Amit Singh

2.0k total citations
68 papers, 1.3k citations indexed

About

Amit Singh is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Amit Singh has authored 68 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 25 papers in Cell Biology and 13 papers in Cellular and Molecular Neuroscience. Recurrent topics in Amit Singh's work include Developmental Biology and Gene Regulation (22 papers), Hippo pathway signaling and YAP/TAZ (17 papers) and Alzheimer's disease research and treatments (11 papers). Amit Singh is often cited by papers focused on Developmental Biology and Gene Regulation (22 papers), Hippo pathway signaling and YAP/TAZ (17 papers) and Alzheimer's disease research and treatments (11 papers). Amit Singh collaborates with scholars based in United States, India and Taiwan. Amit Singh's co-authors include Madhuri Kango‐Singh, Kwang‐Wook Choi, Neha Gogia, Meghana Tare, Yi Sun, Ankita Sarkar, Oorvashi Roy Puli, Abijeet Singh Mehta, K. P. Gopinathan and Kenneth D. Irvine and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Amit Singh

67 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amit Singh United States 22 800 488 318 243 124 68 1.3k
Fabián Feiguin Italy 22 1.1k 1.4× 661 1.4× 457 1.4× 194 0.8× 102 0.8× 36 1.9k
Gunter Merdes Germany 13 641 0.8× 359 0.7× 228 0.7× 338 1.4× 75 0.6× 19 926
Alexander J. Valvezan United States 11 1.3k 1.6× 294 0.6× 178 0.6× 261 1.1× 51 0.4× 18 1.8k
Aaron Voigt Germany 24 1.0k 1.3× 329 0.7× 526 1.7× 362 1.5× 167 1.3× 44 1.9k
Dominik Paquet Germany 15 1.4k 1.7× 310 0.6× 390 1.2× 482 2.0× 111 0.9× 26 2.0k
Victor Bustos United States 20 616 0.8× 214 0.4× 135 0.4× 342 1.4× 121 1.0× 31 1.2k
Manish Jaiswal United States 22 1.3k 1.7× 450 0.9× 467 1.5× 314 1.3× 47 0.4× 31 2.0k
Edgar F. da Cruz e Silva Portugal 23 1.1k 1.3× 443 0.9× 191 0.6× 481 2.0× 118 1.0× 46 1.6k
Leo Tsuda Japan 16 773 1.0× 225 0.5× 224 0.7× 115 0.5× 56 0.5× 28 1.1k
Laura Torroja Spain 15 510 0.6× 233 0.5× 419 1.3× 334 1.4× 101 0.8× 27 981

