Saiping Jiang

417 total citations
10 papers, 247 citations indexed

About

Saiping Jiang is a scholar working on Pharmacology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Saiping Jiang has authored 10 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pharmacology, 4 papers in Infectious Diseases and 4 papers in Epidemiology. Recurrent topics in Saiping Jiang's work include Antibiotics Pharmacokinetics and Efficacy (6 papers), COVID-19 Clinical Research Studies (3 papers) and Urinary Tract Infections Management (2 papers). Saiping Jiang is often cited by papers focused on Antibiotics Pharmacokinetics and Efficacy (6 papers), COVID-19 Clinical Research Studies (3 papers) and Urinary Tract Infections Management (2 papers). Saiping Jiang collaborates with scholars based in China and Tunisia. Saiping Jiang's co-authors include Xiaoyang Lu, Zhenwei Yu, Zhengyi Zhu, Xin Li, Lu Li, Pei Liang, Ping Yang, Yun Liao, Jia Li and Xiaoliang Wu and has published in prestigious journals such as PLoS ONE, Frontiers in Pharmacology and International Journal of Antimicrobial Agents.

In The Last Decade

Saiping Jiang

9 papers receiving 245 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saiping Jiang China 6 143 88 73 43 40 10 247
Rebecca S. Pettit United States 14 201 1.4× 150 1.7× 123 1.7× 43 1.0× 35 0.9× 40 544
E. Papy France 9 116 0.8× 95 1.1× 89 1.2× 97 2.3× 65 1.6× 15 320
Athena L V Hobbs United States 10 121 0.8× 129 1.5× 65 0.9× 68 1.6× 93 2.3× 31 355
Sutthiporn Pattharachayakul Thailand 12 161 1.1× 119 1.4× 140 1.9× 31 0.7× 78 1.9× 33 431
Patrick M. McDaneld United States 9 179 1.3× 123 1.4× 186 2.5× 106 2.5× 61 1.5× 17 353
Soo Min Jang United States 10 133 0.9× 40 0.5× 44 0.6× 33 0.8× 15 0.4× 25 255
Chien‐Chih Wu Taiwan 12 142 1.0× 69 0.8× 22 0.3× 32 0.7× 96 2.4× 33 408
D. Matthew Shoemaker United States 5 176 1.2× 86 1.0× 61 0.8× 41 1.0× 74 1.9× 10 301
Joseph J. Carreno United States 13 142 1.0× 125 1.4× 46 0.6× 96 2.2× 159 4.0× 22 369
E. Salas Spain 11 58 0.4× 73 0.8× 39 0.5× 33 0.8× 100 2.5× 30 370

Countries citing papers authored by Saiping Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Saiping Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saiping Jiang

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

All Works

10 of 10 papers shown
1.
Chen, Na, Xuben Yu, Lu Li, et al.. (2024). Target Attainment and Population Pharmacokinetics of Nirmatrelvir/Ritonavir in Critically Ill Adult Patients. Infection and Drug Resistance. Volume 17. 4055–4065.
2.
Dong, Rong, et al.. (2023). High concentrations of nirmatrelvir/ritonavir in critically ill patients receiving continuous renal replacement therapy. International Journal of Antimicrobial Agents. 63(1). 106997–106997. 3 indexed citations
3.
Wang, Xiaojuan, et al.. (2021). Pharmacokinetic interactions between the potential COVID-19 treatment drugs lopinavir/ritonavir and arbidol in rats. Journal of Zhejiang University SCIENCE B. 22(7). 599–602. 2 indexed citations
4.
Li, Lu, Xin Li, Jia Li, et al.. (2020). Recommendation of Antimicrobial Dosing Optimization During Continuous Renal Replacement Therapy. Frontiers in Pharmacology. 11. 786–786. 73 indexed citations
5.
Li, Lu, et al.. (2020). <p>Antiviral Agent Therapy Optimization in Special Populations of COVID-19 Patients</p>. Drug Design Development and Therapy. Volume 14. 3001–3013. 22 indexed citations
6.
Jiang, Saiping, Lu Li, Chunhong Zhang, et al.. (2020). [Pharmaceutical care for severe and critically ill patients with COVID-19].. PubMed. 49(2). 158–169. 1 indexed citations
8.
Yang, Ping, Saiping Jiang, & Xiaoyang Lu. (2017). Effectiveness of continuous improvement by a clinical pharmacist-led guidance team on the prophylactic antibiotics usage rationality in intervention procedure at a Chinese tertiary teaching hospital. Therapeutics and Clinical Risk Management. Volume 13. 469–476. 9 indexed citations
9.
Jiang, Saiping, Zhengyi Zhu, Xiaoliang Wu, et al.. (2014). Effectiveness of pharmacist dosing adjustment for critically ill patients receiving continuous renal replacement therapy: a comparative study. Therapeutics and Clinical Risk Management. 10. 405–405. 27 indexed citations
10.
Jiang, Saiping, et al.. (2013). Impact of pharmacist antimicrobial dosing adjustments in septic patients on continuous renal replacement therapy in an intensive care unit. Scandinavian Journal of Infectious Diseases. 45(12). 891–899. 26 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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