Debajit Saha

673 total citations
22 papers, 390 citations indexed

About

Debajit Saha is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Biomedical Engineering. According to data from OpenAlex, Debajit Saha has authored 22 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cellular and Molecular Neuroscience, 10 papers in Sensory Systems and 9 papers in Biomedical Engineering. Recurrent topics in Debajit Saha's work include Neurobiology and Insect Physiology Research (14 papers), Olfactory and Sensory Function Studies (10 papers) and Advanced Chemical Sensor Technologies (8 papers). Debajit Saha is often cited by papers focused on Neurobiology and Insect Physiology Research (14 papers), Olfactory and Sensory Function Studies (10 papers) and Advanced Chemical Sensor Technologies (8 papers). Debajit Saha collaborates with scholars based in United States, India and Australia. Debajit Saha's co-authors include Baranidharan Raman, Steven Peterson, Chao Li, Pratim Biswas, Ramesh Raliya, Tandeep S. Chadha, Viktor Gruev, Timothy York, Nicholas W. Roberts and Shengkui Gao and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Debajit Saha

19 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Debajit Saha United States 11 175 175 88 71 58 22 390
Matthew Berck United States 6 365 2.1× 133 0.8× 54 0.6× 65 0.9× 45 0.8× 6 693
Thomas Blüm Germany 7 137 0.8× 114 0.7× 25 0.3× 90 1.3× 62 1.1× 12 401
Mirna Mihovilovic Skanata United States 7 105 0.6× 206 1.2× 14 0.2× 17 0.2× 18 0.3× 12 361
Manuel Berning Germany 9 247 1.4× 87 0.5× 161 1.8× 11 0.2× 161 2.8× 9 648
Mahmut Demir United States 8 144 0.8× 51 0.3× 40 0.5× 104 1.5× 12 0.2× 10 252
Jean-Pierre Rospars France 14 327 1.9× 117 0.7× 212 2.4× 168 2.4× 49 0.8× 24 512
Andrew S. Nichols United States 8 351 2.0× 23 0.1× 62 0.7× 318 4.5× 58 1.0× 9 595
Morgan A. Brown United States 8 91 0.5× 81 0.5× 34 0.4× 18 0.3× 73 1.3× 12 299
Avinash Khandelwal United States 4 227 1.3× 15 0.1× 24 0.3× 34 0.5× 75 1.3× 4 348
Jana Boerner United States 8 106 0.6× 52 0.3× 52 0.6× 5 0.1× 64 1.1× 13 405

Countries citing papers authored by Debajit Saha

Since Specialization
Citations

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

Fields of papers citing papers by Debajit Saha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debajit Saha

This figure shows the co-authorship network connecting the top 25 collaborators of Debajit Saha. A scholar is included among the top collaborators of Debajit Saha 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 Debajit Saha. Debajit Saha 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.
2.
Saha, Debajit, et al.. (2025). Hypometabolism in Autism Spectrum Disorder: Insights from Brain and Blood Transcriptomics. Molecular Neurobiology. 62(8). 10765–10778. 1 indexed citations
3.
Contag, Christopher H., et al.. (2024). Precision detection of select human lung cancer biomarkers and cell lines using honeybee olfactory neural circuitry as a novel gas sensor. Biosensors and Bioelectronics. 261. 116466–116466. 10 indexed citations
4.
Apu, Ehsanul Hoque, et al.. (2024). Use of living systems for clinical diagnostics by monitoring volatile chemicals. TrAC Trends in Analytical Chemistry. 180. 117987–117987.
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Apu, Ehsanul Hoque, et al.. (2022). Harnessing insect olfactory neural circuits for detecting and discriminating human cancers. Biosensors and Bioelectronics. 219. 114814–114814. 21 indexed citations
7.
8.
Saha, Debajit, et al.. (2020). Explosive sensing with insect-based biorobots. Biosensors and Bioelectronics X. 6. 100050–100050. 21 indexed citations
9.
Nandi, Anirban, et al.. (2020). Neural Circuit Dynamics for Sensory Detection. Journal of Neuroscience. 40(17). 3408–3423.
10.
Saha, Debajit, et al.. (2018). Dynamic contrast enhancement and flexible odor codes. Nature Communications. 9(1). 3062–3062. 19 indexed citations
11.
Saha, Debajit, et al.. (2017). Engaging and disengaging recurrent inhibition coincides with sensing and unsensing of a sensory stimulus. Nature Communications. 8(1). 15413–15413. 23 indexed citations
12.
Raliya, Ramesh, Debajit Saha, Tandeep S. Chadha, Baranidharan Raman, & Pratim Biswas. (2017). Non-invasive aerosol delivery and transport of gold nanoparticles to the brain. Scientific Reports. 7(1). 44718–44718. 47 indexed citations
13.
Saha, Debajit & Baranidharan Raman. (2015). Relating early olfactory processing with behavior: a perspective. Current Opinion in Insect Science. 12. 54–63. 1 indexed citations
14.
Saha, Debajit, et al.. (2015). Behavioural correlates of combinatorial versus temporal features of odour codes. Nature Communications. 6(1). 6953–6953. 23 indexed citations
15.
York, Timothy, Samuel Achilefu, Spencer P. Lake, et al.. (2014). Bioinspired Polarization Imaging Sensors: From Circuits and Optics to Signal Processing Algorithms and Biomedical Applications. Proceedings of the IEEE. 102(10). 1450–1469. 97 indexed citations
16.
York, Timothy, Viktor Gruev, Debajit Saha, & Baranidharan Raman. (2014). A 220 × 128 120 mW 60 frames/s current mode polarization imager for in vivo optical neural recording. 1849–1852. 2 indexed citations
17.
Saha, Debajit, et al.. (2013). Multi-unit Recording Methods to Characterize Neural Activity in the Locust (<em>Schistocerca Americana</em>) Olfactory Circuits. Journal of Visualized Experiments. 22 indexed citations
18.
Saha, Debajit, et al.. (2013). A spatiotemporal coding mechanism for background-invariant odor recognition. Nature Neuroscience. 16(12). 1830–1839. 73 indexed citations
19.
Saha, Debajit, et al.. (2013). Multi-unit Recording Methods to Characterize Neural Activity in the Locust (<em>Schistocerca Americana</em>) Olfactory Circuits. Journal of Visualized Experiments. 2 indexed citations
20.
Saha, Debajit, David Morton, Michael Ariel, & Ralf Weßel. (2010). Response properties of visual neurons in the turtle nucleus isthmi. Journal of Comparative Physiology A. 197(2). 153–165. 16 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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