Upinder S. Bhalla
Impact in
- Sensory Systems top 0.5%
- Olfactory and Sensory Function Studies
-
- Neuroscience and Neuropharmacology Research
- Neurobiology and Insect Physiology Research
Papers in
-
- Olfactory and Sensory Function Studies 13
-
- Neuroscience and Neuropharmacology Research 25
- Photoreceptor and optogenetics research 16
- Neurobiology and Insect Physiology Research 15
- Co-authors
- Ravi IyengarPrahlad T. RamGezhi WengJames M. BowerAshesh K. DhawaleArnold HayerJames P. ClementRaghav Rajan
- Journals
- PLoS Computational Biology (7 papers)eLife (6 papers)BMC Neuroscience (5 papers)Biophysical Journal (5 papers)Science (4 papers)
- Partner nations
- IndiaUnited StatesSweden
In The Last Decade
Upinder S. Bhalla
86 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Sensory Systems 556
- Cellular and Molecular Neuroscience 1.7k
- Biophysics 385
- Cognitive Neuroscience 1.2k
- Molecular Biology 3.0k
Countries citing papers authored by Upinder S. Bhalla
This map shows the geographic impact of Upinder S. Bhalla'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 Upinder S. Bhalla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Upinder S. Bhalla more than expected).
Fields of papers citing papers by Upinder S. Bhalla
This network shows the impact of papers produced by Upinder S. Bhalla. 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 Upinder S. Bhalla. The network helps show where Upinder S. Bhalla may publish in the future.
Co-authors
The 25 scholars most cited alongside Upinder S. Bhalla, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 0 | |
| 2 | 2021 | 8 | |
| 3 | 2021 | 5 | |
| 4 | 2021 | 16 | |
| 5 | 2019 | 71 | |
| 6 | 2019 | 5 | |
| 7 | 2017 | 1 | |
| 8 | 2016 | 24 | |
| 9 | 2016 | 3 | |
| 10 | 2013 | 22 | |
| 11 | 2012 | 82 | |
| 12 | 2011 | 7 | |
| 13 | 2008 | 6 | |
| 14 | 2007 | 19 | |
| 15 | 2005 | 390 | |
| 16 | 2003 | 47 | |
| 17 | 2002 | 62 | |
| 18 | 2002 | 31 | |
| 19 | 2002 | 31 | |
| 20 | GENESIS: A System for Simulating Neural Networks | 1988 | 55 |
About Upinder S. Bhalla
Upinder S. Bhalla is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience, Biophysics, Cognitive Neuroscience and Developmental Neuroscience, having authored 88 papers that have together received 5.2k indexed citations. Recurring topics across this work include Neural dynamics and brain function (33 papers), Gene Regulatory Network Analysis (27 papers), Neuroscience and Neuropharmacology Research (25 papers), Photoreceptor and optogenetics research (16 papers), Neurobiology and Insect Physiology Research (15 papers), Receptor Mechanisms and Signaling (14 papers), Olfactory and Sensory Function Studies (13 papers) and Computational Drug Discovery Methods (10 papers). The work is most often cited by research in Sensory Systems (556 citations), Cellular and Molecular Neuroscience (1.7k citations), Biophysics (385 citations), Cognitive Neuroscience (1.2k citations) and Molecular Biology (3.0k citations). Upinder S. Bhalla has collaborated with scholars based in India, United States and Sweden. Frequent co-authors include Ravi Iyengar, Prahlad T. Ram, Gezhi Weng, James M. Bower, Ashesh K. Dhawale, Arnold Hayer, James P. Clement, Raghav Rajan, Dinu F. Albeanu and Jyoti Mishra. Their work appears in journals such as PLoS Computational Biology, eLife, BMC Neuroscience, Biophysical Journal and Science.
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.