Xin‐Min Li

5.9k total citations
141 papers, 4.2k citations indexed

About

Xin‐Min Li is a scholar working on Cellular and Molecular Neuroscience, Clinical Psychology and Molecular Biology. According to data from OpenAlex, Xin‐Min Li has authored 141 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Cellular and Molecular Neuroscience, 25 papers in Clinical Psychology and 21 papers in Molecular Biology. Recurrent topics in Xin‐Min Li's work include Neuroscience and Neuropharmacology Research (23 papers), Neurogenesis and neuroplasticity mechanisms (19 papers) and Tryptophan and brain disorders (16 papers). Xin‐Min Li is often cited by papers focused on Neuroscience and Neuropharmacology Research (23 papers), Neurogenesis and neuroplasticity mechanisms (19 papers) and Tryptophan and brain disorders (16 papers). Xin‐Min Li collaborates with scholars based in Canada, China and United States. Xin‐Min Li's co-authors include Haiyun Xu, Yanbo Zhang, Jiming Kong, Andrew J. Greenshaw, Jue He, Shenghua Zhu, Vincent I. O. Agyapong, Can Luo, Guilin Qiao and Liping Cao and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Xin‐Min Li

130 papers receiving 4.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xin‐Min Li Canada	37	800	738	594	552	529	141	4.2k
Klaus Wiedemann Germany	48	706 0.9×	1.1k 1.5×	822 1.4×	450 0.8×	218 0.4×	288	7.1k
Ru‐Band Lu Taiwan	37	977 1.2×	942 1.3×	594 1.0×	922 1.7×	111 0.2×	146	5.2k
Helge Frieling Germany	35	1.3k 1.6×	665 0.9×	847 1.4×	295 0.5×	127 0.2×	215	4.2k
Thomas Hillemacher Germany	40	999 1.2×	708 1.0×	1.3k 2.3×	477 0.9×	107 0.2×	201	4.8k
Torbjörn Bäckström Sweden	58	1.1k 1.4×	1.9k 2.6×	683 1.1×	274 0.5×	293 0.6×	250	11.2k
Martin Balslev Jørgensen Denmark	39	922 1.2×	1.3k 1.7×	247 0.4×	136 0.2×	319 0.6×	254	5.3k
Amy K. Wagner United States	47	1.4k 1.7×	540 0.7×	655 1.1×	221 0.4×	271 0.5×	173	6.7k
Joana Almeida Palha Portugal	45	1.4k 1.7×	792 1.1×	168 0.3×	140 0.3×	476 0.9×	106	4.9k
Francesco Monaco Italy	39	784 1.0×	786 1.1×	854 1.4×	315 0.6×	136 0.3×	170	6.4k

Countries citing papers authored by Xin‐Min Li

Since Specialization

Citations

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

Fields of papers citing papers by Xin‐Min Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xin‐Min Li. 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 Xin‐Min Li. The network helps show where Xin‐Min Li may publish in the future.

Co-authorship network of co-authors of Xin‐Min Li

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

All Works

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20 of 20 papers shown

Li, Xin‐Min, et al.. (2025). Exploration of endoplasmic reticulum stress-related gene markers in amyotrophic lateral sclerosis: a comprehensive analysis of bioinformatics and machine learning. Analytical Biochemistry. 707. 115969–115969.

Li, Xin‐Min, et al.. (2025). Identification of lipid metabolism-related gene markers and construction of a diagnostic model for multiple sclerosis: An integrated analysis by bioinformatics and machine learning. Analytical Biochemistry. 700. 115781–115781.

Guo, Yuming, Xin Wang, Jie Zheng, et al.. (2025). Elimination of gut microbiota hinders the therapeutic effect of amentoflavone on respiratory syncytial virus-induced lung inflammation injury by regulating innate immunity. Phytomedicine. 145. 157033–157033.

Li, Yutong, Jie Sui, Russell Greiner, et al.. (2024). Prospective prediction of anxiety onset in the Canadian longitudinal study on aging (CLSA): A machine learning study. Journal of Affective Disorders. 357. 148–155. 7 indexed citations

Lei, Qian, Jie Sui, Russell Greiner, et al.. (2023). Prediction of depression onset risk among middle-aged and elderly adults using machine learning and Canadian Longitudinal Study on Aging cohort. Journal of Affective Disorders. 339. 52–57. 14 indexed citations

Bruggen, Rebekah van, et al.. (2023). Low-intensity pulsed ultrasound enhances neurite growth in serum-starved human neuroblastoma cells. Frontiers in Neuroscience. 17. 1269267–1269267. 4 indexed citations

