Nipan Israsena

1.1k total citations
39 papers, 827 citations indexed

About

Nipan Israsena is a scholar working on Molecular Biology, Biomaterials and Genetics. According to data from OpenAlex, Nipan Israsena has authored 39 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Biomaterials and 6 papers in Genetics. Recurrent topics in Nipan Israsena's work include CRISPR and Genetic Engineering (5 papers), Platelet Disorders and Treatments (4 papers) and Electrospun Nanofibers in Biomedical Applications (4 papers). Nipan Israsena is often cited by papers focused on CRISPR and Genetic Engineering (5 papers), Platelet Disorders and Treatments (4 papers) and Electrospun Nanofibers in Biomedical Applications (4 papers). Nipan Israsena collaborates with scholars based in Thailand, United States and France. Nipan Israsena's co-authors include John A. Kessler, Lixin Kan, Min Hu, Weimin Fu, Ali Jalali, Li-Ru Zhao, Pitt Supaphol, Vibhu Sahni, Thiravat Hemachudha and Kanya Suphapeetiporn and has published in prestigious journals such as Angewandte Chemie International Edition, PLoS ONE and Scientific Reports.

In The Last Decade

Nipan Israsena

36 papers receiving 811 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nipan Israsena Thailand 15 453 151 139 128 92 39 827
Zhimin Zhu United States 11 784 1.7× 152 1.0× 459 3.3× 151 1.2× 77 0.8× 15 1.3k
Kiyomi Taniguchi Japan 8 757 1.7× 91 0.6× 29 0.2× 125 1.0× 47 0.5× 12 924
Marina Zelivyanskaya United States 16 267 0.6× 90 0.6× 90 0.6× 269 2.1× 101 1.1× 21 813
Hsingchi Lin United States 12 453 1.0× 128 0.8× 108 0.8× 145 1.1× 129 1.4× 17 783
Martin Aichinger Germany 12 774 1.7× 104 0.7× 34 0.2× 42 0.3× 314 3.4× 19 1.8k
Eugen Radu Romania 19 449 1.0× 69 0.5× 32 0.2× 51 0.4× 104 1.1× 54 1.2k
Carmel O’Brien Australia 17 679 1.5× 111 0.7× 70 0.5× 295 2.3× 294 3.2× 26 1.1k
Mandeep Singh India 16 555 1.2× 83 0.5× 69 0.5× 104 0.8× 177 1.9× 51 1.1k
Sarah Haylock‐Jacobs Canada 12 366 0.8× 43 0.3× 197 1.4× 224 1.8× 97 1.1× 20 1.2k
Lingxun Duan United States 14 1.6k 3.5× 271 1.8× 49 0.4× 104 0.8× 219 2.4× 22 1.9k

Countries citing papers authored by Nipan Israsena

Since Specialization
Citations

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

Fields of papers citing papers by Nipan Israsena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nipan Israsena

