Jiye Liu

1.4k total citations
37 papers, 577 citations indexed

About

Jiye Liu is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, Jiye Liu has authored 37 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 21 papers in Hematology and 11 papers in Immunology. Recurrent topics in Jiye Liu's work include Multiple Myeloma Research and Treatments (21 papers), Protein Degradation and Inhibitors (16 papers) and Peptidase Inhibition and Analysis (6 papers). Jiye Liu is often cited by papers focused on Multiple Myeloma Research and Treatments (21 papers), Protein Degradation and Inhibitors (16 papers) and Peptidase Inhibition and Analysis (6 papers). Jiye Liu collaborates with scholars based in United States, China and Japan. Jiye Liu's co-authors include Kenneth C. Anderson, Yu‐Tzu Tai, Teru Hideshima, Lijie Xing, Yong Cang, Keiji Kurata, Kenneth Wen, Feng Yan, Nikhil C. Munshi and Phillip A. Hsieh and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Blood.

In The Last Decade

Jiye Liu

35 papers receiving 575 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiye Liu United States 14 387 240 196 88 50 37 577
Lai Sum Leoh United States 11 267 0.7× 59 0.2× 103 0.5× 83 0.9× 61 1.2× 14 519
Marie Wehenkel United States 11 597 1.5× 132 0.6× 258 1.3× 144 1.6× 20 0.4× 20 806
Daqian Sun United States 14 499 1.3× 138 0.6× 200 1.0× 84 1.0× 9 0.2× 20 828
Kateřina Krejčíková Czechia 12 433 1.1× 41 0.2× 267 1.4× 150 1.7× 27 0.5× 12 743
Andrew P. Mone United States 9 324 0.8× 65 0.3× 110 0.6× 161 1.8× 69 1.4× 15 587
Susan Rhodes United Kingdom 9 241 0.6× 114 0.5× 71 0.4× 42 0.5× 30 0.6× 13 497
Huiling Han United States 10 362 0.9× 68 0.3× 72 0.4× 66 0.8× 59 1.2× 18 574
Madeline Wong United States 13 601 1.6× 53 0.2× 130 0.7× 63 0.7× 23 0.5× 20 817
May Ann Lee Singapore 15 595 1.5× 47 0.2× 239 1.2× 40 0.5× 7 0.1× 23 842
Lavona Casson United States 11 581 1.5× 38 0.2× 60 0.3× 44 0.5× 16 0.3× 14 690

