Subhra Prakash Hui

1.2k total citations
30 papers, 754 citations indexed

About

Subhra Prakash Hui is a scholar working on Molecular Biology, Cell Biology and Developmental Neuroscience. According to data from OpenAlex, Subhra Prakash Hui has authored 30 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Cell Biology and 9 papers in Developmental Neuroscience. Recurrent topics in Subhra Prakash Hui's work include Zebrafish Biomedical Research Applications (9 papers), Neurogenesis and neuroplasticity mechanisms (9 papers) and Congenital heart defects research (5 papers). Subhra Prakash Hui is often cited by papers focused on Zebrafish Biomedical Research Applications (9 papers), Neurogenesis and neuroplasticity mechanisms (9 papers) and Congenital heart defects research (5 papers). Subhra Prakash Hui collaborates with scholars based in India, Australia and Japan. Subhra Prakash Hui's co-authors include Sukla Ghosh, Kazu Kikuchi, Kotaro Sugimoto, Delicia Z Sheng, Anindita Dutta, Daniel Hesselson, Shinichi Nakagawa, Álvaro González-Rajal, Tapas Chandra Nag and Maki Nakayama and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Subhra Prakash Hui

26 papers receiving 747 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Subhra Prakash Hui India 12 361 232 190 153 128 30 754
Yiyan Zheng China 18 743 2.1× 157 0.7× 147 0.8× 164 1.1× 65 0.5× 32 1.2k
Themistoklis M. Tsarouchas United Kingdom 6 205 0.6× 234 1.0× 162 0.9× 147 1.0× 67 0.5× 10 532
Cristina Porcheri Switzerland 12 289 0.8× 71 0.3× 228 1.2× 117 0.8× 87 0.7× 17 742
Anne Iltzsche Germany 6 209 0.6× 159 0.7× 172 0.9× 89 0.6× 61 0.5× 7 488
Hedong Li United States 17 464 1.3× 98 0.4× 342 1.8× 309 2.0× 27 0.2× 29 823
Arianna Baggiolini Switzerland 12 536 1.5× 71 0.3× 118 0.6× 152 1.0× 57 0.4× 18 764
Thomas Crowell United States 7 416 1.2× 60 0.3× 351 1.8× 480 3.1× 114 0.9× 10 975
Q. Richard Lu China 8 522 1.4× 86 0.4× 244 1.3× 127 0.8× 35 0.3× 10 806
Corina Anastasaki United States 19 448 1.2× 149 0.6× 51 0.3× 70 0.5× 111 0.9× 35 1.0k
Mathias Lesche Germany 15 497 1.4× 93 0.4× 88 0.5× 44 0.3× 140 1.1× 33 785

Countries citing papers authored by Subhra Prakash Hui

Since Specialization
Citations

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

Fields of papers citing papers by Subhra Prakash Hui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Subhra Prakash Hui. 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 Subhra Prakash Hui. The network helps show where Subhra Prakash Hui may publish in the future.