This figure shows the co-authorship network connecting the top 25 collaborators of Nipan Israsena. A scholar is included among the top collaborators of Nipan Israsena 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 Nipan Israsena. Nipan Israsena 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.
Jinawath, Artit, Nipan Israsena, Panuwat Lertsithichai, et al.. (2025). RNAscope Multiplex FISH Signal Assessment in FFPE and Fresh Frozen Tissues: The Effect of Archival Duration on RNA Expression. Journal of Histochemistry & Cytochemistry. 73(1-2). 9–28. 1 indexed citations
2.
Chaiteerakij, Roongruedee, Nipan Israsena, Phonthep Angsuwatcharakon, et al.. (2025). Portal versus peripheral circulating tumor cells as prognostic biomarkers in patients with stage I–III pancreatic ductal adenocarcinoma. Endoscopy. 57(8). 901–909.
3.
Uaprasert, Noppacharn, et al.. (2024). Roles of ROCK/Myosin Pathway in Macrothrombocytopenia in Bernard–Soulier Syndrome. Thrombosis and Haemostasis. 125(10). 985–997.
4.
Rojnuckarin, Ponlapat, et al.. (2023). PB0380 Corrections of Bernard Soulier Syndrome Megakaryocyte Phenotypes by Small Molecules and Interleukin-1α. Research and Practice in Thrombosis and Haemostasis. 7. 101585–101585. 1 indexed citations
5.
Tao, Qingyi, et al.. (2023). Label-free tumor cells classification using deep learning and high-content imaging. Scientific Data. 10(1). 570–570. 16 indexed citations
6.
Israsena, Nipan, et al.. (2022). Improved Delineation of Colorectal Cancer Molecular Subtypes and Functional Profiles with a 62-Gene Panel. Molecular Cancer Research. 21(3). 240–252. 2 indexed citations
7.
8.
Tiyarattanachai, Thodsawit, et al.. (2022). Circulating tumor cells as a prognostic biomarker in patients with hepatocellular carcinoma. Scientific Reports. 12(1). 18686–18686. 15 indexed citations
9.
Israsena, Nipan, et al.. (2021). Distinct effects of V617F and exon12-mutated JAK2 expressions on erythropoiesis in a human induced pluripotent stem cell (iPSC)-based model. Scientific Reports. 11(1). 5255–5255. 8 indexed citations
10.
Sriswasdi, Sira, et al.. (2021). The LIN28B/TGF-β/TGFBI feedback loop promotes cell migration and tumour initiation potential in cholangiocarcinoma. Cancer Gene Therapy. 29(5). 445–455. 17 indexed citations
11.
Israsena, Nipan, et al.. (2020). Generation and characterization of HLA-universal platelets derived from induced pluripotent stem cells. Scientific Reports. 10(1). 8472–8472. 35 indexed citations
12.
Aporntewan, Chatchawit, et al.. (2019). Argonaute 4 as an Effector Protein in RNA-Directed DNA Methylation in Human Cells. Frontiers in Genetics. 10. 645–645. 21 indexed citations
13.
Pienpinijtham, Prompong, et al.. (2018). Enhancing Passive Transport of Micro/Nano Particles into Cells by Oxidized Carbon Black. ACS Omega. 3(6). 6833–6840. 7 indexed citations
14.
Ratanasirintrawoot, Sutheera & Nipan Israsena. (2016). Stem Cells in the Intestine: Possible Roles in Pathogenesis of Irritable Bowel Syndrome. Journal of Neurogastroenterology and Motility. 22(3). 367–382. 15 indexed citations
15.
Israsena, Nipan, et al.. (2014). Polypyrrole-coated electrospun poly(lactic acid) fibrous scaffold: effects of coating on electrical conductivity and neural cell growth. Journal of Biomaterials Science Polymer Edition. 25(12). 1240–1252. 54 indexed citations
16.
Jalali, Ali, Alexander G. Bassuk, Lixin Kan, et al.. (2011). HeyL promotes neuronal differentiation of neural progenitor cells. Journal of Neuroscience Research. 89(3). 299–309. 36 indexed citations
17.
Israsena, Nipan, et al.. (2011). Rabies Virus Infection and MicroRNAs. Advances in virus research. 79. 329–344. 9 indexed citations
18.
Kan, Lixin, Nipan Israsena, Min Hu, et al.. (2004). Sox1 acts through multiple independent pathways to promote neurogenesis. Developmental Biology. 269(2). 580–594. 141 indexed citations
19.
Israsena, Nipan, Min Hu, Weimin Fu, Lixin Kan, & John A. Kessler. (2004). The presence of FGF2 signaling determines whether β-catenin exerts effects on proliferation or neuronal differentiation of neural stem cells. Developmental Biology. 268(1). 220–231. 196 indexed citations
20.
Israsena, Nipan & John A. Kessler. (2002). Msx2 and p21CIP1/WAF1 mediate the proapoptotic effects of bone morphogenetic protein‐4 on ventricular zone progenitor cells. Journal of Neuroscience Research. 69(6). 803–809. 26 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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