Countries citing papers authored by Jiye Liu

Since Specialization
Citations

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

Fields of papers citing papers by Jiye Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiye Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Jiye Liu. A scholar is included among the top collaborators of Jiye Liu 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 Jiye Liu. Jiye Liu 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.
Liu, Wenyue, et al.. (2024). Biomimetic synthesis of RPL14B-based CdSe quantum dots for the detection of heavy metal copper ions. RSC Advances. 14(24). 16821–16827. 2 indexed citations
2.
Lu, Ke, et al.. (2024). Advancements in microenvironment-based therapies: transforming the landscape of multiple myeloma treatment. Frontiers in Oncology. 14. 1413494–1413494. 3 indexed citations
3.
Zhang, Fei, Le‐Tian Huang, Minglin Li, et al.. (2023). Effect of Pre-Operative Low Serum Pre-Albumin on Surgical Site Infection in Post-Surgery Subjects: A Systematic Review and Meta-Analysis. Surgical Infections. 24(8). 684–691. 2 indexed citations
4.
Xing, Lijie, et al.. (2023). Targeting BCMA in Multiple Myeloma: Advances in Antibody-Drug Conjugate Therapy. Cancers. 15(8). 2240–2240. 12 indexed citations
5.
Liu, Jiye, et al.. (2023). Prevalence of sarcopenia among patients with hepatocellular carcinoma: A systematic review and meta‑analysis. Oncology Letters. 26(1). 283–283. 6 indexed citations
6.
Kurata, Keiji, Mehmet Samur, Kenneth Wen, et al.. (2023). BRD9 Degradation Disrupts Ribosome Biogenesis in Multiple Myeloma. Clinical Cancer Research. 29(9). 1807–1821. 19 indexed citations
7.
Liu, Jiye, et al.. (2023). Trends in parthenolide research over the past two decades: A bibliometric analysis. Heliyon. 9(7). e17843–e17843. 5 indexed citations
8.
Dutta, Debasmita, Jiye Liu, Kenneth Wen, et al.. (2023). BCMA-targeted bortezomib nanotherapy improves therapeutic efficacy, overcomes resistance, and modulates the immune microenvironment in multiple myeloma. Blood Cancer Journal. 13(1). 184–184. 12 indexed citations
9.
Liu, Jiye, Lijie Xing, Teru Hideshima, et al.. (2022). Genome-Wide CRISPR-Cas9 Screen Identifies KDM6A As a Modulator of Daratumumab Sensitivity in Multiple Myeloma. Blood. 140(Supplement 1). 360–361. 1 indexed citations
10.
Xing, Lijie, Su Wang, Jiye Liu, et al.. (2021). BCMA-Specific ADC MEDI2228 and Daratumumab Induce Synergistic Myeloma Cytotoxicity via IFN-Driven Immune Responses and Enhanced CD38 Expression. Clinical Cancer Research. 27(19). 5376–5388. 22 indexed citations
11.
Hideshima, Teru, Jiye Liu, Takeshi Harada, et al.. (2020). Immunomodulatory drugs activate NK cells via both Zap-70 and cereblon-dependent pathways. Leukemia. 35(1). 177–188. 46 indexed citations
12.
Xing, Lijie, Liang Lin, Tengteng Yu, et al.. (2020). A novel BCMA PBD-ADC with ATM/ATR/WEE1 inhibitors or bortezomib induce synergistic lethality in multiple myeloma. Leukemia. 34(8). 2150–2162. 50 indexed citations
13.
Liu, Jiye, Tianyu Song, Lijie Xing, et al.. (2018). A genome-scale CRISPR-Cas9 screening in myeloma cells identifies regulators of immunomodulatory drug sensitivity. Leukemia. 33(1). 171–180. 65 indexed citations
14.
Song, Tianyu, Jiye Liu, Tingyue Zhang, et al.. (2018). CRL4 antagonizes SCFFbxo7-mediated turnover of cereblon and BK channel to regulate learning and memory. PLoS Genetics. 14(1). e1007165–e1007165. 26 indexed citations
15.
Liu, Jiye, et al.. (2018). JAK-STAT3 Pathway Regulates CD38 Expression on Multiple Myeloma Cells. Blood. 132(Supplement 1). 4440–4440.
16.
Ho, Matthew, Jiye Liu, Alireza Kalbasi, et al.. (2017). Blocking HDAC3 in Bone Marrow Stromal Cells Has Direct Anti-Multiple Myeloma Effect and Modulates T Cell Function. Blood. 130. 4429–4429. 2 indexed citations
17.
Lin, Liang, Lijie Xing, Chirag Acharya, et al.. (2017). CD8+ Anti-BCMA mRNA CAR T-Cells Effectively Kill Human Multiple Myeloma Cells In Vitro and In Vivo. Blood. 130. 3067–3067. 6 indexed citations
18.
Liu, Yufang, Fengchun Zhao, Jiye Liu, et al.. (2017). Selection of Cholesterol-Lowering Lactic Acid Bacteria and its Effects on Rats Fed with High-Cholesterol Diet. Current Microbiology. 74(5). 623–631. 21 indexed citations
19.
Zhao, Fengchun, Yuan Tian, Huimin Wang, et al.. (2016). Development of a biotinylated broad-specificity single-chain variable fragment antibody and a sensitive immunoassay for detection of organophosphorus pesticides. Analytical and Bioanalytical Chemistry. 408(23). 6423–6430. 29 indexed citations
20.
Liu, Jiye, Zhenghao Xu, Feng Yan, et al.. (2014). CRL4ACRBN E3 ubiquitin ligase restricts BK channel activity and prevents epileptogenesis. Nature Communications. 5(1). 3924–3924. 84 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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