Banthit Chetsawang

1.2k total citations
54 papers, 1.0k citations indexed

About

Banthit Chetsawang is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Endocrine and Autonomic Systems. According to data from OpenAlex, Banthit Chetsawang has authored 54 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cellular and Molecular Neuroscience, 24 papers in Molecular Biology and 22 papers in Endocrine and Autonomic Systems. Recurrent topics in Banthit Chetsawang's work include Circadian rhythm and melatonin (21 papers), Neuroscience and Neuropharmacology Research (12 papers) and Neuropeptides and Animal Physiology (7 papers). Banthit Chetsawang is often cited by papers focused on Circadian rhythm and melatonin (21 papers), Neuroscience and Neuropharmacology Research (12 papers) and Neuropeptides and Animal Physiology (7 papers). Banthit Chetsawang collaborates with scholars based in Thailand, United States and United Kingdom. Banthit Chetsawang's co-authors include Piyarat Govitrapong, Wilasinee Suwanjang, Pansiri Phansuwan‐Pujito, Andrey Y. Abramov, Manuchair Ebadi, Komgrid Charngkaew, Sanjeev Sharma, James E. Porter, Anan Srikiatkhachorn and Furhan Iqbal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Banthit Chetsawang

52 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Banthit Chetsawang Thailand 18 356 336 271 200 133 54 1.0k
Carla Caruso Argentina 22 379 1.1× 292 0.9× 433 1.6× 270 1.4× 344 2.6× 47 1.4k
Kalpana Barhwal India 21 387 1.1× 223 0.7× 191 0.7× 234 1.2× 161 1.2× 38 1.1k
Sujira Mukda Thailand 18 427 1.2× 367 1.1× 197 0.7× 239 1.2× 243 1.8× 43 1.2k
Sunil Kumar Hota India 21 381 1.1× 221 0.7× 185 0.7× 231 1.2× 150 1.1× 34 1.1k
Daniela Durand Argentina 18 274 0.8× 237 0.7× 326 1.2× 222 1.1× 283 2.1× 30 972
Faridis Serrano United States 13 405 1.1× 222 0.7× 326 1.2× 532 2.7× 348 2.6× 22 1.4k
Montserrat Feijóo Spain 20 388 1.1× 149 0.4× 239 0.9× 145 0.7× 191 1.4× 32 1.1k
Sandra D. Santos Portugal 14 268 0.8× 189 0.6× 374 1.4× 192 1.0× 75 0.6× 23 863
Lila Carniglia Argentina 15 235 0.7× 135 0.4× 284 1.0× 186 0.9× 262 2.0× 24 747

Countries citing papers authored by Banthit Chetsawang

Since Specialization
Citations

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

Fields of papers citing papers by Banthit Chetsawang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Banthit Chetsawang

