Ajay S. Mathuru

1.4k total citations
27 papers, 820 citations indexed

About

Ajay S. Mathuru is a scholar working on Cellular and Molecular Neuroscience, Cell Biology and Molecular Biology. According to data from OpenAlex, Ajay S. Mathuru has authored 27 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cellular and Molecular Neuroscience, 12 papers in Cell Biology and 10 papers in Molecular Biology. Recurrent topics in Ajay S. Mathuru's work include Zebrafish Biomedical Research Applications (12 papers), Neurobiology and Insect Physiology Research (5 papers) and Neuroendocrine regulation and behavior (5 papers). Ajay S. Mathuru is often cited by papers focused on Zebrafish Biomedical Research Applications (12 papers), Neurobiology and Insect Physiology Research (5 papers) and Neuroendocrine regulation and behavior (5 papers). Ajay S. Mathuru collaborates with scholars based in Singapore, Switzerland and Germany. Ajay S. Mathuru's co-authors include Suresh Jesuthasan, Caroline Kibat, Rainer W. Friedrich, Markus R. Wenk, Wei Fun Cheong, Guanghou Shui, Cathleen Teh, Trevor B. Penney, Vladimir Korzh and Ruey‐Kuang Cheng and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Ajay S. Mathuru

26 papers receiving 810 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ajay S. Mathuru Singapore 14 373 266 202 152 151 27 820
Oliver Braubach United States 15 511 1.4× 365 1.4× 287 1.4× 135 0.9× 93 0.6× 35 1.1k
Tazu Aoki Japan 6 395 1.1× 364 1.4× 260 1.3× 308 2.0× 170 1.1× 10 865
Caroline Kibat Singapore 9 219 0.6× 191 0.7× 151 0.7× 104 0.7× 74 0.5× 14 524
Kei Yamamoto France 19 367 1.0× 305 1.1× 340 1.7× 137 0.9× 254 1.7× 25 1.1k
Manuel Portavella Spain 15 379 1.0× 199 0.7× 169 0.8× 280 1.8× 234 1.5× 18 1.0k
Masae Kinoshita Japan 13 208 0.6× 278 1.0× 165 0.8× 187 1.2× 122 0.8× 21 624
Caroline Lei Wee Singapore 11 399 1.1× 230 0.9× 233 1.2× 202 1.3× 78 0.5× 17 728
Svetlana Semenova Finland 10 389 1.0× 178 0.7× 191 0.9× 103 0.7× 114 0.8× 16 657
Mikako Takahoko Japan 8 461 1.2× 401 1.5× 443 2.2× 299 2.0× 168 1.1× 10 1.1k
Francisco M. Ocaña Spain 10 264 0.7× 144 0.5× 85 0.4× 234 1.5× 132 0.9× 12 660

Countries citing papers authored by Ajay S. Mathuru

Since Specialization
Citations

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

Fields of papers citing papers by Ajay S. Mathuru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ajay S. Mathuru. 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 Ajay S. Mathuru. The network helps show where Ajay S. Mathuru may publish in the future.

