Manish Jaiswal

3.3k total citations · 1 hit paper
31 papers, 2.0k citations indexed

About

Manish Jaiswal is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Manish Jaiswal has authored 31 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 10 papers in Cell Biology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Manish Jaiswal's work include Mitochondrial Function and Pathology (11 papers), Cellular transport and secretion (7 papers) and ATP Synthase and ATPases Research (5 papers). Manish Jaiswal is often cited by papers focused on Mitochondrial Function and Pathology (11 papers), Cellular transport and secretion (7 papers) and ATP Synthase and ATPases Research (5 papers). Manish Jaiswal collaborates with scholars based in United States, India and China. Manish Jaiswal's co-authors include Hugo J. Bellen, Héctor Sandoval, Shinya Yamamoto, Ke Zhang, Brett H. Graham, Vafa Bayat, Zhihong Li, Elisenda Sanz, Albert Quintana and Jessica Hui and has published in prestigious journals such as Science, Cell and Nucleic Acids Research.

In The Last Decade

Manish Jaiswal

29 papers receiving 2.0k citations

Hit Papers

Glial Lipid Droplets and ROS Induced by Mitochondrial Def... 2015 2026 2018 2022 2015 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manish Jaiswal United States 22 1.3k 467 450 314 246 31 2.0k
Bruno Gasnier France 25 1.1k 0.8× 598 1.3× 558 1.2× 406 1.3× 409 1.7× 37 2.2k
Robert C. Cumming Canada 20 1.2k 0.9× 244 0.5× 226 0.5× 499 1.6× 155 0.6× 33 1.9k
Marı́a D. Ganfornina Spain 30 1.2k 0.9× 615 1.3× 254 0.6× 432 1.4× 96 0.4× 60 2.4k
Neelam Shahani United States 26 1.5k 1.1× 696 1.5× 262 0.6× 588 1.9× 109 0.4× 39 2.6k
Diego Sánchez Spain 28 1.0k 0.8× 485 1.0× 201 0.4× 373 1.2× 98 0.4× 58 2.2k
Byoung-Il Bae United States 13 1.5k 1.2× 477 1.0× 310 0.7× 211 0.7× 64 0.3× 17 2.0k
Pedro Brites Portugal 22 1.4k 1.0× 212 0.5× 172 0.4× 453 1.4× 224 0.9× 41 1.9k
Yi‐Shuian Huang Taiwan 25 1.7k 1.3× 463 1.0× 249 0.6× 177 0.6× 72 0.3× 69 2.3k
Radha Ayyagari United States 36 2.8k 2.1× 322 0.7× 477 1.1× 224 0.7× 189 0.8× 126 3.7k

Countries citing papers authored by Manish Jaiswal

Since Specialization
Citations

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

Fields of papers citing papers by Manish Jaiswal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manish Jaiswal

