Didi Han

1.1k total citations
59 papers, 640 citations indexed

About

Didi Han is a scholar working on Surgery, Epidemiology and Oncology. According to data from OpenAlex, Didi Han has authored 59 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Surgery, 23 papers in Epidemiology and 13 papers in Oncology. Recurrent topics in Didi Han's work include Sepsis Diagnosis and Treatment (17 papers), Hemodynamic Monitoring and Therapy (8 papers) and Cardiovascular Function and Risk Factors (4 papers). Didi Han is often cited by papers focused on Sepsis Diagnosis and Treatment (17 papers), Hemodynamic Monitoring and Therapy (8 papers) and Cardiovascular Function and Risk Factors (4 papers). Didi Han collaborates with scholars based in China, United States and South Korea. Didi Han's co-authors include Jun Lyu, Fengshuo Xu, Shuai Zheng, Luming Zhang, Haiyan Yin, Zichen Wang, Wentao Wu, Tao Huang, Xiaojie Feng and Fanfan Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Diabetes and Marine Pollution Bulletin.

In The Last Decade

Didi Han

57 papers receiving 632 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Didi Han China 17 211 182 147 110 103 59 640
Fengshuo Xu China 16 244 1.2× 187 1.0× 151 1.0× 100 0.9× 113 1.1× 59 637
Rajesh Khadgawat India 17 188 0.9× 229 1.3× 67 0.5× 78 0.7× 125 1.2× 67 807
Emin Murat Akbaş Türkiye 14 219 1.0× 154 0.8× 95 0.6× 129 1.2× 331 3.2× 38 891
Sanjin Rački Croatia 17 347 1.6× 225 1.2× 74 0.5× 158 1.4× 30 0.3× 102 818
Tung‐Min Yu Taiwan 18 165 0.8× 149 0.8× 159 1.1× 247 2.2× 49 0.5× 68 911
E.Q. Wu United States 12 175 0.8× 201 1.1× 98 0.7× 42 0.4× 59 0.6× 39 694
Chun‐I Huang Taiwan 18 164 0.8× 325 1.8× 193 1.3× 53 0.5× 68 0.7× 45 1.1k
Jia‐Jin Chen Taiwan 16 125 0.6× 124 0.7× 74 0.5× 287 2.6× 38 0.4× 55 654
Benan Kasapoğlu Türkiye 15 187 0.9× 125 0.7× 57 0.4× 104 0.9× 24 0.2× 45 633
Vladimir Gašparović Croatia 14 148 0.7× 97 0.5× 130 0.9× 59 0.5× 74 0.7× 29 523

Countries citing papers authored by Didi Han

Since Specialization
Citations

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

Fields of papers citing papers by Didi Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Didi Han

This figure shows the co-authorship network connecting the top 25 collaborators of Didi Han. A scholar is included among the top collaborators of Didi Han 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 Didi Han. Didi Han 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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Han, Didi, Fengshuo Xu, Luming Zhang, et al.. (2022). Early prediction of in-hospital mortality in patients with congestive heart failure in intensive care unit: a retrospective observational cohort study. BMJ Open. 12(7). e059761–e059761. 7 indexed citations
3.
4.
Wu, Wentao, Aozi Feng, Wen Ma, et al.. (2022). Worldwide long-term trends in the incidence of nonalcoholic fatty liver disease during 1990–2019: A joinpoint and age-period-cohort analysis. Frontiers in Cardiovascular Medicine. 9. 891963–891963. 16 indexed citations
5.
Han, Didi, et al.. (2022). Using Restricted Cubic Splines to Study the Duration of Antibiotic Use in the Prognosis of Ventilator-Associated Pneumonia. Frontiers in Pharmacology. 13. 898630–898630. 4 indexed citations
6.
He, Xuejia, et al.. (2021). Physiological and behavioral responses of the copepod Temora turbinata to hypoxia. Marine Pollution Bulletin. 171. 112692–112692. 4 indexed citations
7.
Han, Didi, Qiao Huang, Fengshuo Xu, et al.. (2021). Competing-risks nomogram for predicting cancer-specific death in upper tract urothelial carcinoma: a population-based analysis. BMJ Open. 11(7). e048243–e048243. 4 indexed citations
8.
He, Hairong, Tianjie Liu, Didi Han, et al.. (2021). Incidence trends and survival prediction of urothelial cancer of the bladder: a population-based study. World Journal of Surgical Oncology. 19(1). 221–221. 3 indexed citations
9.
Yang, Rui, Didi Han, Luming Zhang, et al.. (2021). Analysis of the correlation between the longitudinal trajectory of SOFA scores and prognosis in patients with sepsis at 72 hour after admission based on group trajectory modeling. SHILAP Revista de lepidopterología. 2(1). 39–49. 13 indexed citations
10.
Li, Junyuan, Qiao Huang, Xiaojie Feng, et al.. (2021). Developing and validating a novel nomogram used a competing-risks model for predicting the prognosis of primary fallopian tube carcinoma: a retrospective study based on the SEER database. Annals of Translational Medicine. 9(5). 378–378. 8 indexed citations
11.
Han, Didi, Shuai Zheng, Fengshuo Xu, et al.. (2021). Prognostic Value of Blood Urea Nitrogen/Creatinine Ratio for Septic Shock: An Analysis of the MIMIC‐III Clinical Database. BioMed Research International. 2021(1). 5595042–5595042. 20 indexed citations
12.
Zhang, Luming, Zichen Wang, Fengshuo Xu, et al.. (2021). The Role of Glucocorticoids in the Treatment of ARDS: A Multicenter Retrospective Study Based on the eICU Collaborative Research Database. Frontiers in Medicine. 8. 678260–678260. 2 indexed citations
13.
Zheng, Shuai, Rui Yang, Wentao Wu, et al.. (2021). Using Restricted Cubic Splines to Study the Trajectory of Systolic Blood Pressure in the Prognosis of Acute Myocardial Infarction. Frontiers in Cardiovascular Medicine. 8. 740580–740580. 3 indexed citations
14.
Xu, Fengshuo, Xiang Li, Qiao Huang, et al.. (2021). Competing-Risk Nomograms for Predicting the Prognosis of Patients With Infiltrating Lobular Carcinoma of the Breast. Clinical Breast Cancer. 21(6). e704–e714. 2 indexed citations
15.
Feng, Xiaojie, Wentao Wu, Fanfan Zhao, et al.. (2020). Relationship Between Body Mass Index and Kidney Stones Based on Dose–Response Analyses Using Restricted Cubic Splines Applied to NHANES 2011–2016 Data. Journal of Renal Nutrition. 31(3). 263–269. 21 indexed citations
16.
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Wang, Meng, Didi Han, Lining Wang, et al.. (2016). The comparison of two systemic lupus erythematosus scoring systems for assessing lupus nephritis activity. 20(6). 391. 1 indexed citations
18.
Choi, et al.. (2002). Factors Affecting Malnutrition in Continuous Ambulatory Peritoneal Dialysis Patients: A Cross-sectional Study.. 21(6). 943–955. 6 indexed citations
19.
Han, Didi, et al.. (2001). Predictors and Clinical Features of Long-term Continuous Ambulatory Peritoneal Dialysis(CAPD).. 20(2). 306–314. 2 indexed citations
20.
Ha, Sungji, Seung Ju Kim, Do‐Hoon Kim, et al.. (1999). Association between apolipoprotein E polymorphism and macroalbuminuria in patients with non-insulin dependent diabetes mellitus. Nephrology Dialysis Transplantation. 14(9). 2144–2149. 32 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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