Obuobi-Donkor, Gloria, Ejemai Eboreime, Jennifer Bond, et al.. (2022). An E–Mental Health Solution to Prevent and Manage Posttraumatic Stress Injuries Among First Responders in Alberta: Protocol for the Implementation and Evaluation of Text Messaging Services (Text4PTSI and Text4Wellbeing). JMIR Research Protocols. 11(4). e30680–e30680. 8 indexed citations

Liu, Yang S., Jake Hayward, Yanbo Zhang, et al.. (2022). Individualized Prospective Prediction of Opioid Use Disorder. The Canadian Journal of Psychiatry. 68(1). 54–63. 9 indexed citations

Shalaby, Reham, Wesley Vuong, Shireen Surood, et al.. (2022). Clinical Outcomes in Routine Evaluation Measures for Patients Discharged from Acute Psychiatric Care: Four-Arm Peer and Text Messaging Support Controlled Observational Study. International Journal of Environmental Research and Public Health. 19(7). 3798–3798. 7 indexed citations

10.

Shalaby, Reham, Wesley Vuong, Marianne Hrabok, et al.. (2021). Gender Differences in Satisfaction With a Text Messaging Program (Text4Hope) and Anticipated Receptivity to Technology-Based Health Support During the COVID-19 Pandemic: Cross-sectional Survey Study. JMIR mhealth and uhealth. 9(4). e24184–e24184. 30 indexed citations

11.

Agyapong, Vincent I. O., Marianne Hrabok, Reham Shalaby, et al.. (2021). Text4Hope: Receiving Daily Supportive Text Messages for 3 Months During the COVID-19 Pandemic Reduces Stress, Anxiety, and Depression. Disaster Medicine and Public Health Preparedness. 16(4). 1326–1330. 46 indexed citations

12.

Shalaby, Reham, Marianne Hrabok, Rabab M Abou El-Magd, et al.. (2021). Recovery Following Peer and Text Messaging Support After Discharge From Acute Psychiatric Care in Edmonton, Alberta: Controlled Observational Study. JMIR Formative Research. 5(9). e27137–e27137. 11 indexed citations

13.

Agyapong, Vincent I. O., Reham Shalaby, Marianne Hrabok, et al.. (2021). Mental Health Outreach via Supportive Text Messages during the COVID-19 Pandemic: Improved Mental Health and Reduced Suicidal Ideation after Six Weeks in Subscribers of Text4Hope Compared to a Control Population. International Journal of Environmental Research and Public Health. 18(4). 2157–2157. 39 indexed citations

14.

Agyapong, Vincent I. O., Marianne Hrabok, Wesley Vuong, et al.. (2020). Changes in Stress, Anxiety, and Depression Levels of Subscribers to a Daily Supportive Text Message Program (Text4Hope) During the COVID-19 Pandemic: Cross-Sectional Survey Study. JMIR Mental Health. 7(12). e22423–e22423. 57 indexed citations

15.

Cao, Liping, Jiangshan Chen, Yang S. Liu, et al.. (2020). Individualized identification of first-episode bipolar disorder using machine learning and cognitive tests. Journal of Affective Disorders. 282. 662–668. 8 indexed citations

16.

Mrklas, Kelly, Reham Shalaby, Marianne Hrabok, et al.. (2020). Prevalence of Perceived Stress, Anxiety, Depression, and Obsessive-Compulsive Symptoms in Health Care Workers and Other Workers in Alberta During the COVID-19 Pandemic: Cross-Sectional Survey. JMIR Mental Health. 7(9). e22408–e22408. 82 indexed citations

17.

Zhu, Shenghua, Junhui Wang, Yanbo Zhang, et al.. (2017). The role of neuroinflammation and amyloid in cognitive impairment in an APP/PS1 transgenic mouse model of Alzheimer's disease. CNS Neuroscience & Therapeutics. 23(4). 310–320. 76 indexed citations

18.

Zhang, Handi, Yanbo Zhang, Haiyun Xu, et al.. (2014). Olanzapine ameliorates neuropathological changes and increases IGF-1 expression in frontal cortex of C57BL/6 mice exposed to cuprizone. Psychiatry Research. 216(3). 438–445. 18 indexed citations

19.

Tian, Lin, Chun Meng, Hao Yan, et al.. (2011). Convergent Evidence from Multimodal Imaging Reveals Amygdala Abnormalities in Schizophrenic Patients and Their First-Degree Relatives. PLoS ONE. 6(12). e28794–e28794. 38 indexed citations

20.

Leveque, Jean‐Christophe, Wendy Macias‐Konstantopoulos, Anjali M. Rajadhyaksha, et al.. (2000). Intracellular Modulation of NMDA Receptor Function by Antipsychotic Drugs. Journal of Neuroscience. 20(11). 4011–4020. 128 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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