Niansheng Ju

611 total citations
9 papers, 227 citations indexed

About

Niansheng Ju is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biophysics. According to data from OpenAlex, Niansheng Ju has authored 9 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 5 papers in Cellular and Molecular Neuroscience and 3 papers in Biophysics. Recurrent topics in Niansheng Ju's work include Neural dynamics and brain function (6 papers), Visual perception and processing mechanisms (5 papers) and Advanced Fluorescence Microscopy Techniques (3 papers). Niansheng Ju is often cited by papers focused on Neural dynamics and brain function (6 papers), Visual perception and processing mechanisms (5 papers) and Advanced Fluorescence Microscopy Techniques (3 papers). Niansheng Ju collaborates with scholars based in China, United States and Netherlands. Niansheng Ju's co-authors include Shiming Tang, Susana Martínez‐Conde, Stephen L. Macknik, Hanno S. Meyer, Vijayan Gangadharan, Jakob Straehle, Jens Gempt, Alessandro Motta, Moritz Helmstaedter and Sahil Loomba and has published in prestigious journals such as Science, Nature Communications and Journal of Neuroscience.

In The Last Decade

Niansheng Ju

9 papers receiving 224 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Niansheng Ju China	7	132	121	44	21	19	9	227
Oliver Gauld United Kingdom	4	163 1.2×	157 1.3×	31 0.7×	37 1.8×	18 0.9×	5	233
Seth Bensussen United States	5	99 0.8×	152 1.3×	45 1.0×	37 1.8×	13 0.7×	6	200
Monica Moroni Italy	9	174 1.3×	160 1.3×	34 0.8×	25 1.2×	54 2.8×	15	323
Arjun Bharioke Germany	6	121 0.9×	143 1.2×	54 1.2×	36 1.7×	5 0.3×	6	270
David Liao United States	9	119 0.9×	170 1.4×	123 2.8×	19 0.9×	47 2.5×	16	311
Daisuke Shimaoka Japan	8	212 1.6×	156 1.3×	26 0.6×	31 1.5×	15 0.8×	11	290
Joanna Lau United Kingdom	4	166 1.3×	161 1.3×	28 0.6×	43 2.0×	15 0.8×	6	236
Brendan A. Bicknell Australia	8	175 1.3×	182 1.5×	52 1.2×	20 1.0×	17 0.9×	9	286
I-Wen Chen France	9	196 1.5×	253 2.1×	82 1.9×	49 2.3×	29 1.5×	13	383
Violeta G. López-Huerta United States	11	197 1.5×	287 2.4×	101 2.3×	38 1.8×	11 0.6×	14	394

Countries citing papers authored by Niansheng Ju

Since Specialization

Citations

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

Fields of papers citing papers by Niansheng Ju

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niansheng Ju

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

All Works

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9 of 9 papers shown

1.

Loomba, Sahil, Jakob Straehle, Vijayan Gangadharan, et al.. (2022). Connectomic comparison of mouse and human cortex. Science. 377(6602). eabo0924–eabo0924. 105 indexed citations

2.

Ju, Niansheng, et al.. (2022). Macaque V1 responses to 2nd-order contrast-modulated stimuli and the possible subcortical and cortical contributions. Progress in Neurobiology. 217. 102315–102315. 1 indexed citations

3.

Li, Ming, Niansheng Ju, Rundong Jiang, et al.. (2022). Perceptual hue, lightness, and chroma are represented in a multidimensional functional anatomical map in macaque V1. Progress in Neurobiology. 212. 102251–102251. 11 indexed citations

4.

Ju, Niansheng, et al.. (2021). Functional organization of spatial frequency tuning in macaque V1 revealed with two-photon calcium imaging. Progress in Neurobiology. 205. 102120–102120. 7 indexed citations

5.

Ju, Niansheng, et al.. (2020). Orientation Tuning and End-stopping in Macaque V1 Studied with Two-photon Calcium Imaging. Cerebral Cortex. 31(4). 2085–2097. 12 indexed citations

6.

Ju, Niansheng, Yang Li, Fang Liu, et al.. (2020). Spatiotemporal functional organization of excitatory synaptic inputs onto macaque V1 neurons. Nature Communications. 11(1). 697–697. 35 indexed citations

7.

Macknik, Stephen L., Robert G. Alexander, Kristina J. Nielsen, et al.. (2019). Advanced Circuit and Cellular Imaging Methods in Nonhuman Primates. Journal of Neuroscience. 39(42). 8267–8274. 17 indexed citations

8.

Ju, Niansheng, Rundong Jiang, Stephen L. Macknik, Susana Martínez‐Conde, & Shiming Tang. (2018). Long-term all-optical interrogation of cortical neurons in awake-behaving nonhuman primates. PLoS Biology. 16(8). e2005839–e2005839. 38 indexed citations

9.

Wang, Jing, et al.. (2015). A model-based analysis of physiological properties of the striatal medium spiny neuron. Neurological Research. 37(12). 1074–1081. 1 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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