Xiuli Qiu

474 total citations
26 papers, 320 citations indexed

About

Xiuli Qiu is a scholar working on Rehabilitation, Epidemiology and Biological Psychiatry. According to data from OpenAlex, Xiuli Qiu has authored 26 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Rehabilitation, 12 papers in Epidemiology and 6 papers in Biological Psychiatry. Recurrent topics in Xiuli Qiu's work include Stroke Rehabilitation and Recovery (14 papers), Acute Ischemic Stroke Management (11 papers) and Tryptophan and brain disorders (6 papers). Xiuli Qiu is often cited by papers focused on Stroke Rehabilitation and Recovery (14 papers), Acute Ischemic Stroke Management (11 papers) and Tryptophan and brain disorders (6 papers). Xiuli Qiu collaborates with scholars based in China and United States. Xiuli Qiu's co-authors include Jinfeng Miao, Wenzhe Sun, Yan Lan, Zhou Zhu, Suiqiang Zhu, Xin Zhao, Xiaoyan Song, Yanyan Wang, Junhua Mei and Zhu Zhou and has published in prestigious journals such as Stroke, Journal of Affective Disorders and Journal of Psychosomatic Research.

In The Last Decade

Xiuli Qiu

26 papers receiving 313 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiuli Qiu China 12 108 93 83 53 49 26 320
Jincai He China 11 75 0.7× 48 0.5× 39 0.5× 31 0.6× 30 0.6× 20 333
Oren Tene Israel 10 57 0.5× 34 0.4× 48 0.6× 27 0.5× 37 0.8× 24 249
Seongheon Kim South Korea 9 84 0.8× 81 0.9× 66 0.8× 43 0.8× 10 0.2× 31 299
Annamaria Lax Italy 5 111 1.0× 132 1.4× 46 0.6× 20 0.4× 28 0.6× 8 318
Matheus Uba Chupel Portugal 14 38 0.4× 153 1.6× 28 0.3× 13 0.2× 29 0.6× 20 522
Kengo Shimoda Japan 7 149 1.4× 204 2.2× 74 0.9× 52 1.0× 27 0.6× 9 425
Hysse Birgitte Forchhammer Denmark 10 153 1.4× 71 0.8× 21 0.3× 147 2.8× 45 0.9× 18 509
Ilenia Delrio Italy 8 98 0.9× 57 0.6× 70 0.8× 60 1.1× 10 0.2× 13 384
Gwo‐Chi Hu Taiwan 11 67 0.6× 109 1.2× 25 0.3× 153 2.9× 8 0.2× 26 404
Miguel Castillo Spain 5 119 1.1× 148 1.6× 13 0.2× 9 0.2× 29 0.6× 9 397