Co-authorship network of co-authors of Ajay S. Mathuru

This figure shows the co-authorship network connecting the top 25 collaborators of Ajay S. Mathuru. A scholar is included among the top collaborators of Ajay S. Mathuru 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 Ajay S. Mathuru. Ajay S. Mathuru 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.
Raine, Joshua, Caroline Kibat, Tirtha Das Banerjee, Antónia Monteiro, & Ajay S. Mathuru. (2025). chrna3 Modulates Alcohol Response. Journal of Neuroscience. 45(43). e0304252025–e0304252025.
2.
Nathan, Fatima M., et al.. (2022). Contingent stimulus delivery assay for zebrafish reveals a role for CCSER1 in alcohol preference. Addiction Biology. 27(2). e13126–e13126. 5 indexed citations
3.
Xue, Shifeng, et al.. (2022). HOX epimutations driven by maternal SMCHD1/LRIF1 haploinsufficiency trigger homeotic transformations in genetically wildtype offspring. Nature Communications. 13(1). 3583–3583. 5 indexed citations
4.
Kibat, Caroline, et al.. (2022). Oxytocin receptors influence the development and maintenance of social behavior in zebrafish (Danio rerio). Scientific Reports. 12(1). 4322–4322. 27 indexed citations
5.
Kaur, Prameet, et al.. (2021). Optogenetic approaches for understanding homeostatic and degenerative processes in Drosophila. Cellular and Molecular Life Sciences. 78(16). 5865–5880. 4 indexed citations
6.
Jesuthasan, Suresh, Seetha Krishnan, Ruey‐Kuang Cheng, & Ajay S. Mathuru. (2020). Neural correlates of state transitions elicited by a chemosensory danger cue. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 111. 110110–110110. 15 indexed citations
7.
8.
Mathuru, Ajay S., Frédéric Libersat, Ajai Vyas, & Serafino Teseo. (2020). Why behavioral neuroscience still needs diversity?: A curious case of a persistent need. Neuroscience & Biobehavioral Reviews. 116. 130–141. 13 indexed citations
9.
Kaur, Prameet, et al.. (2020). Use of Optogenetic Amyloid-β to Monitor Protein Aggregation in Drosophila melanogaster, Danio rerio and Caenorhabditis elegans. BIO-PROTOCOL. 10(23). e3856–e3856. 7 indexed citations
10.
Koh, Angela S., Kelvin See, Kathiresan Purushothaman, et al.. (2020). A Neurexin2aa deficiency results in axon pathfinding defects and increased anxiety in zebrafish. Human Molecular Genetics. 29(23). 3765–3780. 18 indexed citations
11.
Cheng, Ruey‐Kuang, et al.. (2019). An Automated Assay System to Study Novel Tank Induced Anxiety. Frontiers in Behavioral Neuroscience. 13. 180–180. 45 indexed citations
12.
Mathuru, Ajay S., et al.. (2019). Computational geometric tools for quantitative comparison of locomotory behavior. Scientific Reports. 9(1). 16585–16585. 4 indexed citations
13.
Mathuru, Ajay S.. (2017). A little rein on addiction. Seminars in Cell and Developmental Biology. 78. 120–129. 12 indexed citations
14.
Mathuru, Ajay S.. (2016). Conspecific injury raises an alarm in medaka. Scientific Reports. 6(1). 36615–36615. 15 indexed citations
15.
Krishnan, Seetha, Ajay S. Mathuru, Caroline Kibat, et al.. (2014). The Right Dorsal Habenula Limits Attraction to an Odor in Zebrafish. Current Biology. 24(11). 1167–1175. 55 indexed citations
16.
Tan, Swee Jin, Michelle Z. L. Kee, Ajay S. Mathuru, William F. Burkholder, & Suresh Jesuthasan. (2013). A Microfluidic Device to Sort Cells Based on Dynamic Response to a Stimulus. PLoS ONE. 8(11). e78261–e78261. 10 indexed citations
17.
Mathuru, Ajay S., Caroline Kibat, Wei Fun Cheong, et al.. (2012). Chondroitin Fragments Are Odorants that Trigger Fear Behavior in Fish. Current Biology. 22(6). 538–544. 173 indexed citations
18.
Mathuru, Ajay S., Cathleen Teh, Caroline Kibat, et al.. (2010). The Habenula Prevents Helpless Behavior in Larval Zebrafish. Current Biology. 20(24). 2211–2216. 142 indexed citations
19.
Jesuthasan, Suresh & Ajay S. Mathuru. (2008). The Alarm Response in Zebrafish: Innate Fear in a Vertebrate Genetic Model. Journal of Neurogenetics. 22(3). 211–228. 77 indexed citations
20.
Hendricks, Michael, Ajay S. Mathuru, Hui Wang, et al.. (2007). Disruption of Esrom and Ryk identifies the roof plate boundary as an intermediate target for commissure formation. Molecular and Cellular Neuroscience. 37(2). 271–283. 19 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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