Fu De Yang

2.0k total citations
53 papers, 1.7k citations indexed

About

Fu De Yang is a scholar working on Psychiatry and Mental health, Molecular Biology and Biological Psychiatry. According to data from OpenAlex, Fu De Yang has authored 53 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Psychiatry and Mental health, 16 papers in Molecular Biology and 14 papers in Biological Psychiatry. Recurrent topics in Fu De Yang's work include Schizophrenia research and treatment (21 papers), Tryptophan and brain disorders (14 papers) and Bipolar Disorder and Treatment (7 papers). Fu De Yang is often cited by papers focused on Schizophrenia research and treatment (21 papers), Tryptophan and brain disorders (14 papers) and Bipolar Disorder and Treatment (7 papers). Fu De Yang collaborates with scholars based in China, United States and Australia. Fu De Yang's co-authors include Mei Hong Xiu, Da Chun Chen, Xiang Yang Zhang, Thomas R. Kosten, Yun Tan, Therese A. Kosten, Sheng‐Xiang Lin, Jair C. Soares, Shu Ping Tan and Xiangyang Zhang and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and American Journal of Psychiatry.

In The Last Decade

Fu De Yang

52 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fu De Yang China 26 566 482 398 244 231 53 1.7k
Tiao‐Lai Huang Taiwan 28 654 1.2× 844 1.8× 407 1.0× 264 1.1× 492 2.1× 93 2.3k
Patricia Gassó Spain 26 490 0.9× 274 0.6× 426 1.1× 216 0.9× 90 0.4× 94 1.6k
Toshihito Suzuki Japan 27 438 0.8× 303 0.6× 416 1.0× 272 1.1× 143 0.6× 96 1.9k
Н. А. Бохан Russia 18 378 0.7× 267 0.6× 256 0.6× 122 0.5× 132 0.6× 243 1.3k
Fude Yang China 26 717 1.3× 461 1.0× 688 1.7× 470 1.9× 176 0.8× 146 2.4k
Dubravka Švob Štrac Croatia 24 313 0.6× 383 0.8× 625 1.6× 217 0.9× 221 1.0× 95 1.9k
Lotfi Gaha Tunisia 18 492 0.9× 457 0.9× 180 0.5× 99 0.4× 206 0.9× 111 1.5k
Antonio Drago Italy 21 405 0.7× 305 0.6× 353 0.9× 146 0.6× 125 0.5× 81 1.4k
Lian Yuan Cao China 19 522 0.9× 915 1.9× 231 0.6× 186 0.8× 482 2.1× 22 1.6k
Sergi Mas Spain 25 530 0.9× 230 0.5× 464 1.2× 202 0.8× 65 0.3× 115 1.8k

