Xinxin Ge

896 total citations
12 papers, 454 citations indexed

About

Xinxin Ge is a scholar working on Molecular Biology, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Xinxin Ge has authored 12 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Cognitive Neuroscience and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Xinxin Ge's work include Neural dynamics and brain function (6 papers), Retinal Development and Disorders (5 papers) and Functional Brain Connectivity Studies (4 papers). Xinxin Ge is often cited by papers focused on Neural dynamics and brain function (6 papers), Retinal Development and Disorders (5 papers) and Functional Brain Connectivity Studies (4 papers). Xinxin Ge collaborates with scholars based in United States, China and Canada. Xinxin Ge's co-authors include Michael C. Crair, Zhimin Zhou, Timothy J. Burbridge, Edward Zagha, David A. McCormick, Alexandra Gribizis, James B. Ackman, Hong‐Ping Xu, Yueyi Zhang and Xenophon Papademetris and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Xinxin Ge

11 papers receiving 452 citations

Peers

Xinxin Ge

CMN

CN

MB

RNMI

NEURO

Pablo Rubio‐Garrido Spain

Masafumi Takaji Japan

Vania Y. Cao United States

Katja Reinhard Germany

Sam Merlin Australia

Quynh-Anh Nguyen United States

Sonia Bolea Spain

Martin Munz Switzerland

Sally A. Marik United States

Grégory Gauvain France

Pablo Rubio‐Garrido Spain

Xinxin Ge

300 ×1.1

CMN

292 ×1.1

CN

96 ×0.6

MB

32 ×0.5

RNMI

30 ×1.2

NEURO

Citations per year, relative to Xinxin Ge Xinxin Ge (= 1×) peers Pablo Rubio‐Garrido

Countries citing papers authored by Xinxin Ge

Since Specialization

Citations

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

Fields of papers citing papers by Xinxin Ge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinxin Ge

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

All Works

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12 of 12 papers shown

1.

Gao, Yu, et al.. (2025). A method for improving coordinate transformation accuracy of multi-station visual measurement systems in large-scale measurement. Measurement Science and Technology. 36(4). 45018–45018.

2.

Wang, Li, Cheng Wang, Songcang Chen, et al.. (2025). Molecular and cellular dynamics of the developing human neocortex. Nature. 647(8088). 169–178. 18 indexed citations

3.

Ge, Xinxin, et al.. (2024). High-throughput volumetric mapping of synaptic transmission. Nature Methods. 21(7). 1298–1305. 5 indexed citations

4.

Mandino, Francesca, David O’Connor, Marija Markicevic, et al.. (2024). Multimodal measures of spontaneous brain activity reveal both common and divergent patterns of cortical functional organization. Nature Communications. 15(1). 229–229. 12 indexed citations

5.

O’Connor, David, Francesca Mandino, Xilin Shen, et al.. (2022). Functional network properties derived from wide-field calcium imaging differ with wakefulness and across cell type. NeuroImage. 264. 119735–119735. 7 indexed citations

6.

Ge, Xinxin, et al.. (2021). Retinal waves prime visual motion detection by simulating future optic flow. Science. 373(6553). 54 indexed citations

7.

Lake, Evelyn, Xinxin Ge, Xilin Shen, et al.. (2020). Simultaneous cortex-wide fluorescence Ca2+ imaging and whole-brain fMRI. Nature Methods. 17(12). 1262–1271. 104 indexed citations

8.

Gribizis, Alexandra, Xinxin Ge, Tanya L. Daigle, et al.. (2019). Visual Cortex Gains Independence from Peripheral Drive before Eye Opening. Neuron. 104(4). 711–723.e3. 47 indexed citations

9.

Xu, Hongping, Timothy J. Burbridge, Minggang Chen, et al.. (2016). Retinal Wave Patterns Are Governed by Mutual Excitation among Starburst Amacrine Cells and Drive the Refinement and Maintenance of Visual Circuits. Journal of Neuroscience. 36(13). 3871–3886. 31 indexed citations

10.

Zagha, Edward, Xinxin Ge, & David A. McCormick. (2015). Competing Neural Ensembles in Motor Cortex Gate Goal-Directed Motor Output. Neuron. 88(3). 565–577. 52 indexed citations

11.

Xu, Hong‐Ping, Timothy J. Burbridge, Minggang Chen, et al.. (2015). Spatial pattern of spontaneous retinal waves instructs retinotopic map refinement more than activity frequency. Developmental Neurobiology. 75(6). 621–640. 34 indexed citations

12.

Burbridge, Timothy J., Hong‐Ping Xu, James B. Ackman, et al.. (2014). Visual Circuit Development Requires Patterned Activity Mediated by Retinal Acetylcholine Receptors. Neuron. 84(5). 1049–1064. 90 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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