Chuntao Dan

1.3k total citations · 1 hit paper
6 papers, 604 citations indexed

About

Chuntao Dan is a scholar working on Cellular and Molecular Neuroscience, Cell Biology and Genetics. According to data from OpenAlex, Chuntao Dan has authored 6 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 2 papers in Cell Biology and 2 papers in Genetics. Recurrent topics in Chuntao Dan's work include Neurobiology and Insect Physiology Research (4 papers), Insect and Arachnid Ecology and Behavior (2 papers) and Protein Kinase Regulation and GTPase Signaling (1 paper). Chuntao Dan is often cited by papers focused on Neurobiology and Insect Physiology Research (4 papers), Insect and Arachnid Ecology and Behavior (2 papers) and Protein Kinase Regulation and GTPase Signaling (1 paper). Chuntao Dan collaborates with scholars based in United States, Australia and Japan. Chuntao Dan's co-authors include Audrey Minden, April Kelly, Ora Bernard, Niharika Nath, Ann M. Hermundstad, Vivek Jayaraman, Brad K. Hulse, Hannah Haberkern, Marisa Dreher and Tanya Wolff and has published in prestigious journals such as Journal of Biological Chemistry, Neuron and Molecular and Cellular Biology.

In The Last Decade

Chuntao Dan

6 papers receiving 592 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.

A connectome of the Drosophila central complex reveals network motifs suitable for flexible navigation and context-dependent action selection

2021 197 citations Brad K. Hulse, Hannah Haberkern et al. eLife profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chuntao Dan United States	6	291	243	161	116	106	6	604
Edward M. Rogers United States	15	329 1.1×	371 1.5×	167 1.0×	140 1.2×	80 0.8×	24	870
Honda Naoki Japan	16	468 1.6×	237 1.0×	274 1.7×	32 0.3×	61 0.6×	40	885
Atsuko Adachi United States	6	806 2.8×	431 1.8×	253 1.6×	180 1.6×	87 0.8×	7	1.3k
Matthieu Cavey France	10	422 1.5×	287 1.2×	410 2.5×	82 0.7×	40 0.4×	11	982
Asako Tsubouchi Japan	15	543 1.9×	486 2.0×	328 2.0×	140 1.2×	39 0.4×	17	1.1k
Junko Kitamoto United States	12	460 1.6×	280 1.2×	168 1.0×	116 1.0×	21 0.2×	17	746
S. Sean Millard United States	17	873 3.0×	512 2.1×	238 1.5×	129 1.1×	236 2.2×	29	1.4k
Liming Tan United States	15	381 1.3×	382 1.6×	122 0.8×	62 0.5×	21 0.2×	27	742
Laurina Manning United States	11	560 1.9×	307 1.3×	422 2.6×	109 0.9×	48 0.5×	12	848
Tim Raemaekers Belgium	13	867 3.0×	331 1.4×	534 3.3×	163 1.4×	146 1.4×	21	1.5k

Countries citing papers authored by Chuntao Dan

Since Specialization

Citations

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

Fields of papers citing papers by Chuntao Dan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chuntao Dan

This figure shows the co-authorship network connecting the top 25 collaborators of Chuntao Dan. A scholar is included among the top collaborators of Chuntao Dan 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 Chuntao Dan. Chuntao Dan 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:

6 of 6 papers shown

1.

Dan, Chuntao, et al.. (2024). A neural circuit architecture for rapid learning in goal-directed navigation. Neuron. 112(15). 2581–2599.e23. 8 indexed citations

2.

Hulse, Brad K., Hannah Haberkern, Romain Franconville, et al.. (2021). A connectome of the Drosophila central complex reveals network motifs suitable for flexible navigation and context-dependent action selection. eLife. 10. 197 indexed citations breakdown →

3.

Song, Erin, Benjamin de Bivort, Chuntao Dan, & Sam Kunes. (2012). Determinants of the Drosophila Odorant Receptor Pattern. Developmental Cell. 22(2). 363–376. 23 indexed citations

4.

Murakami, Satoshi, et al.. (2010). Optimizing Drosophila olfactory learning with a semi-automated training device. Journal of Neuroscience Methods. 188(2). 195–204. 9 indexed citations

5.

Dan, Chuntao, et al.. (2002). PAK5, a New Brain-Specific Kinase, Promotes Neurite Outgrowth in N1E-115 Cells. Molecular and Cellular Biology. 22(2). 567–577. 142 indexed citations

6.

Dan, Chuntao, April Kelly, Ora Bernard, & Audrey Minden. (2001). Cytoskeletal Changes Regulated by the PAK4 Serine/Threonine Kinase Are Mediated by LIM Kinase 1 and Cofilin. Journal of Biological Chemistry. 276(34). 32115–32121. 225 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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