Countries citing papers authored by Fu De Yang

Since Specialization
Citations

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

Fields of papers citing papers by Fu De Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fu De Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Fu De Yang. A scholar is included among the top collaborators of Fu De Yang 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 Fu De Yang. Fu De Yang 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
2.
Liu, Liyuan, Fu De Yang, Fei Wang, et al.. (2023). An Improved Training Algorithm Based on Ensemble Penalized Cox Regression for Predicting Absolute Cancer Risk. China CDC Weekly. 5(9). 206–212.
3.
Zhu, Xiao Lin, Shu Ping Tan, Dong Li, et al.. (2017). P50 suppression deficits and psychopathology in Han Chinese patients with schizophrenia. Neuroscience Letters. 653. 346–350. 16 indexed citations
4.
Shi, Jing, Yun Tan, Jia Li, et al.. (2016). Ginkgo biloba and vitamin E ameliorate haloperidol-induced vacuous chewingmovement and brain-derived neurotrophic factor expression in a rat tardive dyskinesia model. Pharmacology Biochemistry and Behavior. 148. 53–58. 14 indexed citations
5.
Wu, Jing, Da Chun Chen, Yun Tan, et al.. (2016). Cognitive impairments in first-episode drug-naive and chronic medicated schizophrenia: MATRICS consensus cognitive battery in a Chinese Han population. Psychiatry Research. 238. 196–202. 48 indexed citations
6.
Xiu, Mei Hong, Li Tian, Yun Tan, et al.. (2015). Increased IL-3 serum levels in chronic patients with schizophrenia: Associated with psychopathology. Psychiatry Research. 229(1-2). 225–229. 25 indexed citations
7.
Han, Mei, Xiang Yang Zhang, Li Hui, et al.. (2015). Gender differences in cognitive deficits in schizophrenia with and without diabetes. Comprehensive Psychiatry. 63. 1–9. 29 indexed citations
8.
Tan, Yun, Jing Shi, Jia Li, et al.. (2015). Beneficial effects of EGb761 and vitamin E on haloperidol-induced vacuous chewing movements in rats: Possible involvement of S100B mechanisms. Behavioural Brain Research. 297. 124–130. 5 indexed citations
9.
Li, Qian, et al.. (2014). Pharmacokinetics and Tolerability of Extended-Release Quetiapine Fumarate in Han Chinese Patients with Schizophrenia. Clinical Pharmacokinetics. 53(5). 455–465. 12 indexed citations
10.
Tang, Wei, Feixue Zhang, Jiahong Liu, et al.. (2014). Prevalence of tardive dyskinesia in chronic male inpatients with schizophrenia on long-term clozapine versus typical antipsychotics. International Clinical Psychopharmacology. 29(6). 318–321. 8 indexed citations
11.
Zhang, Xiangyang, Rayan K. Al Jurdi, Anthony W. Zoghbi, et al.. (2013). Prevalence, demographic and clinical correlates of suicide attempts in Chinese medicated chronic inpatients with schizophrenia. Journal of Psychiatric Research. 47(10). 1370–1375. 29 indexed citations
12.
Zhu, Xiao Lin, Shu Ping Tan, Fu De Yang, et al.. (2013). Visual scanning of emotional faces in schizophrenia. Neuroscience Letters. 552. 46–51. 12 indexed citations
13.
Wu, Jing, Da Chun Chen, Mei Hong Xiu, et al.. (2013). Tardive dyskinesia is associated with greater cognitive impairment in schizophrenia. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 46. 71–77. 31 indexed citations
14.
Zhang, Xiangyang, Jun Liang, Da Chun Chen, et al.. (2012). Cigarette Smoking in Male Patients with Chronic Schizophrenia in a Chinese Population: Prevalence and Relationship to Clinical Phenotypes. PLoS ONE. 7(2). e30937–e30937. 54 indexed citations
15.
Zhang, Xiang Yang, Da Chun Chen, Mei Hong Xiu, et al.. (2012). Gender Differences in Never-Medicated First-Episode Schizophrenia and Medicated Chronic Schizophrenia Patients. The Journal of Clinical Psychiatry. 73(7). 1025–1033. 92 indexed citations
16.
Zhang, Xiang Yang, Da Chun Chen, Mei Hong Xiu, et al.. (2012). Thioredoxin, a novel oxidative stress marker and cognitive performance in chronic and medicated schizophrenia versus healthy controls. Schizophrenia Research. 143(2-3). 301–306. 36 indexed citations
17.
Zhang, Ruiling, Wei Hao, Chuansheng Wang, et al.. (2011). The prevalence and clinical‐demographic correlates of diabetes mellitus in chronic schizophrenic patients receiving clozapine. Human Psychopharmacology Clinical and Experimental. 26(6). 392–396. 17 indexed citations
18.
Yang, Yan, Shilong Sun, Wen Jun Li, et al.. (2011). Decreased serum brain-derived neurotrophic factor levels in schizophrenic patients with tardive dyskinesia. Neuroscience Letters. 502(1). 37–40. 19 indexed citations
19.
Yang, Fu De. (2010). Inhibitory effect of sodium chloride on potato tyrosinase. Food Science and Technology International. 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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