Bochao Jia

597 total citations · 2 hit papers
33 papers, 358 citations indexed

About

Bochao Jia is a scholar working on Rheumatology, Epidemiology and Genetics. According to data from OpenAlex, Bochao Jia has authored 33 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Rheumatology, 6 papers in Epidemiology and 6 papers in Genetics. Recurrent topics in Bochao Jia's work include Systemic Lupus Erythematosus Research (8 papers), Rheumatoid Arthritis Research and Therapies (6 papers) and Chronic Lymphocytic Leukemia Research (4 papers). Bochao Jia is often cited by papers focused on Systemic Lupus Erythematosus Research (8 papers), Rheumatoid Arthritis Research and Therapies (6 papers) and Chronic Lymphocytic Leukemia Research (4 papers). Bochao Jia collaborates with scholars based in United States, China and United Kingdom. Bochao Jia's co-authors include Faming Liang, Thomas Dörner, Maria Silk, Christina Dickson, Marta Mosca, Eric F. Morand, Michelle Petri, Daniel J. Wallace, Ronald van Vollenhoven and Yoshiya Tanaka and has published in prestigious journals such as The Lancet, Journal of the American Statistical Association and Biometrics.

In The Last Decade

Bochao Jia

28 papers receiving 356 citations

Hit Papers

Baricitinib for systemic ... 2023 2026 2024 2023 2023 25 50 75

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Bochao Jia 230 124 77 71 43 33 358
Peter Sahlström 148 0.6× 199 1.6× 90 1.2× 64 0.9× 42 1.0× 12 334
Sander de Ridder 172 0.7× 89 0.7× 42 0.5× 55 0.8× 37 0.9× 11 296
Wael Jarjour 103 0.4× 251 2.0× 91 1.2× 36 0.5× 74 1.7× 22 449
Ayan Das Gupta 253 1.1× 374 3.0× 95 1.2× 46 0.6× 36 0.8× 33 745
Bernard Lauwerys 84 0.4× 129 1.0× 26 0.3× 36 0.5× 35 0.8× 16 251
Nick Teoh 164 0.7× 217 1.8× 258 3.4× 100 1.4× 34 0.8× 20 447
Maria Sandberg 173 0.8× 24 0.2× 19 0.2× 39 0.5× 21 0.5× 15 373
Emiko Taniguchi 301 1.3× 60 0.5× 50 0.6× 93 1.3× 91 2.1× 32 748
Yajuan Shen 35 0.2× 222 1.8× 32 0.4× 78 1.1× 54 1.3× 16 394

Countries citing papers authored by Bochao Jia

Since Specialization
Citations

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

Fields of papers citing papers by Bochao Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bochao Jia

