Liqi Bi

571 total citations
9 papers, 252 citations indexed

About

Liqi Bi is a scholar working on Molecular Biology, Cancer Research and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Liqi Bi has authored 9 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Liqi Bi's work include Microbial Inactivation Methods (2 papers), Cancer-related molecular mechanisms research (2 papers) and Cancer Genomics and Diagnostics (2 papers). Liqi Bi is often cited by papers focused on Microbial Inactivation Methods (2 papers), Cancer-related molecular mechanisms research (2 papers) and Cancer Genomics and Diagnostics (2 papers). Liqi Bi collaborates with scholars based in China. Liqi Bi's co-authors include Jialong Guo, Zhe Li, Feng Zhao, Wenlong Zhang, Wanning Wang, Jiannan Li, Yongqiang Hao, Jibing Chen, Yanan Ma and Feng Zhao and has published in prestigious journals such as PLoS ONE, International Journal of Cancer and Frontiers in Immunology.

In The Last Decade

Liqi Bi

8 papers receiving 249 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Liqi Bi China	5	182	79	44	35	30	9	252
Sonia Karabina France	9	160 0.9×	107 1.4×	48 1.1×	17 0.5×	25 0.8×	16	243
Gülay Güleç Ceylan Türkiye	9	149 0.8×	43 0.5×	26 0.6×	11 0.3×	19 0.6×	34	268
Congcong Yin United States	10	144 0.8×	102 1.3×	20 0.5×	64 1.8×	63 2.1×	22	303
Deborah Lavin United Kingdom	7	120 0.7×	32 0.4×	13 0.3×	29 0.8×	27 0.9×	12	229
Yanhong Bu China	13	249 1.4×	80 1.0×	64 1.5×	57 1.6×	8 0.3×	26	377
Wanjun Shen China	10	118 0.6×	89 1.1×	34 0.8×	33 0.9×	72 2.4×	28	314
Zurong Fu China	7	248 1.4×	74 0.9×	13 0.3×	71 2.0×	16 0.5×	8	389
Nicholas J. Tardi United States	8	171 0.9×	65 0.8×	14 0.3×	64 1.8×	138 4.6×	10	341
Mathias Drach Austria	11	144 0.8×	141 1.8×	19 0.4×	26 0.7×	10 0.3×	18	344
Hidetake Nagahara Japan	10	123 0.7×	170 2.2×	56 1.3×	16 0.5×	10 0.3×	17	350

Countries citing papers authored by Liqi Bi

Since Specialization

Citations

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

Fields of papers citing papers by Liqi Bi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liqi Bi

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Wang, Kai, Jun Xiang, Zhoufeng Wang, et al.. (2025). Development and validation of a transcription factor regulatory network‐based signature for individualized prognostic risk in lung adenocarcinoma. International Journal of Cancer. 156(12). 2440–2451.

2.

Li, Jiayi, et al.. (2025). Non-invasive identification of TKI-resistant NSCLC: a multi-model AI approach for predicting EGFR/TP53 co-mutations. BMC Pulmonary Medicine. 25(1). 336–336. 1 indexed citations

3.

Zhao, Feng, et al.. (2023). The transient receptor potential channels in rheumatoid arthritis: Need to pay more attention. Frontiers in Immunology. 14. 1127277–1127277. 4 indexed citations

4.

Ma, Yanan, Yongqiang Hao, & Liqi Bi. (2023). [Association of circulating levels of soluble PD-1, PD-1 gene polymorphisms with HBV infection and HBV infection-associated hepatocellular carcinoma].. PubMed. 57(6). 863–867. 2 indexed citations

5.

Li, Zhe, Jialong Guo, & Liqi Bi. (2020). Role of the NLRP3 inflammasome in autoimmune diseases. Biomedicine & Pharmacotherapy. 130. 110542–110542. 202 indexed citations

6.

Zhao, Feng, et al.. (2020). Inhibiting role of long non-coding RNA LINC01197 in inflammation in rheumatoid arthritis through the microRNA-150/THBS2 axis. Experimental Cell Research. 394(2). 112136–112136. 27 indexed citations

7.

Zhang, Wenlong, Wanning Wang, Yanxia Sun, & Liqi Bi. (2018). Screening crucial genes involved in triple-negative breast cancer through bioinformatics analysis of microarray data. European Journal of Gynaecological Oncology. 39(1). 101–107. 1 indexed citations

8.

Zhang, Wenlong, Wanning Wang, Xiaomei Luo, et al.. (2017). Breast tissue ablation with irreversible electroporation in rabbits: A safety and feasibility study. PLoS ONE. 12(7). e0181555–e0181555. 11 indexed citations

9.

Zhang, Wenlong, et al.. (2017). Irreversible electroporation for the treatment of rabbit VX2 breast cancer. Biomedical Microdevices. 19(2). 29–29. 4 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.

Explore authors with similar magnitude of impact