Jianhua Chi

1.0k total citations
12 papers, 183 citations indexed

About

Jianhua Chi is a scholar working on Infectious Diseases, Neurology and Reproductive Medicine. According to data from OpenAlex, Jianhua Chi has authored 12 papers receiving a total of 183 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 5 papers in Neurology and 3 papers in Reproductive Medicine. Recurrent topics in Jianhua Chi's work include COVID-19 Clinical Research Studies (6 papers), Long-Term Effects of COVID-19 (5 papers) and Ovarian cancer diagnosis and treatment (3 papers). Jianhua Chi is often cited by papers focused on COVID-19 Clinical Research Studies (6 papers), Long-Term Effects of COVID-19 (5 papers) and Ovarian cancer diagnosis and treatment (3 papers). Jianhua Chi collaborates with scholars based in China and Hong Kong. Jianhua Chi's co-authors include Qinglei Gao, Wenjian Gong, Xiaoming Xiong, Yun Zhou, Jihong Liu, Yanling Feng, Xing Xie, Xiao Li, Linghong Zhou and He Huang and has published in prestigious journals such as SHILAP Revista de lepidopterología, BMJ Open and Aging.

In The Last Decade

Jianhua Chi

11 papers receiving 178 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianhua Chi China 5 72 50 37 33 30 12 183
Ling Ma China 3 167 2.3× 101 2.0× 19 0.5× 76 2.3× 20 0.7× 5 310
Tian Yang China 8 58 0.8× 37 0.7× 26 0.7× 29 0.9× 72 2.4× 28 179
Audrey Lamouroux France 6 114 1.6× 18 0.4× 50 1.4× 25 0.8× 60 2.0× 16 206
Biheng Cheng China 7 192 2.7× 34 0.7× 86 2.3× 111 3.4× 81 2.7× 11 305
Ping Si China 3 72 1.0× 186 3.7× 22 0.6× 22 0.7× 15 0.5× 5 309
Ya-jun Chen China 5 199 2.8× 104 2.1× 20 0.5× 97 2.9× 20 0.7× 11 340
Jianying Zhou China 8 241 3.3× 61 1.2× 124 3.4× 89 2.7× 81 2.7× 10 432
Pauline Boucheron France 8 33 0.5× 48 1.0× 21 0.6× 37 1.1× 27 0.9× 13 330
Jaclyn M. Phillips United States 10 108 1.5× 10 0.2× 47 1.3× 19 0.6× 108 3.6× 31 306
Çağrı Gülümser Türkiye 10 136 1.9× 16 0.3× 61 1.6× 12 0.4× 76 2.5× 37 256

Countries citing papers authored by Jianhua Chi

Since Specialization
Citations

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

Fields of papers citing papers by Jianhua Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianhua Chi

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

All Works

12 of 12 papers shown
1.
Chi, Jianhua, Qinglei Gao, & Dan Liu. (2024). Tissue‐Resident Macrophages in Cancer: Friend or Foe?. Cancer Medicine. 13(21). e70387–e70387. 3 indexed citations
2.
Cai, Guangyao, Xiao Li, Jianhua Chi, et al.. (2024). Artificial intelligence-based models enabling accurate diagnosis of ovarian cancer using laboratory tests in China: a multicentre, retrospective cohort study. The Lancet Digital Health. 6(3). e176–e186. 34 indexed citations
3.
Zeng, Shaoqing, Yingjun Zhao, Jianhua Chi, et al.. (2023). Development and validation of a nomogram to predict cancer-specific survival of mucinous epithelial ovarian cancer after cytoreductive surgery. Journal of Ovarian Research. 16(1). 120–120. 1 indexed citations
4.
Liu, Jiahao, Xiaofei Jiao, Shaoqing Zeng, et al.. (2022). Oncological big data platforms for promoting digital competencies and professionalism in Chinese medical students: a cross-sectional study. BMJ Open. 12(9). e061015–e061015. 2 indexed citations
5.
6.
Xiong, Xiaoming, Xiaofei Jiao, Yang Yu, et al.. (2022). PRCTC: a machine learning model for prediction of response to corticosteroid therapy in COVID-19 patients. Aging. 14(1). 54–72. 3 indexed citations
7.
Xiong, Xiaoming, Jianhua Chi, & Qinglei Gao. (2021). Prevalence and risk factors of thrombotic events on patients with COVID-19: a systematic review and meta‐analysis. Thrombosis Journal. 19(1). 32–32. 47 indexed citations
8.
Gao, Yue, Xiaoming Xiong, Xiaofei Jiao, et al.. (2021). Development and Validation of a Machine Learning Model for Prediction of Response to Corticosteroid Therapy In COVID-19 Patients. SSRN Electronic Journal. 1 indexed citations
9.
Gao, Yue, Lingxi Chen, Jianhua Chi, et al.. (2021). Development and validation of an online model to predict critical COVID-19 with immune-inflammatory parameters. Journal of Intensive Care. 9(1). 19–19. 9 indexed citations
10.
Chi, Jianhua, Wenjian Gong, & Qinglei Gao. (2020). Clinical characteristics and outcomes of pregnant women with COVID-19 and the risk of vertical transmission: a systematic review. Archives of Gynecology and Obstetrics. 303(2). 337–345. 75 indexed citations
11.
Jiao, Xiaofei, Wang Ya, Dan Liu, et al.. (2020). A real‐world study of glucocorticoid treatment in COVID‐19 patients with different disease severities. SHILAP Revista de lepidopterología. 10(8). e235–e235. 1 indexed citations
12.

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ling Ma Breakdown of academic impact, for papers by Tian Yang Breakdown of academic impact, for papers by Audrey Lamouroux Breakdown of academic impact, for papers by Biheng Cheng Breakdown of academic impact, for papers by Ping Si Breakdown of academic impact, for papers by Ya-jun Chen Breakdown of academic impact, for papers by Jianying Zhou Breakdown of academic impact, for papers by Pauline Boucheron Breakdown of academic impact, for papers by Jaclyn M. Phillips Breakdown of academic impact, for papers by Çağrı Gülümser
Rankless by CCL
2026