Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Molecular cloning of APRF, a novel IFN-stimulated gene factor 3 p91-related transcription factor involved in the gp130-mediated signaling pathway
1994868 citationsShizuo Akira, Yukihiro Nishio et al.Cellprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Shi We'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 Shi We with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shi We more than expected).
This network shows the impact of papers produced by Shi We. 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 Shi We. The network helps show where Shi We may publish in the future.
Co-authorship network of co-authors of Shi We
This figure shows the co-authorship network connecting the top 25 collaborators of Shi We.
A scholar is included among the top collaborators of Shi We 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 Shi We. Shi We is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
We, Shi. (2016). Pricing of the Looking Back-reset Option with Barrier.
5.
We, Shi. (2015). Study on predicting movie box office based on sentiment analysis of micro-blog.
6.
We, Shi. (2015). HPLC-ELSD Method for Determination Liuwei Dihuang Capsules Ursolic Acid and Oleanolic Acid.2 indexed citations
7.
We, Shi. (2014). A Study on the Impact of Corporate Social Responsibility Behavior on Customer Citizenship Behavior. Huadong jingji guanli.1 indexed citations
8.
We, Shi. (2014). Antibiotic resistance and molecular epidemiology of serogroup 6 Streptococcus pneumoniae isolated from children in Beijing Children's Hospital,China.1 indexed citations
9.
We, Shi. (2014). Team Product Research Based on CR-Social Preferences Model. Economic Survey.1 indexed citations
10.
We, Shi. (2014). Separation and purification of immunoglobulin IgY with hydrophobic charge-induction expanded bed adsorption. Huagong xuebao.3 indexed citations
11.
We, Shi. (2013). Prediction of potential distribution of Chinese fir in Guizhou next 70 years and ecological countermeasures. Zhongnan Linye Keji Daxue xuebao.
12.
We, Shi. (2012). The analysis of 327 inter hospital psychiatric consultation patients in general hospital.
13.
We, Shi. (2009). Initial analysis on variance data volume in the three-dimensional earthquake exploration. Shanxi Architecture.1 indexed citations
14.
We, Shi. (2009). A Review of Research about Self-affirmation.1 indexed citations
15.
Akira, Shizuo, Yukihiro Nishio, Masahiro Inoue, et al.. (1994). Molecular cloning of APRF, a novel IFN-stimulated gene factor 3 p91-related transcription factor involved in the gp130-mediated signaling pathway. Cell. 77(1). 63–71.868 indexed citations breakdown →
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.