This figure shows the co-authorship network connecting the top 25 collaborators of Bochao Jia. A scholar is included among the top collaborators of Bochao Jia 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 Bochao Jia. Bochao Jia 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.
Cheng, Tao, et al.. (2025). Potential Key Genes for Giant Cell Arteritis Revealed Based on Single-Cell Sequencing and Mendelian Randomization Analysis. International Archives of Allergy and Immunology. 187(2). 199–212. 1 indexed citations
2.
Jia, Bochao, Zhiqi Li, Mengxue Wang, et al.. (2025). Global and regional burden of four drug use disorders in the elderly, 1990 to 2021: an analysis of the global burden of disease study. BMC Geriatrics. 25(1). 434–434.
3.
Jia, Bochao, Xuexue Zhang, Miaoran Wang, et al.. (2025). Application of monoclonal antibodies in diabetes: A bibliometric analysis from 2004–2024. Human Vaccines & Immunotherapeutics. 21(1). 2536910–2536910.
4.
Cheng, Tao, et al.. (2024). Causal association between blood metabolites and risk of hypertension: a Mendelian randomization study. Frontiers in Cardiovascular Medicine. 11. 1373480–1373480. 3 indexed citations
5.
Jia, Bochao, et al.. (2024). Artificial intelligence and atrial fibrillation: A bibliometric analysis from 2013 to 2023. Heliyon. 10(15). e35067–e35067. 4 indexed citations
6.
Sun, Ning, Rui-Li Wei, Bochao Jia, et al.. (2024). Research trends and key contributors in studies on influenza vaccines for children: A 20-year bibliometric analysis. Human Vaccines & Immunotherapeutics. 21(1). 2443281–2443281.
8.
Petri, Michelle, Ian N Bruce, Thomas Dörner, et al.. (2023). Baricitinib for systemic lupus erythematosus: a double-blind, randomised, placebo-controlled, phase 3 trial (SLE-BRAVE-II). The Lancet. 401(10381). 1011–1019. 89 indexed citations breakdown →
9.
Morand, Eric F., Edward M Vital, Michelle Petri, et al.. (2023). Baricitinib for systemic lupus erythematosus: a double-blind, randomised, placebo-controlled, phase 3 trial (SLE-BRAVE-I). The Lancet. 401(10381). 1001–1010. 79 indexed citations breakdown →
10.
Taylor, Peter C., Yun-Fei Chen, Janet Pope, et al.. (2023). Patient Disease Trajectories in Rheumatoid Arthritis Patients Treated with Baricitinib 4-mg in Four Phase 3 Clinical Studies. Rheumatology and Therapy. 10(2). 463–476. 2 indexed citations
11.
Schmitz, Jochen, Nick Powell, Richard E. Higgs, et al.. (2023). Mirikizumab Regulates Genes Involved in Ulcerative Colitis Disease Activity and Anti-TNF Resistance: Results From a Phase 2 Study. Clinical and Translational Gastroenterology. 14(7). e00578–e00578. 15 indexed citations
12.
Dörner, Thomas, Ronald van Vollenhoven, Andrea Doria, et al.. (2022). Baricitinib decreases anti-dsDNA in patients with systemic lupus erythematosus: results from a phase II double-blind, randomized, placebo-controlled trial. Arthritis Research & Therapy. 24(1). 112–112. 32 indexed citations
13.
Wu, Jianmin, Bochao Jia, Hong Zhang, et al.. (2022). Maintenance of Patient-Reported Outcomes in Baricitinib-Treated Patients with Moderate-to-Severe Active Rheumatoid Arthritis: Post Hoc Analyses from Two Phase 3 Trials. Rheumatology and Therapy. 9(2). 541–553. 3 indexed citations
14.
Morand, Eric F., R. Furie, Edward M Vital, et al.. (2022). POS0190 EFFICACY AND SAFETY OF BARICITINIB IN PATIENTS WITH SYSTEMIC LUPUS ERYTHEMATOSUS: RESULTS FROM TWO RANDOMISED, DOUBLE-BLIND, PLACEBO-CONTROLLED, PARALLEL-GROUP, PHASE 3 STUDIES. Annals of the Rheumatic Diseases. 81. 327–328. 6 indexed citations
16.
Schmitz, Jochen, Nick Powell, Klaus Gottlieb, et al.. (2020). DOP65 Mirikizumab regulates genes involved in anti-TNF resistance and ulcerative colitis disease activity. Journal of Crohn s and Colitis. 14(Supplement_1). S103–S104. 3 indexed citations
17.
Liang, Faming, et al.. (2020). Markov Neighborhood Regression for High-Dimensional Inference. Journal of the American Statistical Association. 117(539). 1200–1214. 7 indexed citations
18.
Zhang, Aiying, Biao Cai, Wenxing Hu, et al.. (2019). Joint Bayesian-Incorporating Estimation of Multiple Gaussian Graphical Models to Study Brain Connectivity Development in Adolescence. IEEE Transactions on Medical Imaging. 39(2). 357–365. 9 indexed citations
19.
Jia, Bochao, et al.. (2019). Fast hybrid Bayesian integrative learning of multiple gene regulatory networks for type 1 diabetes. Biostatistics. 22(2). 233–249. 2 indexed citations
20.
Jia, Bochao & Faming Liang. (2018). Learning Multiple Gene Regulatory Networks in Type 1 Diabetes through a Fast Bayesian Integrative Method. 1 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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