Apiwan Arinno

508 citations
28 papers · 379 · h-index 11

Impact in

Papers in

Apiwan Arinno

28 papers receiving 378 citations

Peers

Apiwan Arinno
Comparison fields: 5 of 71
  • Cardiology and Cardiovascular Medicine 179
  • Biophysics 33
  • Neurology 44
  • Biological Psychiatry 11
  • Endocrine and Autonomic Systems 20
Replace Thawatchai Khuanjing with:
Thawatchai Khuanjing Thailand
Yuanfang Guo China
Xuanhong Zhang China
John A. Stupinski United States
Charlotte Buckley United Kingdom
Zhiping Wu China
Duvaraka Kula‐Alwar United Kingdom
Serkan Gürgül Türkiye
Anna Hammer Germany
Kurt J. Schillinger United States
Apiwan Arinno relative to Thawatchai Khuanjing Thailand Thawatchai Khuanjing's profile →
Citations per field
00.5×3.8×
Thawatchai Khuanjing · 1×
Citations per year

Countries citing papers authored by Apiwan Arinno

Since Specialization
Citations

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

Fields of papers citing papers by Apiwan Arinno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Apiwan Arinno, 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 Apiwan Arinno Line = papers co-authored together Apiwan Arinno 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 202172
2 202156
3 201830
4 202223
5 201921
6 202019
7 202218
8 201817
9 202116
10 202213
11 202213
12 202310
13 20239
14 20228
15 20238
16 20198
17 20227
18 20206
19 20196
20 20234

About Apiwan Arinno

Apiwan Arinno is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Pulmonary and Respiratory Medicine, Physiology and Pathology and Forensic Medicine, having authored 28 papers that have together received 379 indexed citations. Recurring topics across this work include Chemotherapy-induced cardiotoxicity and mitigation (12 papers), Cancer-related cognitive impairment studies (6 papers), Adipose Tissue and Metabolism (4 papers), Cardiac electrophysiology and arrhythmias (4 papers), Cardiac Ischemia and Reperfusion (4 papers), Ion channel regulation and function (3 papers), Electron Spin Resonance Studies (3 papers) and Vagus Nerve Stimulation Research (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (179 citations), Biophysics (33 citations), Neurology (44 citations), Biological Psychiatry (11 citations) and Endocrine and Autonomic Systems (20 citations). Apiwan Arinno has collaborated with scholars based in Thailand. Frequent co-authors include Nipon Chattipakorn, Titikorn Chunchai, Siriporn C. Chattipakorn, Thawatchai Khuanjing, Benjamin Ongnok, Nanthip Prathumsap, Chayodom Maneechote, Busarin Arunsak, Nattayaporn Apaijai and Sasiwan Kerdphoo. Their work appears in journals such as Alzheimer s & Dementia, Biochemical Pharmacology, Journal of Pineal Research, Aging and Molecular Nutrition & Food 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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