This figure shows the co-authorship network connecting the top 25 collaborators of Banthit Chetsawang. A scholar is included among the top collaborators of Banthit Chetsawang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Banthit Chetsawang. Banthit Chetsawang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chetsawang, Banthit, et al.. (2026). Human adipose stem cell-derived exosomes modulate the transcriptome of D-galactose-Induced neuronal cells. Scientific Reports. 16(1). 4575–4575.
2.
Nassir, Che Mohd Nasril Che Mohd, et al.. (2025). Neuron-Glial2 (NG2) cells: A promising target for neuroinflammation-related neurodegeneration. Translational Research in Anatomy. 39. 100395–100395. 1 indexed citations
3.
Charoensutthivarakul, Sitthivut, Sujira Mukda, Chutikorn Nopparat, et al.. (2024). A Complex Interplay Between Melatonin and RORβ: RORβ is Unlikely a Putative Receptor for Melatonin as Revealed by Biophysical Assays. Molecular Neurobiology. 62(2). 2333–2347. 2 indexed citations
4.
Mukda, Sujira, et al.. (2020). The induction of Neuron-Glial2 (NG2) expressing cells in methamphetamine toxicity-induced neuroinflammation in rat brain are averted by melatonin. Journal of Neuroimmunology. 344. 577232–577232. 7 indexed citations
7.
Boontem, Parichart, et al.. (2015). Melatonin attenuates methamphetamine-induced inhibition of neurogenesis in the adult mouse hippocampus: An in vivo study. Neuroscience Letters. 606. 209–214. 27 indexed citations
8.
Suwanjang, Wilasinee, Andrey Y. Abramov, Piyarat Govitrapong, & Banthit Chetsawang. (2013). Melatonin attenuates dexamethasone toxicity-induced oxidative stress, calpain and caspase activation in human neuroblastoma SH-SY5Y cells. The Journal of Steroid Biochemistry and Molecular Biology. 138. 116–122. 40 indexed citations
9.
Suwanjang, Wilasinee, Pansiri Phansuwan‐Pujito, Piyarat Govitrapong, & Banthit Chetsawang. (2012). Calpastatin reduces calpain and caspase activation in methamphetamine-induced toxicity in human neuroblastoma SH-SY5Y cultured cells. Neuroscience Letters. 526(1). 49–53. 13 indexed citations
10.
Govitrapong, Piyarat, et al.. (2010). Hydrogen Peroxide Toxicity Induces Ras Signaling in Human Neuroblastoma SH-SY5Y Cultured Cells. SHILAP Revista de lepidopterología. 2010. 1–4. 12 indexed citations
11.
Phansuwan‐Pujito, Pansiri, et al.. (2009). Melatonin reduces induction of Bax, caspase and cell death in methamphetamine‐treated human neuroblastoma SH‐SY5Y cultured cells. Journal of Pineal Research. 46(4). 433–440. 41 indexed citations
13.
Chetsawang, Banthit, et al.. (2008). 1-Methyl-4-phenyl-pyridinium ion-induced oxidative stress, c-Jun phosphorylation and DNA fragmentation factor-45 cleavage in SK-N-SH cells are averted by selegiline. Neurochemistry International. 53(6-8). 283–288. 14 indexed citations
15.
Phansuwan‐Pujito, Pansiri, Parichart Boontem, Banthit Chetsawang, Manuchair Ebadi, & Piyarat Govitrapong. (2006). Dopamine transporter immunoreactive terminals in the bovine pineal gland. Neuroscience Letters. 403(1-2). 78–83. 4 indexed citations
16.
Chetsawang, Banthit, Piyarat Govitrapong, & Manuchair Ebadi. (2004). The neuroprotective effect of melatonin against the induction of c-Jun phosphorylation by 6-hydroxydopamine on SK-N-SH cells. Neuroscience Letters. 371(2-3). 205–208. 25 indexed citations
17.
Chetsawang, Banthit, et al.. (2003). Effects of D1‐ and D2‐dopamine receptor activation on melatonin synthesis in bovine pinealocytes. Journal of Pineal Research. 35(3). 169–176. 5 indexed citations
18.
Sharma, Sanjeev, et al.. (2002). Deferoxamine Attenuates Iron-Induced Oxidative Stress and Prevents Mitochondrial Aggregation and α-Synuclein Translocation in SK-N-SH Cells in Culture. Developmental Neuroscience. 24(2-3). 143–153. 75 indexed citations
19.
Chetsawang, Banthit, Stefano O. Casalotti, Pansiri Phansuwan‐Pujito, Naiphinich Kotchabhakdi, & Piyarat Govitrapong. (1999). Gene Expressions of Opioid Receptors and G-Proteins in Pineal Glands. Biochemical and Biophysical Research Communications. 262(3). 775–780. 15 indexed citations
20.
Govitrapong, Piyarat, et al.. (1998). Existence and function of opioid receptors on nammalian pinealocytes. Journal of Pineal Research. 24(4). 201–208. 16 indexed citations

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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