Jian Jing

4.6k total citations
123 papers, 3.6k citations indexed

About

Jian Jing is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Jian Jing has authored 123 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Cellular and Molecular Neuroscience, 38 papers in Cognitive Neuroscience and 29 papers in Molecular Biology. Recurrent topics in Jian Jing's work include Neurobiology and Insect Physiology Research (59 papers), Neural dynamics and brain function (27 papers) and Cephalopods and Marine Biology (19 papers). Jian Jing is often cited by papers focused on Neurobiology and Insect Physiology Research (59 papers), Neural dynamics and brain function (27 papers) and Cephalopods and Marine Biology (19 papers). Jian Jing collaborates with scholars based in United States, China and Israel. Jian Jing's co-authors include Klaudiusz R. Weiss, Rhanor Gillette, Ferdinand S. Vilim, Elizabeth C. Cropper, George G. Somjen, Peter G. Aitken, Jonathan V. Sweedler, Rytis Prekeris, Vera Alexeeva and Alex Proekt and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Jian Jing

119 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jian Jing United States 39 2.2k 1.2k 923 555 438 123 3.6k
Ferdinand S. Vilim United States 36 2.6k 1.2× 625 0.5× 1.4k 1.5× 363 0.7× 377 0.9× 57 3.4k
Lut Arckens Belgium 42 2.0k 0.9× 1.2k 1.0× 2.0k 2.2× 346 0.6× 330 0.8× 215 5.3k
Rhanor Gillette United States 31 1.9k 0.9× 673 0.6× 605 0.7× 713 1.3× 171 0.4× 102 3.3k
Michael O’Shea United Kingdom 42 3.7k 1.7× 783 0.7× 1.5k 1.7× 585 1.1× 455 1.0× 130 6.0k
Michael P. Nusbaum United States 44 3.9k 1.8× 1.7k 1.4× 745 0.8× 495 0.9× 389 0.9× 91 5.0k
K. R. Weiss United States 28 1.8k 0.8× 441 0.4× 939 1.0× 443 0.8× 285 0.7× 40 2.6k
J. Douglas Armstrong United Kingdom 39 4.2k 1.9× 554 0.5× 2.3k 2.5× 1.0k 1.8× 704 1.6× 116 6.6k
Andrew S. French Canada 32 2.3k 1.1× 964 0.8× 890 1.0× 432 0.8× 111 0.3× 199 3.9k
Christopher Elliott United Kingdom 29 1.2k 0.5× 357 0.3× 544 0.6× 550 1.0× 195 0.4× 91 2.4k
L Tauc France 38 3.2k 1.5× 834 0.7× 1.8k 1.9× 397 0.7× 479 1.1× 154 4.6k

Countries citing papers authored by Jian Jing

Since Specialization
Citations

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

Fields of papers citing papers by Jian Jing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian Jing

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

All Works

20 of 20 papers shown
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Evans, Colin G., Michael A. Barry, Paras R. Patel, et al.. (2025). Convergent effects of peptides on the initiation of feeding motor programs in the mollusk Aplysia. Journal of Neurophysiology. 133(5). 1368–1379.
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Hurwitz, Itay, et al.. (2024). Repeated stimulation of feeding mechanoafferents inAplysiagenerates responses consistent with the release of food. Learning & Memory. 31(6). a053880–a053880. 1 indexed citations
6.
Evans, Colin G., Michael A. Barry, Matthew H. Perkins, et al.. (2023). Variable task switching in the feeding network of Aplysia is a function of differential command input. Journal of Neurophysiology. 130(4). 941–952. 2 indexed citations
7.
Wang, Huiying, Weijia Liu, Yadong Li, et al.. (2023). Molecular Characterization of Two Wamide Neuropeptide Signaling Systems in Mollusk Aplysia. ACS Chemical Neuroscience. 14(13). 2425–2442. 1 indexed citations
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Liu, Weijia, Huiying Wang, Juping Xu, et al.. (2023). Identification of three elevenin receptors and roles of elevenin disulfide bond and residues in receptor activation in Aplysia californica. Scientific Reports. 13(1). 7662–7662. 6 indexed citations
9.
Li, Yadong, Ping Chen, Guo Zhang, et al.. (2022). AI protein structure prediction-based modeling and mutagenesis of a protostome receptor and peptide ligands reveal key residues for their interaction. Journal of Biological Chemistry. 298(10). 102440–102440. 7 indexed citations
10.
Zhang, Guo, Siyuan Yin, Ping Chen, et al.. (2022). Exogenous expression of an allatotropin-related peptide receptor increased the membrane excitability in Aplysia neurons. Molecular Brain. 15(1). 42–42. 5 indexed citations
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Due, Michael R., et al.. (2022). Convergent effects of neuropeptides on the feeding central pattern generator of Aplysia californica. Journal of Neurophysiology. 127(6). 1445–1459. 7 indexed citations
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Wang, Huiying, Yadong Li, Xueying Ding, et al.. (2022). Identification of an allatostatin C signaling system in mollusc Aplysia. Scientific Reports. 12(1). 1213–1213. 12 indexed citations
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Zhang, Guo, Tingting Chen, Fan Yang, et al.. (2020). Synaptic mechanisms for motor variability in a feedforward network. Science Advances. 6(25). 17 indexed citations
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Checco, James W., et al.. (2018). Aplysia allatotropin-related peptide and its newly identified d-amino acid–containing epimer both activate a receptor and a neuronal target. Journal of Biological Chemistry. 293(43). 16862–16873. 29 indexed citations
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Zhang, Guo, Ferdinand S. Vilim, Elena V. Romanova, et al.. (2018). Newly Identified Aplysia SPTR-Gene Family-Derived Peptides: Localization and Function. ACS Chemical Neuroscience. 9(8). 2041–2053. 13 indexed citations
16.
Checco, James W., Guo Zhang, Rachel H. Roberts-Galbraith, et al.. (2018). Molecular and Physiological Characterization of a Receptor for d-Amino Acid-Containing Neuropeptides. ACS Chemical Biology. 13(5). 1343–1352. 31 indexed citations
17.
Jing, Jian, et al.. (2018). The seasonal water use patterns of Populus pseudo-simmonii kitag in the Otindag sandy land.. Fresenius environmental bulletin. 27(6). 4037–4046. 3 indexed citations
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Bai, Xuming, et al.. (2017). Clinical diagnosis and treatment of peripherally inserted central catheter related upper extremity deep venous thrombosis. Biomedical Research-tokyo. 28(22). 9707–9711. 1 indexed citations
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Jing, Jian & Rytis Prekeris. (2009). Polarized endocytic transport: the roles of Rab11 and Rab11-FIPs in regulating cell polarity.. PubMed. 24(9). 1171–80. 54 indexed citations
20.
Jing, Jian, et al.. (2003). Concerted GABAergic Actions ofAplysiaFeeding Interneurons in Motor Program Specification. Journal of Neuroscience. 23(12). 5283–5294. 58 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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