Jingming Zhang

571 total citations
9 papers, 392 citations indexed

About

Jingming Zhang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, Jingming Zhang has authored 9 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Jingming Zhang's work include Photoreceptor and optogenetics research (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Complex Network Analysis Techniques (2 papers). Jingming Zhang is often cited by papers focused on Photoreceptor and optogenetics research (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Complex Network Analysis Techniques (2 papers). Jingming Zhang collaborates with scholars based in United States, China and Belgium. Jingming Zhang's co-authors include Darwin K. Berg, Martyn Goulding, Olivier Britz, Katja S. Grossmann, Simon Gosgnach, Susan M. Dymecki, Zhaoping Liu, Jason R.B. Dyck, Frédéric Clotman and Patricia A. Labosky and has published in prestigious journals such as Neuron, Development and The Journal of Physiology.

In The Last Decade

Jingming Zhang

8 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jingming Zhang United States	7	185	163	137	99	55	9	392
Valerie C. Siembab United States	6	99 0.5×	154 0.9×	179 1.3×	108 1.1×	60 1.1×	7	349
Adeline Orts-Del’Immagine France	10	126 0.7×	141 0.9×	117 0.9×	120 1.2×	50 0.9×	11	404
Riyadh Mahmood Sweden	8	97 0.5×	186 1.1×	298 2.2×	86 0.9×	114 2.1×	16	438
Kevin Fidelin France	9	113 0.6×	141 0.9×	167 1.2×	51 0.5×	72 1.3×	9	431
Maria Bertuzzi Sweden	11	91 0.5×	99 0.6×	129 0.9×	38 0.4×	55 1.0×	17	296
Tiffany Poon United States	6	144 0.8×	128 0.8×	66 0.5×	142 1.4×	92 1.7×	7	427
Johanna Gómez France	5	70 0.4×	99 0.6×	155 1.1×	73 0.7×	53 1.0×	6	281
András Birinyi Hungary	10	115 0.6×	185 1.1×	111 0.8×	40 0.4×	70 1.3×	24	339
Gülşen Sürmeli United Kingdom	9	157 0.8×	301 1.8×	110 0.8×	90 0.9×	234 4.3×	9	497
Seetha Krishnan United States	12	124 0.7×	209 1.3×	98 0.7×	23 0.2×	125 2.3×	19	439

Countries citing papers authored by Jingming Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Jingming Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingming Zhang

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

9 of 9 papers shown

1.

Cao, Jiangxia, et al.. (2025). QARM: Quantitative Alignment Multi-Modal Recommendation at Kuaishou. 5915–5922.

2.

Cheng, Jianjun, et al.. (2019). Neighbor Similarity Based Agglomerative Method for Community Detection in Networks. Complexity. 2019(1). 16 indexed citations

3.

Cheng, Jianjun, et al.. (2019). Detecting communities from networks using an improved self-organizing map. International Journal of Modern Physics C. 30(6). 1950054–1950054. 2 indexed citations

4.

Koch, Stephanie C., Marta Garcia Del Barrio, Graziana Gatto, et al.. (2017). RORβ Spinal Interneurons Gate Sensory Transmission during Locomotion to Secure a Fluid Walking Gait. Neuron. 96(6). 1419–1431.e5. 73 indexed citations

5.

Britz, Olivier, Jingming Zhang, Katja S. Grossmann, et al.. (2015). A genetically defined asymmetry underlies the inhibitory control of flexor–extensor locomotor movements. eLife. 4. e13038–e13038. 95 indexed citations

6.

Stam, Floor J., Jingming Zhang, Eric J. Geiman, et al.. (2011). Renshaw cell interneuron specialization is controlled by a temporally restricted transcription factor program. Development. 139(1). 179–190. 81 indexed citations

7.

Grossmann, Katja S., et al.. (2010). Genetic dissection of rhythmic motor networks in mice. Progress in brain research. 187. 19–37. 35 indexed citations

8.

Zhang, Jingming & Darwin K. Berg. (2007). Reversible inhibition of GABA_A receptors by α7‐containing nicotinic receptors on the vertebrate postsynaptic neurons. The Journal of Physiology. 579(3). 753–763. 55 indexed citations

9.

Liu, Zhaoping, Jingming Zhang, & Darwin K. Berg. (2007). Role of endogenous nicotinic signaling in guiding neuronal development. Biochemical Pharmacology. 74(8). 1112–1119. 35 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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