Ashutosh Dhingra

1.0k total citations
11 papers, 124 citations indexed

About

Ashutosh Dhingra is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Ashutosh Dhingra has authored 11 papers receiving a total of 124 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Neurology. Recurrent topics in Ashutosh Dhingra's work include Neuroscience and Neural Engineering (3 papers), RNA Research and Splicing (3 papers) and Amyotrophic Lateral Sclerosis Research (3 papers). Ashutosh Dhingra is often cited by papers focused on Neuroscience and Neural Engineering (3 papers), RNA Research and Splicing (3 papers) and Amyotrophic Lateral Sclerosis Research (3 papers). Ashutosh Dhingra collaborates with scholars based in Germany, United States and Switzerland. Ashutosh Dhingra's co-authors include Peter Heutink, Melissa Castillo-Lizardo, Patrizia Rizzu, Cornelis Blauwendraat, Javier Simón‐Sánchez, Margherita Francescatto, Neeta Adhikari, Emily M. Lynes, I. S. Grover and Elwira Pyż and has published in prestigious journals such as PLoS Pathogens, Scientific Data and Journal of Visualized Experiments.

In The Last Decade

Ashutosh Dhingra

10 papers receiving 122 citations

Peers

Ashutosh Dhingra
Michael Murn United States
Christopher P. Cali United States
Prachi Mehta Australia
Ashley LeClerc United States
Nicole Washecka United States
Ashutosh Dhingra
Citations per year, relative to Ashutosh Dhingra Ashutosh Dhingra (= 1×) peers Melissa Castillo-Lizardo

Countries citing papers authored by Ashutosh Dhingra

Since Specialization
Citations

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

Fields of papers citing papers by Ashutosh Dhingra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashutosh Dhingra

This figure shows the co-authorship network connecting the top 25 collaborators of Ashutosh Dhingra. A scholar is included among the top collaborators of Ashutosh Dhingra 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 Ashutosh Dhingra. Ashutosh Dhingra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Frick, Lukas, Johannes C. M. Schlachetzki, Andrea Armani, et al.. (2024). Direct and indirect regulation of β-glucocerebrosidase by the transcription factors USF2 and ONECUT2. npj Parkinson s Disease. 10(1). 192–192.
2.
Menden, Kevin, Margherita Francescatto, Cornelis Blauwendraat, et al.. (2023). A multi-omics dataset for the analysis of frontotemporal dementia genetic subtypes. Scientific Data. 10(1). 849–849. 6 indexed citations
3.
Pal, Arun, Masin Abo-Rady, Marcel Naumann, et al.. (2021). Concomitant gain and loss of function pathomechanisms in C9ORF72 amyotrophic lateral sclerosis. Life Science Alliance. 4(4). e202000764–e202000764. 11 indexed citations
4.
Dhingra, Ashutosh, Florian Wegner, Dietrich Trümbach, et al.. (2021). iPS Cell-Based Model for MAPT Haplotype as a Risk Factor for Human Tauopathies Identifies No Major Differences in TAU Expression. Frontiers in Cell and Developmental Biology. 9. 726866–726866. 4 indexed citations
5.
Dhingra, Ashutosh, Jiang‐An Yin, Marc Emmenegger, et al.. (2021). Novel regulators of PrPC biosynthesis revealed by genome-wide RNA interference. PLoS Pathogens. 17(10). e1010013–e1010013. 2 indexed citations
6.
Dhingra, Ashutosh, Elisângela Bressan, Salvador Rodrı́guez-Nieto, et al.. (2020). Automated Production of Human Induced Pluripotent Stem Cell-Derived Cortical and Dopaminergic Neurons with Integrated Live-Cell Monitoring. Journal of Visualized Experiments. 2 indexed citations
7.
Dhingra, Ashutosh, Elisângela Bressan, Salvador Rodrı́guez-Nieto, et al.. (2020). Automated Production of Human Induced Pluripotent Stem Cell-Derived Cortical and Dopaminergic Neurons with Integrated Live-Cell Monitoring. Journal of Visualized Experiments. 13 indexed citations
8.
Dhingra, Ashutosh, Betül Seher Uysal, Gina E. Elsen, et al.. (2020). In Vitro Differentiated Human Stem Cell-Derived Neurons Reproduce Synaptic Synchronicity Arising during Neurodevelopment. Stem Cell Reports. 15(1). 22–37. 19 indexed citations
9.
Rizzu, Patrizia, Cornelis Blauwendraat, Sasja Heetveld, et al.. (2016). C9orf72 is differentially expressed in the central nervous system and myeloid cells and consistently reduced in C9orf72, MAPT and GRN mutation carriers. Acta Neuropathologica Communications. 4(1). 37–37. 52 indexed citations
10.
Grover, I. S., et al.. (1990). Genotoxicity of pesticides and plant systems.. PubMed. 340E. 91–106. 10 indexed citations
11.
Dhingra, Ashutosh, I. S. Grover, & Neeta Adhikari. (1990). Chromosomal aberration and micronuclei assays of some systemic pesticides in bone marrow cells.. 33. 14–19. 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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