Amit Singh

1.8k total citations
41 papers, 1.3k citations indexed

About

Amit Singh is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, Amit Singh has authored 41 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Electrical and Electronic Engineering and 11 papers in Materials Chemistry. Recurrent topics in Amit Singh's work include Enzyme Catalysis and Immobilization (11 papers), Arsenic contamination and mitigation (9 papers) and Advanced Memory and Neural Computing (8 papers). Amit Singh is often cited by papers focused on Enzyme Catalysis and Immobilization (11 papers), Arsenic contamination and mitigation (9 papers) and Advanced Memory and Neural Computing (8 papers). Amit Singh collaborates with scholars based in India, Taiwan and South Korea. Amit Singh's co-authors include Rudra Deo Tripathi, Garima Dixit, Prabodh Kumar Trivedi, Vivek Pandey, Amit Kumar, Sanjay Dwivedi, Pradyumna Kumar Singh, Debasis Chakrabarty, Seema Mishra and Uttam Chand Banerjee and has published in prestigious journals such as Advanced Materials, Journal of Hazardous Materials and Bioresource Technology.

In The Last Decade

Amit Singh

38 papers receiving 1.3k citations

Peers

Amit Singh

POLLU

EEE

Richa Dave India

Eleftherios Touloupakis Italy

Corinne Aubert France

Valentina A. Kratasyuk Russia

Thanyaporn Wongnate Thailand

Peijiang Zhou China

Gabriel Pérez‐Lucas Spain

Changhua Shang China

Wenxiu Xu China

Tonmoy Ghosh India

Richa Dave India

Amit Singh

366 ×0.6

460 ×0.9

272 ×1.0

POLLU

287 ×1.2

12 ×0.0

EEE

Citations per year, relative to Amit Singh Amit Singh (= 1×) peers Richa Dave

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

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20 of 20 papers shown

Rajbhar, Manoj K., Dayanand Kumar, Dhananjay D. Kumbhar, et al.. (2025). Fully photonic controlled flexible synapse for bionic machine vision and reconfigurable logic applications. Materials Science and Engineering R Reports. 167. 101088–101088.

Kumar, Dayanand, et al.. (2024). Negative photo conductivity triggered with visible light in wide bandgap oxide-based optoelectronic crossbar memristive array for photograph sensing and neuromorphic computing applications. 1(1). 6 indexed citations

Nagar, Vandan, Devendra Jain, Anuj Sharma, et al.. (2024). Nanoribbons as advanced nanomaterials for facile detection and efficient removal of heavy metals: a comprehensive review. International Journal of Environmental Science and Technology. 21(13). 8793–8802.

Singh, Amit, et al.. (2023). Controllable coexistence of threshold and non-volatile crosspoint memory for highly linear synaptic device applications. Journal of Physics D Applied Physics. 56(28). 285102–285102. 1 indexed citations

Kumar, Dayanand, et al.. (2022). Highly Efficient Invisible TaO_x/ZTO Bilayer Memristor for Neuromorphic Computing and Image Sensing. ACS Applied Electronic Materials. 4(5). 2180–2190. 30 indexed citations

Kumar, Dayanand, et al.. (2022). ZnSnO_y/ZnSnO_x Bilayer Transparent Memristive Synaptic Device for Neuromorphic Computing. IEEE Electron Device Letters. 43(8). 1211–1214. 10 indexed citations

Singh, Amit, et al.. (2021). Enhanced Linearity in CBRAM Synapse by Post Oxide Deposition Annealing for Neuromorphic Computing Applications. IEEE Transactions on Electron Devices. 68(11). 5578–5584. 36 indexed citations

Singh, Amit, et al.. (2021). Density Functional Theory Study on Sensing and Dielectric Properties of Arsenic Trisulfide Nanosheets for Detecting Volatile Organic Compounds. ACS Applied Nano Materials. 4(5). 5444–5453. 15 indexed citations

Singh, Pradyumna Kumar, Yuvraj Indoliya, Surendra Pratap Singh, et al.. (2017). Nitric oxide mediated transcriptional modulation enhances plant adaptive responses to arsenic stress. Scientific Reports. 7(1). 3592–3592. 104 indexed citations

10.

Singh, Amit, Garima Dixit, Amit Kumar, et al.. (2017). A protective role for nitric oxide and salicylic acid for arsenite phytotoxicity in rice ( Oryza sativa L.). Plant Physiology and Biochemistry. 115. 163–173. 103 indexed citations

11.

Singh, Amit, Garima Dixit, Amit Kumar, et al.. (2016). Nitric Oxide Alleviated Arsenic Toxicity by Modulation of Antioxidants and Thiol Metabolism in Rice (Oryza sativa L.). Frontiers in Plant Science. 6. 1272–1272. 105 indexed citations

12.

Kumar, Amit, Garima Dixit, Amit Singh, et al.. (2016). Selenate mitigates arsenite toxicity in rice (Oryza sativa L.) by reducing arsenic uptake and ameliorates amino acid content and thiol metabolism. Ecotoxicology and Environmental Safety. 133. 350–359. 59 indexed citations

13.

Dixit, Garima, Amit Singh, Amit Kumar, et al.. (2015). Sulfur alleviates arsenic toxicity by reducing its accumulation and modulating proteome, amino acids and thiol metabolism in rice leaves. Scientific Reports. 5(1). 16205–16205. 87 indexed citations

14.

Dixit, Garima, Amit Singh, Amit Kumar, et al.. (2015). Sulfur mediated reduction of arsenic toxicity involves efficient thiol metabolism and the antioxidant defense system in rice. Journal of Hazardous Materials. 298. 241–251. 154 indexed citations

15.

Singh, Amit, Garima Dixit, Seema Mishra, et al.. (2015). Salicylic acid modulates arsenic toxicity by reducing its root to shoot translocation in rice (Oryza sativa L.). Frontiers in Plant Science. 6. 340–340. 114 indexed citations

16.

Singh, Amit, Yusuf Chisti, & Uttam Chand Banerjee. (2011). Production of carbonyl reductase by Metschnikowia koreensis. Bioresource Technology. 102(22). 10679–10685. 8 indexed citations

17.

Bhattacharyya, Mani Shankar, Amit Singh, & Uttam Chand Banerjee. (2009). Immobilization of intracellular carbonyl reductase from Geotrichum candidum for the stereoselective reduction of 1-naphthyl ketone. Bioresource Technology. 101(6). 1581–1586. 17 indexed citations

18.

Singh, Amit, Abdul Basit, & Uttam Chand Banerjee. (2009). Burkholderia cenocepacia: a new biocatalyst for efficient bioreduction of ezetimibe intermediate. Journal of Industrial Microbiology & Biotechnology. 36(11). 1369–1374. 14 indexed citations

19.

Bhattacharyya, Mani Shankar, Amit Singh, & Uttam Chand Banerjee. (2008). Production of carbonyl reductase by Geotrichum candidum in a laboratory scale bioreactor. Bioresource Technology. 99(18). 8765–8770. 20 indexed citations

20.

Pachauri, A. K., Bharat Bhushan, & Amit Singh. (2006). Potential elevation-controlled rock-fall velocity zoning in a part of Garhwal Himalayas and risk perception. Current Science. 90(10). 1370–1377. 2 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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