Jia Bian

405 total citations
12 papers, 276 citations indexed

About

Jia Bian is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jia Bian has authored 12 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Cancer Research and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jia Bian's work include Cancer-related molecular mechanisms research (3 papers), Advanced Breast Cancer Therapies (2 papers) and Gold and Silver Nanoparticles Synthesis and Applications (2 papers). Jia Bian is often cited by papers focused on Cancer-related molecular mechanisms research (3 papers), Advanced Breast Cancer Therapies (2 papers) and Gold and Silver Nanoparticles Synthesis and Applications (2 papers). Jia Bian collaborates with scholars based in China, Australia and United Kingdom. Jia Bian's co-authors include Chunhua Wan, Ron Firestein, Marius Dannappel, Sylvia Mahara, Danxi Zhu, Dakang Xu, H. Chua, Yue Li, Tomasz Cierpicki and Jolanta Grembecka and has published in prestigious journals such as Science Advances, Medicine and Journal of Molecular Liquids.

In The Last Decade

Jia Bian

10 papers receiving 274 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jia Bian China 7 174 74 69 38 36 12 276
Zining Jin China 11 186 1.1× 136 1.8× 74 1.1× 28 0.7× 61 1.7× 28 309
María Rodríguez‐Remírez Spain 11 139 0.8× 72 1.0× 116 1.7× 50 1.3× 36 1.0× 19 280
Linlin Mao China 10 122 0.7× 62 0.8× 79 1.1× 20 0.5× 41 1.1× 27 228
Mingdian Lu China 9 198 1.1× 101 1.4× 45 0.7× 20 0.5× 50 1.4× 15 271
Binbin Cui China 12 197 1.1× 123 1.7× 87 1.3× 28 0.7× 56 1.6× 20 340
Faying Xu China 4 289 1.7× 115 1.6× 105 1.5× 27 0.7× 41 1.1× 6 391
Orna Bacon Ireland 6 152 0.9× 56 0.8× 72 1.0× 24 0.6× 22 0.6× 8 240
Kyunghee Burkitt United States 10 227 1.3× 94 1.3× 102 1.5× 15 0.4× 36 1.0× 17 320
Fabio De Martino Switzerland 8 136 0.8× 104 1.4× 94 1.4× 27 0.7× 26 0.7× 12 305
Miljana Nenkov Germany 10 171 1.0× 125 1.7× 64 0.9× 17 0.4× 53 1.5× 12 267

Countries citing papers authored by Jia Bian

Since Specialization
Citations

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

Fields of papers citing papers by Jia Bian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jia Bian

This figure shows the co-authorship network connecting the top 25 collaborators of Jia Bian. A scholar is included among the top collaborators of Jia Bian 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 Bian. Jia Bian 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.
2.
Bian, Jia, et al.. (2025). SERS detection of pelvic infection-related pathogenic bacteria based on flexible PDMS-MXene@MOF@Ag ternary substrate. Microchemical Journal. 210. 113021–113021. 7 indexed citations
3.
Li, Hongfeng, Jia Bian, Minjie Liu, et al.. (2025). LINC02418 suppresses endometrial cancer progression via regulating miR-494-3p/RASGRF1 axis. Journal of Molecular Histology. 56(1). 72–72.
4.
Li, Hongfeng, et al.. (2021). Exploring Prognosis-Associated Biomarkers of Estrogen-Independent Uterine Corpus Endometrial Carcinoma by Bioinformatics Analysis. International Journal of General Medicine. Volume 14. 9067–9081. 5 indexed citations
5.
Wan, Chunhua, Sylvia Mahara, Anh Doan, et al.. (2021). Genome-scale CRISPR-Cas9 screen of Wnt/β-catenin signaling identifies therapeutic targets for colorectal cancer. Science Advances. 7(21). 40 indexed citations
6.
Bian, Jia, et al.. (2020). <p>Combination Strategies of Checkpoint Immunotherapy in Metastatic Breast Cancer</p>. OncoTargets and Therapy. Volume 13. 2657–2666. 10 indexed citations
8.
Bian, Jia, Marius Dannappel, Chunhua Wan, & Ron Firestein. (2020). Transcriptional Regulation of Wnt/β-Catenin Pathway in Colorectal Cancer. Cells. 9(9). 2125–2125. 175 indexed citations
9.
Bian, Jia, et al.. (2020). Identification of a five‑gene signature for predicting the progression and prognosis of stage I endometrial carcinoma. Oncology Letters. 20(3). 2396–2410. 9 indexed citations
10.
Wang, Hongxia, Jia Bian, Yan Feng, et al.. (2018). Changes in background parenchymal enhancement in HER2-positive breast cancer before and after neoadjuvant chemotherapy. Medicine. 97(43). e12965–e12965. 14 indexed citations
11.
Li, Quan, et al.. (2017). Demonstrating Microstructural Environment of the Brain in Neonatal Bilirubin Encephalopathy with Diffusion Kurtosis Imaging. Iranian Journal of Radiology. In press(In press). 2 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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