Countries citing papers authored by Xiuli Qiu

Since Specialization
Citations

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

Fields of papers citing papers by Xiuli Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiuli Qiu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiuli Qiu. A scholar is included among the top collaborators of Xiuli Qiu 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 Xiuli Qiu. Xiuli Qiu 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
1.
Li, Guo, Jinfeng Miao, Jing Ping, et al.. (2024). Development of predictive model for post-stroke depression at discharge based on decision tree algorithm: A multi-center hospital-based cohort study. Journal of Psychosomatic Research. 187. 111942–111942. 1 indexed citations
2.
Qiu, Xiuli, Yan Lan, Jinfeng Miao, et al.. (2023). Depressive symptom dimensions predict the treatment effect of repetitive transcranial magnetic stimulation for post-stroke depression. Journal of Psychosomatic Research. 171. 111382–111382. 7 indexed citations
3.
Wang, Yanyan, Wenzhe Sun, Jinfeng Miao, et al.. (2023). Nomogram including indirect bilirubin for the prediction of post-stroke depression at 3 months after mild acute ischemic stroke onset. Frontiers in Neurology. 14. 1093146–1093146. 3 indexed citations
4.
Li, Guo, Wenzhe Sun, Jinfeng Miao, et al.. (2023). Psychopathological network for early-onset post-stroke depression symptoms. BMC Psychiatry. 23(1). 114–114. 9 indexed citations
5.
Lan, Yan, Xiuli Qiu, Jinfeng Miao, et al.. (2022). Nomogram for Persistent Post-Stroke Depression and Decision Curve Analysis. Clinical Interventions in Aging. Volume 17. 393–403. 12 indexed citations
6.
Qiu, Xiuli, He Wang, Yan Lan, et al.. (2022). Explore the influencing factors and construct random forest models of post-stroke depression at 3 months in males and females. BMC Psychiatry. 22(1). 811–811. 8 indexed citations
7.
Li, Guo, Wenzhe Sun, Jinfeng Miao, et al.. (2022). Neural Substrates of Poststroke Depression: Current Opinions and Methodology Trends. Frontiers in Neuroscience. 16. 812410–812410. 8 indexed citations
8.
Li, Guo, Jing Ping, Guohua Chen, et al.. (2022). Structural disconnection-based prediction of poststroke depression. Translational Psychiatry. 12(1). 461–461. 18 indexed citations
9.
Wang, Yanyan, He Wang, Wenzhe Sun, et al.. (2022). Higher Concentration of Adrenocorticotropic Hormone Predicts Post-Stroke Depression. Clinical Interventions in Aging. Volume 17. 417–427. 11 indexed citations
10.
11.
Sun, Wenzhe, Jinfeng Miao, Yang Song, et al.. (2021). Systemic low-grade inflammation and depressive symptomology at chronic phase of ischemic stroke: The chain mediating role of fibrinogen and neutrophil counts. Brain Behavior and Immunity. 100. 332–341. 18 indexed citations
12.
Guo, Li, Jinfeng Miao, Jing Ping, et al.. (2021). Higher Serum Lactic Dehydrogenase is Associated with Post-Stroke Depression at Discharge. Clinical Interventions in Aging. Volume 16. 2047–2055. 8 indexed citations
13.
Qiu, Xiuli, Jinfeng Miao, Yan Lan, et al.. (2021). Artificial neural network and decision tree models of post-stroke depression at 3 months after stroke in patients with BMI ≥ 24. Journal of Psychosomatic Research. 150. 110632–110632. 13 indexed citations
14.
Qiu, Xiuli, Yan Lan, Jinfeng Miao, et al.. (2021). A Comparative Study on the Psychological Health of Frontline Health Workers in Wuhan Under and After the Lockdown. Frontiers in Psychiatry. 12. 701032–701032. 4 indexed citations
15.
Guo, Li, Jing Ping, Guohua Chen, et al.. (2021). Development and Validation of 3-Month Major Post-Stroke Depression Prediction Nomogram After Acute Ischemic Stroke Onset. Clinical Interventions in Aging. Volume 16. 1439–1447. 12 indexed citations
16.
Wang, Yanyan, Wenzhe Sun, Jinfeng Miao, et al.. (2021). Higher fasting C-peptide is associated with post-stroke depression: a multicenter prospective cohort study. BMC Neurology. 21(1). 383–383. 7 indexed citations
17.
Guo, Li, Jinfeng Miao, Wenzhe Sun, et al.. (2020). Lower Serum Uric Acid Is Associated With Post-Stroke Depression at Discharge. Frontiers in Psychiatry. 11. 52–52. 21 indexed citations
18.
Sun, Wenzhe, Li Guo, Yang Song, et al.. (2020). A web based dynamic MANA Nomogram for predicting the malignant cerebral edema in patients with large hemispheric infarction. BMC Neurology. 20(1). 360–360. 10 indexed citations
19.
Li, Guo, Junhua Mei, Jing You, et al.. (2019). Sociodemographic characteristics associated with adolescent depression in urban and rural areas of Hubei province: a cross-sectional analysis. BMC Psychiatry. 19(1). 386–386. 40 indexed citations
20.
Miao, Jinfeng, Xiaoyan Song, Wenzhe Sun, et al.. (2019). Predictors of malignant cerebral edema in cerebral artery infarction: A meta-analysis. Journal of the Neurological Sciences. 409. 116607–116607. 31 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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