Jing Yang Tee

476 total citations
8 papers, 388 citations indexed

About

Jing Yang Tee is a scholar working on Cellular and Molecular Neuroscience, Surgery and Molecular Biology. According to data from OpenAlex, Jing Yang Tee has authored 8 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cellular and Molecular Neuroscience, 2 papers in Surgery and 2 papers in Molecular Biology. Recurrent topics in Jing Yang Tee's work include Axon Guidance and Neuronal Signaling (3 papers), Mesenchymal stem cell research (2 papers) and Neonatal Respiratory Health Research (2 papers). Jing Yang Tee is often cited by papers focused on Axon Guidance and Neuronal Signaling (3 papers), Mesenchymal stem cell research (2 papers) and Neonatal Respiratory Health Research (2 papers). Jing Yang Tee collaborates with scholars based in Australia, Chile and China. Jing Yang Tee's co-authors include Ursula Manuelpillai, Vijesh Vaghjiani, James Chan, Padma Murthi, Alan Mackay‐Sim, Caroline E. Gargett, Gita Pratama, Yongjun Fan, Dinushka Lourensz and Alexander Hodge and has published in prestigious journals such as PLoS ONE, Biological Psychiatry and International Journal of Molecular Sciences.

In The Last Decade

Jing Yang Tee

8 papers receiving 384 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jing Yang Tee Australia	8	165	150	122	65	58	8	388
Łukasz Koperski Poland	16	224 1.4×	28 0.2×	331 2.7×	28 0.4×	24 0.4×	56	827
Sunhee Hwang United States	8	92 0.6×	151 1.0×	117 1.0×	15 0.2×	103 1.8×	10	409
Motohiro Sawatsubashi Japan	13	120 0.7×	24 0.2×	147 1.2×	24 0.4×	135 2.3×	40	474
Dalia Pickholtz Israel	6	75 0.5×	26 0.2×	80 0.7×	36 0.6×	169 2.9×	6	493
Fengming Yue Japan	12	129 0.8×	31 0.2×	325 2.7×	8 0.1×	17 0.3×	33	427
Lite Ge China	13	62 0.4×	163 1.1×	263 2.2×	7 0.1×	30 0.5×	30	517
Shahriar Islam United Kingdom	9	83 0.5×	23 0.2×	149 1.2×	10 0.2×	12 0.2×	15	335
Vladimir Markov United States	9	81 0.5×	102 0.7×	139 1.1×	104 1.6×	5 0.1×	10	357
Aislinn Hays United States	11	61 0.4×	58 0.4×	268 2.2×	8 0.1×	43 0.7×	12	413
Alexandre Parouchev France	8	470 2.8×	91 0.6×	466 3.8×	13 0.2×	6 0.1×	9	758

Countries citing papers authored by Jing Yang Tee

Since Specialization

Citations

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

Fields of papers citing papers by Jing Yang Tee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Yang Tee

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

All Works

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8 of 8 papers shown

1.

Tee, Jing Yang & Alan Mackay‐Sim. (2021). Directional Persistence of Cell Migration in Schizophrenia Patient-Derived Olfactory Cells. International Journal of Molecular Sciences. 22(17). 9177–9177. 8 indexed citations

2.

Tee, Jing Yang, Ratneswary Sutharsan, Yongjun Fan, & Alan Mackay‐Sim. (2017). Cell migration in schizophrenia: Patient-derived cells do not regulate motility in response to extracellular matrix. Molecular and Cellular Neuroscience. 80. 111–122. 13 indexed citations

3.

Tee, Jing Yang, Ratneswary Sutharsan, Yongjun Fan, & Alan Mackay‐Sim. (2016). Schizophrenia patient-derived olfactory neurosphere-derived cells do not respond to extracellular reelin. Schizophrenia. 2(1). 16027–16027. 7 indexed citations

4.

Tee, Jing Yang, et al.. (2013). Immunogenicity and Immunomodulatory Properties of Hepatocyte-like Cells Derived from Human Amniotic Epithelial Cells. Current Stem Cell Research & Therapy. 8(1). 91–99. 29 indexed citations

5.

Fan, Yongjun, Greger Abrahamsen, Richard J. Mills, et al.. (2013). Focal Adhesion Dynamics Are Altered in Schizophrenia. Biological Psychiatry. 74(6). 418–426. 58 indexed citations

6.

Manuelpillai, Ursula, Dinushka Lourensz, Vijesh Vaghjiani, et al.. (2012). Human Amniotic Epithelial Cell Transplantation Induces Markers of Alternative Macrophage Activation and Reduces Established Hepatic Fibrosis. PLoS ONE. 7(6). e38631–e38631. 90 indexed citations

7.

Vaghjiani, Vijesh, Jing Yang Tee, Kelly To, et al.. (2012). Amniotic Epithelial Cells from the Human Placenta Potently Suppress a Mouse Model of Multiple Sclerosis. PLoS ONE. 7(4). e35758–e35758. 75 indexed citations

8.

Pratama, Gita, Vijesh Vaghjiani, Jing Yang Tee, et al.. (2011). Changes in Culture Expanded Human Amniotic Epithelial Cells: Implications for Potential Therapeutic Applications. PLoS ONE. 6(11). e26136–e26136. 108 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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