Countries citing papers authored by Amit Singh

Since Specialization
Citations

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

Fields of papers citing papers by Amit Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amit Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Amit Singh. A scholar is included among the top collaborators of Amit Singh 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 Amit Singh. Amit Singh 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.
Chen, Chao‐Yi, Jian‐Chiuan Li, Ankita Sarkar, et al.. (2024). miR-277 targets the proapoptotic gene-hid to ameliorate Aβ42-mediated neurodegeneration in Alzheimer’s model. Cell Death and Disease. 15(1). 71–71. 2 indexed citations
2.
Singh, Aditi, et al.. (2023). N-Acetyltransferase 9 ameliorates Aβ42-mediated neurodegeneration in the Drosophila eye. Cell Death and Disease. 14(7). 5 indexed citations
3.
Raj, Akanksha, et al.. (2023). Transcriptional pausing factor M1BP regulates cellular homeostasis by suppressing autophagy and apoptosis in Drosophila eye. SHILAP Revista de lepidopterología. 2(1). 1 indexed citations
4.
Singh, Amit, et al.. (2020). Hippo signaling: bridging the gap between cancer and neurodegenerative disorders. Neural Regeneration Research. 16(4). 643–643. 19 indexed citations
5.
Raj, Akanksha, et al.. (2020). Motif 1 Binding Protein suppresses wingless to promote eye fate in Drosophila. Scientific Reports. 10(1). 17221–17221. 8 indexed citations
6.
Gogia, Neha, Ankita Sarkar, Abijeet Singh Mehta, et al.. (2020). Inactivation of Hippo and cJun-N-terminal Kinase (JNK) signaling mitigate FUS mediated neurodegeneration in vivo. Neurobiology of Disease. 140. 104837–104837. 30 indexed citations
7.
Mehta, Abijeet Singh & Amit Singh. (2019). Insights into regeneration tool box: An animal model approach. Developmental Biology. 453(2). 111–129. 37 indexed citations
8.
Sarkar, Ankita, et al.. (2018). Characterization of a morphogenetic furrow specific Gal4 driver in the developing Drosophila eye. PLoS ONE. 13(4). e0196365–e0196365. 9 indexed citations
9.
Singh, Amit. (2016). A remembrance of Dr Panagiotis A Tsonis (1953–2016). PubMed Central. 3(4). 222–223. 2 indexed citations
10.
Sarkar, Ankita, Michael T. Moran, Oorvashi Roy Puli, et al.. (2015). Drosophila Eye Model to Study Neuroprotective Role of CREB Binding Protein (CBP) in Alzheimer’s Disease. PLoS ONE. 10(9). e0137691–e0137691. 40 indexed citations
11.
Waghmare, Indrayani, et al.. (2014). Drosophila C-terminal Src kinase regulates growth via the Hippo signaling pathway. Developmental Biology. 397(1). 67–76. 15 indexed citations
12.
Tare, Meghana, et al.. (2013). Novel Neuroprotective Function of Apical-Basal Polarity Gene Crumbs in Amyloid Beta 42 (Aβ42) Mediated Neurodegeneration. PLoS ONE. 8(11). e78717–e78717. 26 indexed citations
13.
Moran, Michael T., Meghana Tare, Madhuri Kango‐Singh, & Amit Singh. (2013). Homeotic Gene teashirt (tsh) Has a Neuroprotective Function in Amyloid-Beta 42 Mediated Neurodegeneration. PLoS ONE. 8(11). e80829–e80829. 22 indexed citations
14.
Tare, Meghana, Oorvashi Roy Puli, Michael T. Moran, Madhuri Kango‐Singh, & Amit Singh. (2012). Domain specific genetic mosaic system in the Drosophila eye. genesis. 51(1). 68–74. 13 indexed citations
15.
Tare, Meghana, et al.. (2010). Dorsal eye selector pannier (pnr) suppresses the eye fate to define dorsal margin of the Drosophila eye. Developmental Biology. 346(2). 258–271. 20 indexed citations
16.
Lim, Janghoo, Ok-Kyung Lee, Ya‐Chieh Hsu, Amit Singh, & Kwang‐Wook Choi. (2007). Drosophila TRAP230/240 are essential coactivators for Atonal in retinal neurogenesis. Developmental Biology. 308(2). 322–330. 20 indexed citations
17.
Singh, Amit. (2006). Eye development at the Houston "Fly Meeting". The International Journal of Developmental Biology. 50(8). 659–663.
18.
Singh, Amit, Madhuri Kango‐Singh, Kwang‐Wook Choi, & Yi Sun. (2004). Dorso-ventral asymmetric functions of teashirt in Drosophila eye development depend on spatial cues provided by early DV patterning genes. Mechanisms of Development. 121(4). 365–370. 27 indexed citations
19.
Kango‐Singh, Madhuri, Amit Singh, & Yi Sun. (2003). Eyeless collaborates with hedgehog and decapentaplegic signaling in drosophila eye induction. Developmental Biology. 256(1). 49–61. 39 indexed citations
20.
Singh, Amit & K. P. Gopinathan. (1998). Confocal Microscopy: a Powerful Tool for Biological Research. Current Science. 74(10). 3 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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