Xinlu Ding

589 total citations · 1 hit paper
10 papers, 361 citations indexed

About

Xinlu Ding is a scholar working on Cognitive Neuroscience, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience. According to data from OpenAlex, Xinlu Ding has authored 10 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 5 papers in Endocrine and Autonomic Systems and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Xinlu Ding's work include Sleep and Wakefulness Research (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Circadian rhythm and melatonin (3 papers). Xinlu Ding is often cited by papers focused on Sleep and Wakefulness Research (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Circadian rhythm and melatonin (3 papers). Xinlu Ding collaborates with scholars based in United States, China and Belgium. Xinlu Ding's co-authors include Ji‐Song Guan, Hong Xie, Yang Dan, Zhe Zhang, Zeke Barger, Peng Zhong, Yu Liu, Danqian Liu, Chenyan Ma and Yichang Jia and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Xinlu Ding

10 papers receiving 354 citations

Hit Papers

Microglia regulate sleep through calcium-dependent modula... 2024 2026 2025 2024 10 20 30 40 50

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinlu Ding United States 8 150 144 102 82 54 10 361
David Lukacsovich Switzerland 10 128 0.9× 209 1.5× 151 1.5× 72 0.9× 52 1.0× 23 420
Amanda L. Schott United States 3 193 1.3× 145 1.0× 62 0.6× 93 1.1× 166 3.1× 4 415
Radhika C. Reddy United States 8 119 0.8× 252 1.8× 212 2.1× 67 0.8× 76 1.4× 10 508
Ananya Chowdhury United States 11 237 1.6× 296 2.1× 124 1.2× 26 0.3× 58 1.1× 16 485
Arghya Mukherjee United States 9 204 1.4× 145 1.0× 80 0.8× 28 0.3× 21 0.4× 12 353
Hiroyuki Manabe Japan 13 219 1.5× 249 1.7× 79 0.8× 40 0.5× 46 0.9× 25 515
Jennifer C. Tudor United States 9 332 2.2× 243 1.7× 179 1.8× 99 1.2× 52 1.0× 11 634
André O. White United States 11 125 0.8× 166 1.2× 217 2.1× 60 0.7× 43 0.8× 14 407
Akiyo Natsubori Japan 9 171 1.1× 152 1.1× 76 0.7× 136 1.7× 16 0.3× 19 335
Joëlle Lavoie Canada 10 87 0.6× 157 1.1× 243 2.4× 51 0.6× 18 0.3× 13 444

Countries citing papers authored by Xinlu Ding

Since Specialization
Citations

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

Fields of papers citing papers by Xinlu Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinlu Ding

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

All Works

10 of 10 papers shown
1.
Ding, Xinlu, Daniel N. Silverman, Peng Zhong, et al.. (2025). Neuroendocrine circuit for sleep-dependent growth hormone release. Cell. 188(18). 4968–4979.e12. 3 indexed citations
2.
Silverman, Daniel, Shuang Chang, Yufan Zhang, et al.. (2025). Activation of locus coeruleus noradrenergic neurons rapidly drives homeostatic sleep pressure. Science Advances. 11(3). eadq0651–eadq0651. 7 indexed citations
3.
Ma, Chenyan, Bing Li, Daniel Silverman, et al.. (2024). Microglia regulate sleep through calcium-dependent modulation of norepinephrine transmission. Nature Neuroscience. 27(2). 249–258. 51 indexed citations breakdown →
4.
Li, Bing, Chenyan Ma, Xinlu Ding, et al.. (2023). Circuit mechanism for suppression of frontal cortical ignition during NREM sleep. Cell. 186(26). 5739–5750.e17. 9 indexed citations
5.
Ding, Xinlu, et al.. (2022). Suv39h1 regulates memory stability by inhibiting the expression of Shank1 in hippocampal newborn neurons. European Journal of Neuroscience. 55(6). 1424–1441. 5 indexed citations
6.
Zhong, Peng, Zhe Zhang, Zeke Barger, et al.. (2019). Control of Non-REM Sleep by Midbrain Neurotensinergic Neurons. Neuron. 104(4). 795–809.e6. 53 indexed citations
7.
Zhang, Zhe, Peng Zhong, Fei Hu, et al.. (2019). An Excitatory Circuit in the Perioculomotor Midbrain for Non-REM Sleep Control. Cell. 177(5). 1293–1307.e16. 45 indexed citations
8.
Ding, Xinlu, Sanxiong Liu, Miaomiao Tian, et al.. (2017). Activity-induced histone modifications govern Neurexin-1 mRNA splicing and memory preservation. Nature Neuroscience. 20(5). 690–699. 73 indexed citations
9.
Guan, Ji‐Song, Hong Xie, & Xinlu Ding. (2014). The role of epigenetic regulation in learning and memory. Experimental Neurology. 268. 30–36. 58 indexed citations
10.
Xie, Hong, et al.. (2014). In vivo imaging of immediate early gene expression reveals layer-specific memory traces in the mammalian brain. Proceedings of the National Academy of Sciences. 111(7). 2788–2793. 57 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

Rankless by CCL
2026