Co-authorship network of co-authors of Subhra Prakash Hui

This figure shows the co-authorship network connecting the top 25 collaborators of Subhra Prakash Hui. A scholar is included among the top collaborators of Subhra Prakash Hui 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 Subhra Prakash Hui. Subhra Prakash Hui 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
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Roy, Arunima, Tapas Kumar Banerjee, Prasad Krishnan, et al.. (2024). Clinical Implication of Time of Ischaemic Stroke Among Post-Stroke Survivors from Eastern India: A Circadian Perspective. NeuroMolecular Medicine. 26(1). 41–41.
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Hui, Subhra Prakash, et al.. (2024). Epigenetic Cross-Talk Between Sirt1 and Dnmt1 Promotes Axonal Regeneration After Spinal Cord Injury in Zebrafish. Molecular Neurobiology. 62(2). 2396–2419. 5 indexed citations
5.
Hui, Subhra Prakash, et al.. (2023). In vivo ‘turn on’ fluorescence detection of free cysteine in zebrafish kidney and liver. Journal of Photochemistry and Photobiology B Biology. 245. 112747–112747. 3 indexed citations
6.
Nakajima, Hiroyuki, Hiroyuki Ishikawa, Takuya Yamamoto, et al.. (2023). Endoderm-derived islet1-expressing cells differentiate into endothelial cells to function as the vascular HSPC niche in zebrafish. Developmental Cell. 58(3). 224–238.e7. 11 indexed citations
7.
Dutta, Suman, et al.. (2023). Regenerative Potential of Injured Spinal Cord in the Light of Epigenetic Regulation and Modulation. Cells. 12(13). 1694–1694. 10 indexed citations
8.
Biswas, Arindam, Koustav Chatterjee, Biman Kanti Ray, et al.. (2023). Genetic Variations and Altered Blood mRNA Level of Circadian Genes and BDNF as Risk Factors of Post-Stroke Cognitive Impairment Among Eastern Indians. NeuroMolecular Medicine. 25(4). 586–595. 5 indexed citations
9.
Roy, Arunima, et al.. (2023). Arg4810Lys mutation in RNF213 among Eastern Indian non-MMD ischemic stroke patients: a genotype–phenotype correlation. Neurological Sciences. 45(1). 315–319. 1 indexed citations
10.
Hui, Subhra Prakash, Kotaro Sugimoto, Delicia Z Sheng, & Kazu Kikuchi. (2022). Regulatory T cells regulate blastemal proliferation during zebrafish caudal fin regeneration. Frontiers in Immunology. 13. 981000–981000. 2 indexed citations
11.
Mandal, Santi M., et al.. (2022). Cobalt-conjugated carbon quantum dots for in vivo monitoring of the pyruvate dehydrogenase kinase inhibitor drug dichloroacetic acid. Scientific Reports. 12(1). 19366–19366. 4 indexed citations
12.
Ogawa, Masahito, David T. Humphreys, Delicia Z Sheng, et al.. (2021). Krüppel-like factor 1 is a core cardiomyogenic trigger in zebrafish. Science. 372(6538). 201–205. 47 indexed citations
13.
Adhikary, Satadal & Subhra Prakash Hui. (2021). The loss of regeneration competency in the animal kingdom at the expense of immunity: A journey in retrospect. Brain Behavior and Immunity. 94. 8–10. 2 indexed citations
14.
Hui, Subhra Prakash, et al.. (2021). An insight on established retinal injury mechanisms and prevalent retinal stem cell activation pathways in vertebrate models. SHILAP Revista de lepidopterología. 4(3). 189–203. 11 indexed citations
15.
Hui, Subhra Prakash, Tapas Chandra Nag, & Sukla Ghosh. (2020). Neural cells and their progenitors in regenerating zebrafish spinal cord. The International Journal of Developmental Biology. 64(4-5-6). 353–366. 4 indexed citations
16.
Hui, Subhra Prakash, Delicia Z Sheng, Kotaro Sugimoto, et al.. (2017). Zebrafish Regulatory T Cells Mediate Organ-Specific Regenerative Programs. Developmental Cell. 43(6). 659–672.e5. 208 indexed citations
17.
Ghosh, Sukla & Subhra Prakash Hui. (2016). Regeneration of Zebrafish CNS: Adult Neurogenesis. Neural Plasticity. 2016. 1–21. 64 indexed citations
18.
Hui, Subhra Prakash & Sukla Ghosh. (2016). Various Modes of Spinal Cord Injury to Study Regeneration in Adult Zebrafish. BIO-PROTOCOL. 6(23). 4 indexed citations
19.
Hui, Subhra Prakash, Dhriti Sengupta, Triparna Sen, et al.. (2014). Genome Wide Expression Profiling during Spinal Cord Regeneration Identifies Comprehensive Cellular Responses in Zebrafish. PLoS ONE. 9(1). e84212–e84212. 71 indexed citations
20.
Hui, Subhra Prakash, Anindita Dutta, & Sukla Ghosh. (2010). Cellular response after crush injury in adult zebrafish spinal cord. Developmental Dynamics. 239(11). 2962–2979. 101 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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