Deepak Ailani

419 total citations
8 papers, 259 citations indexed

About

Deepak Ailani is a scholar working on Cell Biology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Deepak Ailani has authored 8 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cell Biology, 3 papers in Molecular Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Deepak Ailani's work include Zebrafish Biomedical Research Applications (4 papers), Axon Guidance and Neuronal Signaling (2 papers) and Neurobiology and Insect Physiology Research (2 papers). Deepak Ailani is often cited by papers focused on Zebrafish Biomedical Research Applications (4 papers), Axon Guidance and Neuronal Signaling (2 papers) and Neurobiology and Insect Physiology Research (2 papers). Deepak Ailani collaborates with scholars based in Japan, United States and United Kingdom. Deepak Ailani's co-authors include Koichi Kawakami, Mari Itoh, Pradeep Lal, Akira Muto, Gembu Abe, Yasushi Hiromi, Takeo Katsuki, Masaki Hiramoto, Hideyuki Tanabe and M. Iwasaki and has published in prestigious journals such as Nature Communications, Neuron and Scientific Reports.

In The Last Decade

Deepak Ailani

8 papers receiving 257 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Deepak Ailani Japan	5	145	93	90	63	34	8	259
Gregory D. Marquart United States	9	225 1.6×	141 1.5×	128 1.4×	95 1.5×	20 0.6×	9	388
Alistair J. Brock United Kingdom	9	260 1.8×	74 0.8×	94 1.0×	45 0.7×	66 1.9×	10	343
Hisaya Kakinuma Japan	6	91 0.6×	110 1.2×	105 1.2×	84 1.3×	31 0.9×	10	258
Ryoko Nakayama Japan	7	175 1.2×	155 1.7×	173 1.9×	113 1.8×	62 1.8×	11	467
Pradeep Lal Japan	9	251 1.7×	122 1.3×	211 2.3×	72 1.1×	32 0.9×	14	496
Chintan A. Trivedi United Kingdom	10	169 1.2×	189 2.0×	161 1.8×	148 2.3×	22 0.6×	13	419
Mahendra Wagle United States	12	290 2.0×	110 1.2×	226 2.5×	49 0.8×	42 1.2×	21	483
András Birinyi Hungary	10	111 0.8×	185 2.0×	115 1.3×	70 1.1×	29 0.9×	24	339
Christoph Gebhardt France	9	194 1.3×	178 1.9×	134 1.5×	128 2.0×	22 0.6×	9	385
Seetha Krishnan United States	12	98 0.7×	209 2.2×	124 1.4×	125 2.0×	23 0.7×	19	439

Countries citing papers authored by Deepak Ailani

Since Specialization

Citations

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

Fields of papers citing papers by Deepak Ailani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepak Ailani

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Krenzlin, Harald, Deepak Ailani, Thomas Bukur, et al.. (2025). Cytomegalovirus-induced oncomodulation drives immune escape in glioblastoma. Scientific Reports. 15(1). 25981–25981. 1 indexed citations

2.

Keatinge, Marcus, Matthew E. Gegg, Lisa Watson, et al.. (2023). Unexpected phenotypic and molecular changes of combined glucocerebrosidase and acid sphingomyelinase deficiency. Disease Models & Mechanisms. 16(6). 3 indexed citations

3.

Wee, Caroline Lei, Erin Song, Robert E. Johnson, et al.. (2019). A bidirectional network for appetite control in larval zebrafish. eLife. 8. 45 indexed citations

4.

Lal, Pradeep, Hideyuki Tanabe, Maximiliano L. Suster, et al.. (2018). Identification of a neuronal population in the telencephalon essential for fear conditioning in zebrafish. BMC Biology. 16(1). 45–45. 82 indexed citations

5.

Muto, Akira, Pradeep Lal, Deepak Ailani, et al.. (2017). Activation of the hypothalamic feeding centre upon visual prey detection. Nature Communications. 8(1). 15029–15029. 78 indexed citations

6.

Tanabe, Hideyuki, Masahide Seki, Mari Itoh, et al.. (2016). Fluorescence-Activated Cell Sorting and Gene Expression Profiling of GFP-Positive Cells from Transgenic Zebrafish Lines. Methods in molecular biology. 1451. 93–106. 1 indexed citations

7.

Katsuki, Takeo, et al.. (2010). Compartmentalization within neurites: Its mechanisms and implications. Developmental Neurobiology. 71(6). 458–473. 10 indexed citations

8.

Katsuki, Takeo, Deepak Ailani, Masaki Hiramoto, & Yasushi Hiromi. (2009). Intra-axonal Patterning: Intrinsic Compartmentalization of the Axonal Membrane in Drosophila Neurons. Neuron. 64(2). 188–199. 39 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.

Explore authors with similar magnitude of impact