). The work is most often cited by research in Cancer Research (178 citations), Endocrinology, Diabetes and Metabolism (91 citations), Surgery (168 citations), Genetics (23 citations) and Molecular Biology (126 citations). 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, Hormone and Metabolic Research, RNA Biology, The Journal of Clinical Endocrinology & Metabolism and Frontiers in Endocrinology.

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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