Adish Dani

2.1k total citations · 1 hit paper
24 papers, 1.6k citations indexed

About

Adish Dani is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Adish Dani has authored 24 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 5 papers in Cell Biology. Recurrent topics in Adish Dani's work include Neurobiology and Insect Physiology Research (5 papers), Ion Channels and Receptors (3 papers) and Cellular Mechanics and Interactions (3 papers). Adish Dani is often cited by papers focused on Neurobiology and Insect Physiology Research (5 papers), Ion Channels and Receptors (3 papers) and Cellular Mechanics and Interactions (3 papers). Adish Dani collaborates with scholars based in United States, Italy and India. Adish Dani's co-authors include Bo Huang, Joseph F. Bergan, Catherine Dulac, Xiaowei Zhuang, Lei Zhang, Andréy S. Shaw, Achille Cittadini, Hani Suleiman, Jeffrey H. Miner and Allison M. Lake and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

In The Last Decade

Adish Dani

24 papers receiving 1.5k citations

Hit Papers

Superresolution Imaging of Chemical Synapses in the Brain 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adish Dani United States 16 684 374 343 210 183 24 1.6k
Fumiyoshi Ishidate Japan 15 946 1.4× 177 0.5× 285 0.8× 190 0.9× 76 0.4× 22 1.7k
Edwin D.W. Moore Canada 30 1.8k 2.6× 582 1.6× 251 0.7× 299 1.4× 54 0.3× 73 2.7k
Farida Korobova United States 15 1.3k 1.9× 577 1.5× 127 0.4× 865 4.1× 156 0.9× 18 2.2k
Jan Schmoranzer Germany 24 1.8k 2.6× 348 0.9× 339 1.0× 1.6k 7.7× 148 0.8× 44 2.9k
Hartmann Harz Germany 24 1.4k 2.1× 465 1.2× 204 0.6× 235 1.1× 41 0.2× 43 2.2k
John Dempster United Kingdom 22 749 1.1× 415 1.1× 141 0.4× 70 0.3× 38 0.2× 48 1.5k
Karl‐Johan Leuchowius Sweden 11 2.3k 3.3× 293 0.8× 117 0.3× 616 2.9× 181 1.0× 15 3.2k
Soichiro Kakuta Japan 19 622 0.9× 71 0.2× 51 0.1× 525 2.5× 787 4.3× 55 1.5k
Congying Wu China 23 961 1.4× 160 0.4× 170 0.5× 827 3.9× 79 0.4× 61 2.1k
Esther García Spain 20 602 0.9× 132 0.4× 123 0.4× 252 1.2× 123 0.7× 39 1.2k

Countries citing papers authored by Adish Dani

Since Specialization
Citations

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

Fields of papers citing papers by Adish Dani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adish Dani

This figure shows the co-authorship network connecting the top 25 collaborators of Adish Dani. A scholar is included among the top collaborators of Adish Dani 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 Adish Dani. Adish Dani 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
2.
Sakers, Kristina, Allison M. Lake, Rohan Khazanchi, et al.. (2017). Astrocytes locally translate transcripts in their peripheral processes. Proceedings of the National Academy of Sciences. 114(19). E3830–E3838. 131 indexed citations
3.
Ouwenga, Rebecca, Allison M. Lake, David O’Brien, et al.. (2017). Transcriptomic Analysis of Ribosome-Bound mRNA in Cortical Neurites In Vivo. Journal of Neuroscience. 37(36). 8688–8705. 40 indexed citations
5.
Li, Peiyao, et al.. (2016). α-SNAP regulates dynamic, on-site assembly and calcium selectivity of Orai1 channels. Molecular Biology of the Cell. 27(16). 2542–2553. 21 indexed citations
6.
Park, Dongkook, Peiyao Li, Adish Dani, & Paul H. Taghert. (2014). Peptidergic Cell-Specific Synaptotagmins inDrosophila: Localization to Dense-Core Granules and Regulation by the bHLH Protein DIMMED. Journal of Neuroscience. 34(39). 13195–13207. 17 indexed citations
7.
Graham, Daniel B., Douglas G. Osborne, Joshua Piotrowski, et al.. (2014). Dendritic Cells Utilize the Evolutionarily Conserved WASH and Retromer Complexes to Promote MHCII Recycling and Helper T Cell Priming. PLoS ONE. 9(6). e98606–e98606. 14 indexed citations
8.
Yu, Haiyang, Hani Suleiman, Alfred H.J. Kim, et al.. (2013). Rac1 Activation in Podocytes Induces Rapid Foot Process Effacement and Proteinuria. Molecular and Cellular Biology. 33(23). 4755–4764. 95 indexed citations
9.
Suleiman, Hani, Lei Zhang, Robyn Roth, et al.. (2013). Nanoscale protein architecture of the kidney glomerular basement membrane. eLife. 2. e01149–e01149. 136 indexed citations
10.
Miner, Cathrine A., et al.. (2013). An essential and NSF independent role for α-SNAP in store-operated calcium entry. eLife. 2. e00802–e00802. 34 indexed citations
11.
Hwang, Seungmin, Monique W. Bruinsma, Gautam Goel, et al.. (2012). Nondegradative Role of Atg5-Atg12/ Atg16L1 Autophagy Protein Complex in Antiviral Activity of Interferon Gamma. Cell Host & Microbe. 11(4). 397–409. 201 indexed citations
12.
Dani, Adish, Bo Huang, Joseph F. Bergan, Catherine Dulac, & Xiaowei Zhuang. (2010). Superresolution Imaging of Chemical Synapses in the Brain. Neuron. 68(5). 843–856. 524 indexed citations breakdown →
13.
Dani, Adish & Bo Huang. (2010). New resolving power for light microscopy: applications to neurobiology. Current Opinion in Neurobiology. 20(5). 648–652. 11 indexed citations
14.
Dani, Adish, Ashutosh Chaudhry, Paushali Mukherjee, et al.. (2004). The pathway for MHCII-mediated presentation of endogenous proteins involves peptide transport to the endo-lysosomal compartment. Journal of Cell Science. 117(18). 4219–4230. 62 indexed citations
15.
Mukherjee, Paushali, Adish Dani, Sumeena Bhatia, et al.. (2001). Efficient Presentation of Both Cytosolic and Endogenous Transmembrane Protein Antigens on MHC Class II Is Dependent on Cytoplasmic Proteolysis. The Journal of Immunology. 167(5). 2632–2641. 56 indexed citations
16.
Cittadini, Achille, et al.. (1982). Calcium permeability of Ehrlich ascites tumour cell plasma membrane in vivo. Biochimica et Biophysica Acta (BBA) - Biomembranes. 686(1). 27–35. 21 indexed citations
17.
Cittadini, Achille, et al.. (1981). Lack of effect of the Ca2+ ionophore A23187 on tumour cells. Biochimica et Biophysica Acta (BBA) - Biomembranes. 645(2). 177–182. 30 indexed citations
18.
Dani, Adish, Achille Cittadini, & Giuseppe Inesi. (1979). Calcium transport and contractile activity in dissociated mammalian heart cells. American Journal of Physiology-Cell Physiology. 237(3). C147–C155. 58 indexed citations
19.
Dani, Adish, et al.. (1978). ?Calcium metabolism in intact isolated thymocytes?. Molecular and Cellular Biochemistry. 22(2-3). 139–146. 10 indexed citations
20.
Dani, Adish, Gianna Maria Bartoli, & Tommaso Galeotti. (1977). The operation of the malate-aspartate shuttle in the reoxidation of glycolytic NADH in slices of fetal rat liver. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 462(3). 781–784. 1 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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