Jia Bi

848 total citations
17 papers, 532 citations indexed

About

Jia Bi is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jia Bi has authored 17 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jia Bi's work include RNA modifications and cancer (5 papers), Ferroptosis and cancer prognosis (5 papers) and Cancer-related molecular mechanisms research (4 papers). Jia Bi is often cited by papers focused on RNA modifications and cancer (5 papers), Ferroptosis and cancer prognosis (5 papers) and Cancer-related molecular mechanisms research (4 papers). Jia Bi collaborates with scholars based in China, United States and Singapore. Jia Bi's co-authors include Minjie Wei, Lin Zhao, Longyang Jiang, Qian Wei, Miao He, Qiutong Guan, Xinyue Song, Mingyi Ju, Zhaojin Yu and Liwen Zhang and has published in prestigious journals such as Frontiers in Immunology, Advanced Science and Journal of Cellular Physiology.

In The Last Decade

Jia Bi

17 papers receiving 529 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 Bi China 12 359 267 139 126 109 17 532
Christine Southgate United Kingdom 4 295 0.8× 185 0.7× 184 1.3× 136 1.1× 106 1.0× 4 511
Sishun Gan China 17 370 1.0× 212 0.8× 144 1.0× 167 1.3× 75 0.7× 29 550
Yi‐Qun Che China 13 311 0.9× 281 1.1× 125 0.9× 53 0.4× 61 0.6× 34 519
Zaoke He China 7 197 0.5× 202 0.8× 299 2.2× 199 1.6× 150 1.4× 8 545
Taichi Isobe Japan 12 325 0.9× 209 0.8× 186 1.3× 51 0.4× 57 0.5× 34 490
Rico D. Bense Netherlands 8 177 0.5× 141 0.5× 298 2.1× 166 1.3× 153 1.4× 9 508
Takumi Yamaura Japan 13 200 0.6× 172 0.6× 329 2.4× 215 1.7× 156 1.4× 38 603
Guoqi Song China 15 358 1.0× 257 1.0× 75 0.5× 28 0.2× 77 0.7× 30 523
Abha Soni United States 10 134 0.4× 107 0.4× 290 2.1× 139 1.1× 134 1.2× 23 519
Betül T. Yesilyurt Belgium 8 184 0.5× 140 0.5× 194 1.4× 89 0.7× 57 0.5× 9 452

Countries citing papers authored by Jia Bi

Since Specialization
Citations

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

Fields of papers citing papers by Jia Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jia Bi

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

All Works

17 of 17 papers shown
1.
Ju, Mingyi, Weiwei Tong, Jia Bi, et al.. (2025). Hydrogen Sulfide Promotes TAM‐M1 Polarization through Activating IRE‐1α Pathway via GRP78 S‐Sulfhydrylation to against Breast Cancer. Advanced Science. 12(8). e2413607–e2413607. 3 indexed citations
2.
Ju, Mingyi, Jingyi Fan, Longyang Jiang, et al.. (2022). Computational Recognition of a Regulatory T-cell-specific Signature With Potential Implications in Prognosis, Immunotherapy, and Therapeutic Resistance of Prostate Cancer. Frontiers in Immunology. 13. 807840–807840. 7 indexed citations
3.
Ju, Mingyi, Yinfeng Liu, Jia Bi, et al.. (2021). Development of a Novel Prognostic Signature Based on Antigen Processing and Presentation in Patients with Breast Cancer. Pathology & Oncology Research. 27. 600727–600727. 5 indexed citations
4.
Ju, Mingyi, Jia Bi, Qian Wei, et al.. (2020). Pan-cancer analysis of NLRP3 inflammasome with potential implications in prognosis and immunotherapy in human cancer. Briefings in Bioinformatics. 22(4). 118 indexed citations
5.
Ju, Mingyi, Jia Bi, Lan Zhao, et al.. (2020). A five‐mRNA signature associated with post‐translational modifications can better predict recurrence and survival in cervical cancer. Journal of Cellular and Molecular Medicine. 24(11). 6283–6297. 14 indexed citations
6.
Zhao, Yanyun, Zhaojin Yu, Yifan Zhang, et al.. (2020). lncRNA-Xist/miR-101-3p/KLF6/C/EBPα axis promotes TAM polarization to regulate cancer cell proliferation and migration. Molecular Therapy — Nucleic Acids. 23. 536–551. 105 indexed citations
7.
Wang, Lin, Jia Bi, Xueping Li, et al.. (2020). Prognostic alternative splicing signature reveals the landscape of immune infiltration in Pancreatic Cancer. Journal of Cancer. 11(22). 6530–6544. 11 indexed citations
8.
Yu, Lifeng, Xinyue Song, Jia Bi, et al.. (2019). Intrinsic adriamycin resistance in p53-mutated breast cancer is related to the miR-30c/FANCF/REV1-mediated DNA damage response. Cell Death and Disease. 10(9). 666–666. 22 indexed citations
9.
Zhu, Wenjing, Miao He, Liwen Zhang, et al.. (2019). SNORD89 promotes stemness phenotype of ovarian cancer cells by regulating Notch1-c-Myc pathway. Journal of Translational Medicine. 17(1). 259–259. 46 indexed citations
10.
Jiang, Longyang, Jia Bi, Qiutong Guan, et al.. (2019). Glycolysis gene expression profilings screen for prognostic risk signature of hepatocellular carcinoma. Aging. 11(23). 10861–10882. 49 indexed citations
11.
Jiang, Longyang, Qian Wei, Jia Bi, et al.. (2018). Identification of a novel cell cycle‐related gene signature predicting survival in patients with gastric cancer. Journal of Cellular Physiology. 234(5). 6350–6360. 58 indexed citations
12.
Song, Xinyue, Chaoran Zhao, Longyang Jiang, et al.. (2018). High PITX1 expression in lung adenocarcinoma patients is associated with DNA methylation and poor prognosis. Pathology - Research and Practice. 214(12). 2046–2053. 24 indexed citations
13.
Yu, Lifeng, Lin Zhao, Jia Bi, et al.. (2018). MFG-E8 overexpression is associated with poor prognosis in breast cancer patients. Pathology - Research and Practice. 215(3). 490–498. 10 indexed citations
14.
Wei, Qian, Lin Zhao, Longyang Jiang, et al.. (2018). Prognostic relevance of miR‐137 and its liver microenvironment regulatory target gene AFM in hepatocellular carcinoma. Journal of Cellular Physiology. 234(7). 11888–11899. 13 indexed citations
15.
Bi, Jia, Byron M. Espina, Anil Tulpule, William D. Boswell, & Alexandra M. Levine. (2001). High-Dose Cytosine–Arabinoside and Cisplatin Regimens as Salvage Therapy for Refractory or Relapsed AIDS-Related Non-Hodgkin's Lymphoma. JAIDS Journal of Acquired Immune Deficiency Syndromes. 28(5). 416–421. 29 indexed citations
16.
Bi, Jia, Byron M. Espina, Anil Tulpule, William D. Boswell, & Alexandra M. Levine. (2001). High-Dose Cytosine–Arabinoside and Cisplatin Regimens as Salvage Therapy for Refractory or Relapsed AIDS-Related Non-Hodgkin's Lymphoma. JAIDS Journal of Acquired Immune Deficiency Syndromes. 28(5). 416–421. 2 indexed citations
17.
Bi, Jia & Bo Lü. (2000). Advances in the diagnosis and management of thyroid neoplasms. Current Opinion in Oncology. 12(1). 54–59. 16 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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