A. L. Singh

890 total citations
64 papers, 580 citations indexed

About

A. L. Singh is a scholar working on Plant Science, Soil Science and Insect Science. According to data from OpenAlex, A. L. Singh has authored 64 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Plant Science, 14 papers in Soil Science and 13 papers in Insect Science. Recurrent topics in A. L. Singh's work include Peanut Plant Research Studies (20 papers), Agricultural Science and Fertilization (13 papers) and Rice Cultivation and Yield Improvement (13 papers). A. L. Singh is often cited by papers focused on Peanut Plant Research Studies (20 papers), Agricultural Science and Fertilization (13 papers) and Rice Cultivation and Yield Improvement (13 papers). A. L. Singh collaborates with scholars based in India, United States and France. A. L. Singh's co-authors include P. K. Singh, B. C. Ajay, Kuldeepsingh A. Kalariya, Koushik Chakraborty, Devi Dayal, S. K. Bera, Yogesh Joshi, Gregory N. Fuller, Narendra Kumar and K. Gangadhar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer and Oncogene.

In The Last Decade

A. L. Singh

60 papers receiving 534 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. L. Singh India 13 377 146 63 52 44 64 580
Peter J. Dittmar United States 12 333 0.9× 134 0.9× 24 0.4× 34 0.7× 43 1.0× 87 548
Wu‐Sheng Liang China 10 267 0.7× 127 0.9× 17 0.3× 30 0.6× 8 0.2× 14 358
Vadivelmurugan Irulappan India 7 670 1.8× 187 1.3× 32 0.5× 24 0.5× 48 1.1× 12 813
Kimiharu Ishizawa Japan 18 770 2.0× 288 2.0× 20 0.3× 17 0.3× 21 0.5× 37 912
Weihua Huang China 10 519 1.4× 489 3.3× 12 0.2× 31 0.6× 33 0.8× 16 820
Liuyi Yang China 15 511 1.4× 324 2.2× 20 0.3× 119 2.3× 16 0.4× 32 753
Pubudu Handakumbura United States 12 408 1.1× 195 1.3× 7 0.1× 76 1.5× 44 1.0× 25 594
Reetika Mahajan India 15 695 1.8× 119 0.8× 8 0.1× 31 0.6× 40 0.9× 42 905
Carole Santi France 10 722 1.9× 168 1.2× 9 0.1× 85 1.6× 96 2.2× 12 849
Xianqing Jia China 10 287 0.8× 133 0.9× 8 0.1× 22 0.4× 15 0.3× 24 384

Countries citing papers authored by A. L. Singh

Since Specialization
Citations

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

Fields of papers citing papers by A. L. Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. L. Singh

This figure shows the co-authorship network connecting the top 25 collaborators of A. L. Singh. A scholar is included among the top collaborators of A. L. 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 A. L. Singh. A. L. 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.
Singh, A. L., et al.. (2025). Artificial light at night accelerates aging processes in pre-pubertal female rats. Biogerontology. 26(4). 149–149.
2.
Dixit, Shalabh, et al.. (2025). Molecular Determinants of A9 Dopaminergic Neurons. NeuroMolecular Medicine. 27(1). 43–43.
3.
Singh, A. L., et al.. (2024). Berberine attenuates brain aging via stabilizing redox homeostasis and inflammation in an accelerated senescence model of Wistar rats. Metabolic Brain Disease. 39(5). 649–659. 4 indexed citations
4.
Singh, A. L., et al.. (2024). Curcumin protects against aging-related stress and dysfunction through autophagy activation in rat brain. Molecular Biology Reports. 51(1). 694–694. 6 indexed citations
5.
Singh, A. L., et al.. (2023). Berberine may provide redox homeostasis during aging in rats. Zeitschrift für Naturforschung C. 78(7-8). 307–315. 4 indexed citations
6.
Singh, A. L., et al.. (2023). Anti-inflammatory effect of curcumin in an accelerated senescence model of Wistar rat: an in vivo and in-silico study. Journal of Biomolecular Structure and Dynamics. 43(3). 1459–1470. 4 indexed citations
7.
Singh, A. L., et al.. (2023). Curcumin displays a potent caloric restriction mimetic effect in an accelerated senescent model of rat. Biologia Futura. 74(1-2). 221–229. 5 indexed citations
8.
Mann, Anita, et al.. (2023). Exploiting genetic variation for lime-induced iron-deficiency chlorosis in groundnut (Arachis hypogaea). SHILAP Revista de lepidopterología. 88(3). 482–488. 1 indexed citations
9.
Kalariya, Kuldeepsingh A., et al.. (2018). Physiological plasticity of Arachis hypogaea cultivars under drought conditions of semiarid region of India.. Journal of Food Legumes. 31(2). 106–113. 1 indexed citations
10.
Ajay, B. C., et al.. (2017). Response of different peanut genotypes to reduced phosphorous availability. Indian Journal of Genetics and Plant Breeding (The). 77(1). 105–105. 5 indexed citations
11.
Singh, A. L., et al.. (2015). Screening of groundnut genotypes for phosphorus efficiency under field conditions. Indian Journal of Genetics and Plant Breeding (The). 75(3). 363–363. 6 indexed citations
12.
Singh, A. L. & P. K. Singh. (2013). COMPARATIVE STUDY ON AZOLLA AND BLUE-GREEN ALGAE DUAL CULTURE WITH RICE. Israel journal of botany. Basic and applied plant sciences. 36(2). 53–61. 2 indexed citations
13.
Bera, S. K., B. C. Ajay, & A. L. Singh. (2013). WRKY and Na + /H + antiporter genes conferring tolerance to salinity in interspecific derivatives of peanut (Arachis hypogaea L.). Australian Journal of Crop Science. 7(8). 1173–1180. 6 indexed citations
14.
Das, Chandra, Pete Taylor, Monica Gireud, et al.. (2012). The deubiquitylase USP37 links REST to the control of p27 stability and cell proliferation. Oncogene. 32(13). 1691–1701. 35 indexed citations
15.
Meena, H. N., et al.. (2011). Weed management in groundnut (Arachis Hypogaea L.) In India - A Review. Agricultural Reviews. 32(3). 155–171. 19 indexed citations
16.
Singh, A. L., Monica Gireud, Stephen A. Fletcher, et al.. (2011). Retinoic acid induces REST degradation and neuronal differentiation by modulating the expression of SCFβ‐TRCP in neuroblastoma cells. Cancer. 117(22). 5189–5202. 47 indexed citations
17.
Singh, Shamsher, et al.. (2010). Genetic diversity for growth, yield and quality traits in groundnut (Arachis hypogaea L.).. Indian Journal of Plant Physiology. 15(3). 267–271. 1 indexed citations
18.
Singh, A. L. & Yogesh Joshi. (1993). Comparative studies on the chlorophyll content, growth, N uptake and yield of groundnut varieties of different habit groups. Oléagineux. 48(1). 27–34. 8 indexed citations
19.
Singh, A. L. & P. K. Singh. (1990). Intercropping of Azolla biofertilizer with rice at different crop geometry.. Tropical Agriculture. 67(4). 350–354. 9 indexed citations
20.
Singh, A. L. & P. K. Singh. (1990). Phosphorus fertilization and the growth and N2-fixation of Azolla and blue-green algae in rice field.. Indian Journal of Plant Physiology. 33(1). 21–26. 5 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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