This figure shows the co-authorship network connecting the top 25 collaborators of Manish Jaiswal. A scholar is included among the top collaborators of Manish Jaiswal 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 Manish Jaiswal. Manish Jaiswal 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.
Medishetti, Raghavender, et al.. (2024). EYA protein complex is required for Wntless retrograde trafficking from endosomes to Golgi. Developmental Cell. 59(18). 2443–2459.e7. 3 indexed citations
2.
Zhang, Menghuan, Tingting Xiao, Zhe Zhang, et al.. (2024). DYRK1A interacts with the tuberous sclerosis complex and promotes mTORC1 activity. eLife. 12.
3.
Pandey, Priyanka, et al.. (2023). Bendless is essential for PINK1-Park mediated Mitofusin degradation under mitochondrial stress caused by loss of LRPPRC. PLoS Genetics. 19(4). e1010493–e1010493. 4 indexed citations
5.
Zhang, Menghuan, Tingting Xiao, Zhe Zhang, et al.. (2023). DYRK1A interacts with the tuberous sclerosis complex and promotes mTORC1 activity. eLife. 12. 3 indexed citations
6.
Datta, Sayantan & Manish Jaiswal. (2021). Mitochondrial calcium at the synapse. Mitochondrion. 59. 135–153. 45 indexed citations
7.
Xu, Zhen, Yan‐Ning Rui, Wu‐Lin Charng, et al.. (2016). WAC Regulates mTOR Activity by Acting as an Adaptor for the TTT and Pontin/Reptin Complexes. Developmental Cell. 36(2). 139–151. 46 indexed citations
8.
Li, Tongchao, Junkai Fan, Bernardo Blanco‐Sánchez, et al.. (2016). Ubr3, a Novel Modulator of Hh Signaling Affects the Degradation of Costal-2 and Kif7 through Poly-ubiquitination. PLoS Genetics. 12(5). e1006054–e1006054. 22 indexed citations
9.
Zhang, Yongping, Weina Shang, Sonal Nagarkar-Jaiswal, et al.. (2015). A Voltage-Gated Calcium Channel Regulates Lysosomal Fusion with Endosomes and Autophagosomes and Is Required for Neuronal Homeostasis. PLoS Biology. 13(3). e1002103–e1002103. 79 indexed citations
10.
Zhang, Ke, Héctor Sandoval, Shinya Yamamoto, et al.. (2015). Glial Lipid Droplets and ROS Induced by Mitochondrial Defects Promote Neurodegeneration. Cell. 160(1-2). 177–190. 658 indexed citations breakdown →
11.
Jaiswal, Manish, Nele A Haelterman, Héctor Sandoval, et al.. (2015). Impaired Mitochondrial Energy Production Causes Light-Induced Photoreceptor Degeneration Independent of Oxidative Stress. PLoS Biology. 13(7). e1002197–e1002197. 46 indexed citations
12.
Zhou, Jia, Wei Liu, Xiuying Duan, et al.. (2015). Dynamin Regulates Autophagy by Modulating Lysosomal Function. Journal of genetics and genomics. 43(2). 77–86. 19 indexed citations
13.
Haelterman, Nele A, Lichun Jiang, Yumei Li, et al.. (2014). Large-scale identification of chemically induced mutations in Drosophila melanogaster. Genome Research. 24(10). 1707–1718. 49 indexed citations
14.
Wang, Shiuan, Kai Li Tan, Melina A. Agosto, et al.. (2014). The Retromer Complex Is Required for Rhodopsin Recycling and Its Loss Leads to Photoreceptor Degeneration. PLoS Biology. 12(4). e1001847–e1001847. 63 indexed citations
15.
Charng, Wu‐Lin, Shinya Yamamoto, Manish Jaiswal, et al.. (2014). Drosophila Tempura, a Novel Protein Prenyltransferase α Subunit, Regulates Notch Signaling Via Rab1 and Rab11. PLoS Biology. 12(1). e1001777–e1001777. 42 indexed citations
16.
Sandoval, Héctor, Chi‐Kuang Yao, Kuchuan Chen, et al.. (2014). Mitochondrial fusion but not fission regulates larval growth and synaptic development through steroid hormone production. eLife. 3. 105 indexed citations
17.
Yamamoto, Shinya, Wu‐Lin Charng, Nadia A. Rana, et al.. (2012). A Mutation in EGF Repeat-8 of Notch Discriminates Between Serrate/Jagged and Delta Family Ligands. Science. 338(6111). 1229–1232. 75 indexed citations
18.
Xiong, Bo, Vafa Bayat, Manish Jaiswal, et al.. (2012). Crag Is a GEF for Rab11 Required for Rhodopsin Trafficking and Maintenance of Adult Photoreceptor Cells. PLoS Biology. 10(12). e1001438–e1001438. 78 indexed citations
19.
Bayat, Vafa, Isabelle Thiffault, Manish Jaiswal, et al.. (2012). Mutations in the Mitochondrial Methionyl-tRNA Synthetase Cause a Neurodegenerative Phenotype in Flies and a Recessive Ataxia (ARSAL) in Humans. PLoS Biology. 10(3). e1001288–e1001288. 121 indexed citations
20.
Bayat, Vafa, Manish Jaiswal, & Hugo J. Bellen. (2010). The BMP signaling pathway at the Drosophila neuromuscular junction and its links to neurodegenerative diseases. Current Opinion in Neurobiology. 21(1). 182–188. 79 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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