Jia Pu

1.9k total citations · 1 hit paper
40 papers, 1.4k citations indexed

About

Jia Pu is a scholar working on Cardiology and Cardiovascular Medicine, General Health Professions and Surgery. According to data from OpenAlex, Jia Pu has authored 40 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 7 papers in General Health Professions and 5 papers in Surgery. Recurrent topics in Jia Pu's work include Blood Pressure and Hypertension Studies (4 papers), Healthcare Policy and Management (4 papers) and Lipoproteins and Cardiovascular Health (3 papers). Jia Pu is often cited by papers focused on Blood Pressure and Hypertension Studies (4 papers), Healthcare Policy and Management (4 papers) and Lipoproteins and Cardiovascular Health (3 papers). Jia Pu collaborates with scholars based in United States, China and Mexico. Jia Pu's co-authors include Latha Palaniappan, Clyde W. Yancy, Mercedes R. Carnethon, George Howard, Alain G. Bertoni, Michelle A. Albert, Herman A. Taylor, Cheryl A.M. Anderson, Monte S. Willis and Mahasin S. Mujahid and has published in prestigious journals such as Proceedings of the National Academy of Sciences, JAMA and Circulation.

In The Last Decade

Jia Pu

36 papers receiving 1.3k citations

Hit Papers

Cardiovascular Health in African Americans: A Scientific ... 2017 2026 2020 2023 2017 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jia Pu United States 15 437 270 237 171 148 40 1.4k
Kathryn Cardarelli United States 18 264 0.6× 394 1.5× 319 1.3× 152 0.9× 240 1.6× 42 1.5k
Kristopher Kapphahn United States 18 228 0.5× 282 1.0× 160 0.7× 101 0.6× 106 0.7× 57 1.2k
Rajat Das Gupta United States 22 227 0.5× 332 1.2× 197 0.8× 52 0.3× 103 0.7× 115 1.7k
Gregory Nah United States 18 436 1.0× 142 0.5× 119 0.5× 163 1.0× 220 1.5× 31 1.1k
Ofra Kalter‐Leibovici Israel 21 162 0.4× 185 0.7× 132 0.6× 66 0.4× 115 0.8× 66 1.3k
Mark Upton United Kingdom 18 163 0.4× 241 0.9× 115 0.5× 124 0.7× 340 2.3× 29 1.3k
Lynn H. Urban United States 12 919 2.1× 196 0.7× 207 0.9× 151 0.9× 129 0.9× 19 1.9k
Lorena García United States 22 310 0.7× 595 2.2× 331 1.4× 486 2.8× 447 3.0× 101 2.0k
Azita Goshtasebi Iran 13 80 0.2× 254 0.9× 256 1.1× 135 0.8× 71 0.5× 39 1.4k
Thirimon Moe‐Byrne United Kingdom 15 102 0.2× 287 1.1× 224 0.9× 105 0.6× 127 0.9× 32 1.4k

Countries citing papers authored by Jia Pu

Since Specialization
Citations

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

Fields of papers citing papers by Jia Pu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jia Pu

This figure shows the co-authorship network connecting the top 25 collaborators of Jia Pu. A scholar is included among the top collaborators of Jia Pu 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 Jia Pu. Jia Pu 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.
Shi, Tao, Jianping Yang, Fazhi Yang, et al.. (2025). Survival prediction modelling in patients with acute ST-segment elevation myocardial infarction with LASSO regression and explainable machine learning. Frontiers in Medicine. 12. 1594273–1594273.
3.
Wang, Shuangshuang, Yan Zhang, Jia Pu, et al.. (2025). OsNLP3 and OsPHR2 orchestrate direct and mycorrhizal pathways for nitrate uptake by regulating NAR2.1–NRT2s complexes in rice. Proceedings of the National Academy of Sciences. 122(8). e2416345122–e2416345122. 5 indexed citations
4.
Zhu, Shajun, Jian An, Jia Pu, et al.. (2025). Oxygen self-supplying porphyrinic MOFs to alleviate tumor hypoxia for starvation-amplified photodynamic therapy. Chemical Communications. 61(18). 3748–3751. 1 indexed citations
6.
Zhai, Yufei, Mengyao Wu, Jinming Hu, et al.. (2024). Immunomodulatory effects and multi-omics analysis of Codonopsis Pilosula Extract in septic rats. Journal of Ethnopharmacology. 337(Pt 2). 118847–118847. 3 indexed citations
7.
Pu, Jia & Jing Yuan. (2023). Weight change patterns across adulthood in relation to osteoporosis and fracture among non-obese individuals. Archives of Osteoporosis. 19(1). 2–2. 4 indexed citations
8.
Peterson, Greg, Jia Pu, David J. Magid, et al.. (2021). Effect of the Million Hearts Cardiovascular Disease Risk Reduction Model on Initiating and Intensifying Medications. JAMA Cardiology. 6(9). 1050–1050. 10 indexed citations
10.
He, Dian, et al.. (2020). [Perinatal outcomes on mortality and influencing factors among HIV-infected mothers in Sichuan province].. PubMed. 41(10). 1686–1691. 1 indexed citations
11.
Huang, Huaping, et al.. (2019). Effect of mild hypothermia on prognosis of patients with severe traumatic brain injury: A meta-analysis with trial sequential analysis. Australian Critical Care. 33(4). 375–381. 3 indexed citations
12.
Huang, Huaping, et al.. (2019). Prophylactic negative pressure wound therapy for surgical site infection in obese women undergoing cesarean section: an evidence synthesis with trial sequential analysis. The Journal of Maternal-Fetal & Neonatal Medicine. 34(15). 2498–2505. 14 indexed citations
13.
Carnethon, Mercedes R., Jia Pu, George Howard, et al.. (2017). Cardiovascular Health in African Americans: A Scientific Statement From the American Heart Association. Circulation. 136(21). e393–e423. 763 indexed citations breakdown →
14.
Zhang, Xiao & Jia Pu. (2016). E-cigarette use among US adolescents: secondhand smoke at home matters. International Journal of Public Health. 61(2). 209–213. 14 indexed citations
15.
Abraham, Olufunmilola, Jia Pu, Loren J. Schleiden, & Steven M. Albert. (2016). Factors contributing to poor satisfaction with sleep and healthcare seeking behavior in older adults. Sleep Health. 3(1). 43–48. 40 indexed citations
16.
Chung, Sukyung, Nicole E. Johns, Beinan Zhao, et al.. (2015). Clocks Moving at Different Speeds. Medical Care. 54(3). 269–276. 18 indexed citations
17.
Pu, Jia, Betty Chewning, Heather M. Johnson, et al.. (2015). Health Behavior Change after Blood Pressure Feedback. PLoS ONE. 10(10). e0141217–e0141217. 9 indexed citations
18.
Pu, Jia, Robert J. Romanelli, Beinan Zhao, et al.. (2015). Dyslipidemia in Special Ethnic Populations. Cardiology Clinics. 33(2). 325–333. 24 indexed citations
19.
Romanelli, Robert J., Sukyung Chung, Jia Pu, et al.. (2015). Comparative effectiveness of early versus delayed metformin in the treatment of type 2 diabetes. Diabetes Research and Clinical Practice. 108(1). 170–178. 13 indexed citations
20.
Pu, Jia & Betty Chewning. (2012). Racial difference in diabetes preventive care. Research in Social and Administrative Pharmacy. 9(6). 790–796. 28 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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