Prashant Singh

403 total citations
11 papers, 297 citations indexed

About

Prashant Singh is a scholar working on Cell Biology, Molecular Biology and Plant Science. According to data from OpenAlex, Prashant Singh has authored 11 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cell Biology, 4 papers in Molecular Biology and 4 papers in Plant Science. Recurrent topics in Prashant Singh's work include Plant Pathogens and Fungal Diseases (4 papers), Fermentation and Sensory Analysis (3 papers) and Horticultural and Viticultural Research (3 papers). Prashant Singh is often cited by papers focused on Plant Pathogens and Fungal Diseases (4 papers), Fermentation and Sensory Analysis (3 papers) and Horticultural and Viticultural Research (3 papers). Prashant Singh collaborates with scholars based in Germany, India and Italy. Prashant Singh's co-authors include Sylvain Santoni, Patrice This, Jean‐Pierre Péros, Joyjyoti Das, Bibhas Roy, Tapas K. Maiti, Sujit K. Bhutia, Jürgen Borlak, Birendra Behera and Yari Ciribilli and has published in prestigious journals such as Scientific Reports, Molecular Cancer and RSC Advances.

In The Last Decade

Prashant Singh

11 papers receiving 295 citations

Peers

Prashant Singh

MB

PS

CB

EPIDE

FS

Mamta Goswami India

Guojun Yu China

Hui Su China

Halyna Fedosyuk United States

Débora Dummer Meira Brazil

Li‐Ting Ma Taiwan

Wenjun Wang China

Pathrapol Lithanatudom Thailand

Ying Gui China

Mamta Goswami India

Prashant Singh

218 ×1.6

MB

130 ×1.1

PS

41 ×0.6

CB

30 ×0.7

EPIDE

18 ×0.5

FS

Citations per year, relative to Prashant Singh Prashant Singh (= 1×) peers Mamta Goswami

Countries citing papers authored by Prashant Singh

Since Specialization

Citations

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

Fields of papers citing papers by Prashant Singh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prashant Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Prashant Singh. A scholar is included among the top collaborators of Prashant 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 Prashant Singh. Prashant 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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11 of 11 papers shown

1.

Zhai, Yanan, Prashant Singh, Anna Dolnik, et al.. (2022). Longitudinal single-cell transcriptomics reveals distinct patterns of recurrence in acute myeloid leukemia. Molecular Cancer. 21(1). 166–166. 24 indexed citations

2.

Singh, Prashant, et al.. (2019). Understanding the phyllosphere microbiome assemblage in grape species (Vitaceae) with amplicon sequence data structures. Scientific Reports. 9(1). 14294–14294. 43 indexed citations

3.

Singh, Monika, et al.. (2018). Enumeration of Culturable Endophytic Bacterial Population of Different Lycopersicum esculentum L. Varieties. International Journal of Current Microbiology and Applied Sciences. 7(2). 3344–3352. 4 indexed citations

4.

Singh, Prashant, Sylvain Santoni, Patrice This, & Jean‐Pierre Péros. (2018). Genotype-Environment Interaction Shapes the Microbial Assemblage in Grapevine’s Phyllosphere and Carposphere: An NGS Approach. Microorganisms. 6(4). 96–96. 53 indexed citations

5.

Singh, Prashant, Alex Gobbi, Sylvain Santoni, et al.. (2018). Assessing the impact of plant genetic diversity in shaping the microbial community structure of Vitis vinifera phyllosphere in the Mediterranean. SPIRE - Sciences Po Institutional REpository. 11(1). 35–46. 22 indexed citations

6.

Singh, Prashant. (2018). LGBT DIVERSITY AND INCLUSION AT WORKPLACE – AN ANALYSIS OF CHANGING DEMOGRAPHICS . 9(2). 8 indexed citations

7.

Ciribilli, Yari, Prashant Singh, Alberto Inga, & Jürgen Borlak. (2016). c-Myc targeted regulators of cell metabolism in a transgenic mouse model of papillary lung adenocarcinoma. Oncotarget. 7(40). 65514–65539. 19 indexed citations

8.

Devi, K. Sanjana P., et al.. (2015). AMPK-mediated crosstalk of heteroglycan-induced reactive species and autophagic cascade in RAW 264.7 cells. RSC Advances. 5(49). 38964–38970. 2 indexed citations

9.

Ciribilli, Yari, Prashant Singh, Reinhard Spanel, Alberto Inga, & Jürgen Borlak. (2015). Decoding c-Myc networks of cell cycle and apoptosis regulated genes in a transgenic mouse model of papillary lung adenocarcinomas. Oncotarget. 6(31). 31569–31592. 24 indexed citations

10.

Borlak, Jürgen, et al.. (2015). Proteome mapping of epidermal growth factor induced hepatocellular carcinomas identifies novel cell metabolism targets and mitogen activated protein kinase signalling events. BMC Genomics. 16(1). 124–124. 9 indexed citations

11.

Roy, Bibhas, Joyjyoti Das, Sujit K. Bhutia, et al.. (2014). Role of PI3K/Akt/mTOR and MEK/ERK pathway in Concanavalin A induced autophagy in HeLa cells. Chemico-Biological Interactions. 210. 96–102. 89 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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