Sambashiva Banala

2.0k total citations · 1 hit paper
16 papers, 1.2k citations indexed

About

Sambashiva Banala is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Biophysics. According to data from OpenAlex, Sambashiva Banala has authored 16 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 5 papers in Biophysics. Recurrent topics in Sambashiva Banala's work include Photoreceptor and optogenetics research (6 papers), Advanced Fluorescence Microscopy Techniques (5 papers) and Advanced biosensing and bioanalysis techniques (5 papers). Sambashiva Banala is often cited by papers focused on Photoreceptor and optogenetics research (6 papers), Advanced Fluorescence Microscopy Techniques (5 papers) and Advanced biosensing and bioanalysis techniques (5 papers). Sambashiva Banala collaborates with scholars based in United States, Switzerland and France. Sambashiva Banala's co-authors include Luke D. Lavis, Peng Dong, Robert Tjian, Zhe Liu, Xavier Darzacq, Gina M. Dailey, Claire Dugast‐Darzacq, Alec Heckert, Shasha Chong and Claudia Cattoglio and has published in prestigious journals such as Science, Cell and Journal of the American Chemical Society.

In The Last Decade

Sambashiva Banala

16 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Imaging dynamic and selective low-complexity domain interactions that control gene transcription

2018 673 citations Shasha Chong, Claire Dugast‐Darzacq et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sambashiva Banala United States	11	957	132	121	106	91	16	1.2k
Liangqi Xie United States	12	963 1.0×	192 1.5×	44 0.4×	92 0.9×	100 1.1×	21	1.3k
Peng Dong United States	13	1.4k 1.5×	292 2.2×	96 0.8×	111 1.0×	107 1.2×	19	1.8k
Tsz‐Leung To United States	14	726 0.8×	94 0.7×	122 1.0×	134 1.3×	75 0.8×	18	1.0k
Linda Joosen Netherlands	10	874 0.9×	335 2.5×	162 1.3×	92 0.9×	84 0.9×	12	1.2k
Robert DeRose United States	9	579 0.6×	47 0.4×	119 1.0×	108 1.0×	86 0.9×	11	766
Ippei Kotera Japan	12	569 0.6×	166 1.3×	138 1.1×	49 0.5×	60 0.7×	14	843
Martin Stöckl Germany	18	912 1.0×	63 0.5×	101 0.8×	58 0.5×	112 1.2×	24	1.3k
Bryce T. Bajar United States	11	950 1.0×	355 2.7×	237 2.0×	68 0.6×	105 1.2×	16	1.4k
Takako Kogure Japan	8	662 0.7×	286 2.2×	114 0.9×	45 0.4×	64 0.7×	9	1.1k
Francesca De Giorgi Italy	13	615 0.6×	232 1.8×	131 1.1×	51 0.5×	72 0.8×	15	887

Countries citing papers authored by Sambashiva Banala

Since Specialization

Citations

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

Fields of papers citing papers by Sambashiva Banala

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sambashiva Banala

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

All Works

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16 of 16 papers shown

1.

Banala, Sambashiva, et al.. (2024). Elucidating and Optimizing the Photochemical Mechanism of Coumarin-Caged Tertiary Amines. Journal of the American Chemical Society. 146(30). 20627–20635. 2 indexed citations

2.

Sheu, Shu‐Hsien, Srigokul Upadhyayula, Song Pang, et al.. (2022). A serotonergic axon-cilium synapse drives nuclear signaling to alter chromatin accessibility. Cell. 185(18). 3390–3407.e18. 94 indexed citations

3.

Banala, Sambashiva, Ariana N. Tkachuk, Ronak Patel, et al.. (2022). 2,7-Diaminobenzopyrylium Dyes Are Live-Cell Mitochondrial Stains. PubMed. 2(3). 307–312. 6 indexed citations

4.

Xie, Liangqi, Peng Dong, Xingqi Chen, et al.. (2020). 3D ATAC-PALM: super-resolution imaging of the accessible genome. Nature Methods. 17(4). 430–436. 55 indexed citations

5.

Wokosin, David L., et al.. (2019). Probing Nicotinic Acetylcholine Receptor Function in Mouse Brain Slices via Laser Flash Photolysis of Photoactivatable Nicotine. Journal of Visualized Experiments. 6 indexed citations

6.

Wokosin, David L., et al.. (2019). Probing Nicotinic Acetylcholine Receptor Function in Mouse Brain Slices via Laser Flash Photolysis of Photoactivatable Nicotine. Journal of Visualized Experiments. 3 indexed citations

7.

Chong, Shasha, Claire Dugast‐Darzacq, Zhe Liu, et al.. (2018). Imaging dynamic and selective low-complexity domain interactions that control gene transcription. Science. 361(6400). 673 indexed citations breakdown →

8.

Banala, Sambashiva, Nicholas M. Bannon, J. J. Macklin, et al.. (2018). Photoactivatable drugs for nicotinic optopharmacology. Nature Methods. 15(5). 347–350. 42 indexed citations

9.

Yan, Yijin, Can Peng, Yong Wang, et al.. (2018). Nicotinic Cholinergic Receptors in VTA Glutamate Neurons Modulate Excitatory Transmission. Cell Reports. 23(8). 2236–2244. 40 indexed citations

10.

Chong, Shasha, Claire Dugast‐Darzacq, Zhe Liu, et al.. (2018). Imaging dynamic and selective low-complexity domain interactions that control gene transcription. Zenodo (CERN European Organization for Nuclear Research). 6 indexed citations

11.

Banala, Sambashiva, et al.. (2013). Switchable Reporter Enzymes Based on Mutually Exclusive Domain Interactions Allow Antibody Detection Directly in Solution. ACS Chemical Biology. 8(10). 2127–2132. 52 indexed citations

12.

Banala, Sambashiva, Remco Arts, Stijn J. A. Aper, & Maarten Merkx. (2013). No washing, less waiting: engineering biomolecular reporters for single-step antibody detection in solution. Organic & Biomolecular Chemistry. 11(44). 7642–7642. 27 indexed citations

13.

Campos, Cláudia, Mako Kamiya, Sambashiva Banala, Kai Johnsson, & Marcos González‐Gaitán. (2011). Labelling cell structures and tracking cell lineage in zebrafish using SNAP‐tag. Developmental Dynamics. 240(4). 820–827. 28 indexed citations

14.

Dellagiacoma, Claudio, Gražvydas Lukinavičius, Noelia L. Bocchio, et al.. (2010). Targeted Photoswitchable Probe for Nanoscopy of Biological Structures. ChemBioChem. 11(10). 1361–1363. 16 indexed citations

15.

Maurel, Damien, Sambashiva Banala, Thierry Laroche, & Kai Johnsson. (2010). Photoactivatable and Photoconvertible Fluorescent Probes for Protein Labeling. ACS Chemical Biology. 5(5). 507–516. 93 indexed citations

16.

Banala, Sambashiva, et al.. (2007). Caged Substrates for Protein Labeling and Immobilization. ChemBioChem. 9(1). 38–41. 23 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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