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.
Rheb is a direct target of the tuberous sclerosis tumour suppressor proteins
2003719 citationsYong Zhang, Xinsheng Gao et al.Nature Cell Biologyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Binggen Ru'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 Binggen Ru with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Binggen Ru more than expected).
This network shows the impact of papers produced by Binggen Ru. 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 Binggen Ru. The network helps show where Binggen Ru may publish in the future.
Co-authorship network of co-authors of Binggen Ru
This figure shows the co-authorship network connecting the top 25 collaborators of Binggen Ru.
A scholar is included among the top collaborators of Binggen Ru 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 Binggen Ru. Binggen Ru is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
He, Weiguo, et al.. (2003). Extraction and Isolation of the Anti-tumor Protein Components from Earthworm (Eisenia fetida andrei) and the Anti-tumor Activity. Zhongguo shengwu huaxue yu fenzi shengwu xuebao. 19(3). 359–366.2 indexed citations
7.
Zhang, Yong, Xinsheng Gao, Leslie Saucedo, et al.. (2003). Rheb is a direct target of the tuberous sclerosis tumour suppressor proteins. Nature Cell Biology. 5(6). 578–581.719 indexed citations breakdown →
8.
Ye, Ning, et al.. (2002). Expression of Mouse Metallothionein-I Gene in Synechococcus sp. PCC 7002 by Homologous Recombination. PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS. 29(1). 149–153.
9.
Zhang, Jing, et al.. (2002). Transformation of metallothionein gene into mushroom protoplasts by application of electroporation. Zhiwu xuebao. 44(12). 1445–1449.2 indexed citations
10.
Ji, Jianguo, et al.. (2002). Separation of Rabbit Liver Metallothionein Sub-isoforms by RP-HPLC with MALDI-TOF-MS Detection. Gaodeng xuexiao huaxue xuebao. 23(6). 1086–1090.3 indexed citations
11.
Zhang, Xiaoyu, et al.. (2001). Expression of Human Intestinal Trefoil Factor (hITF) Gene in Lettuce. Journal of Integrative Plant Biology. 43(10). 1047–1051.4 indexed citations
12.
Zhang, Jing, et al.. (2001). Pb tolerance and accumulation of Petunia transformed by metallothionein recombinant alphaalpha gene. PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS. 28(3). 405–409.1 indexed citations
Ru, Binggen. (1999). Chemico-physical Properties and Spectra of Recombinant Human Intestinal Trefoil Factor. Zhongguo shengwu huaxue yu fenzi shengwu xuebao.2 indexed citations
18.
Yang, Jia‐Shu, et al.. (1998). The enzymology properties and the CD spectra of the active centers of the small subunit of a plasminogen activator from Eisenia fetida (e-PA). Zhongguo shengwu huaxue yu fenzi shengwu xuebao. 14(6). 721–725.2 indexed citations
19.
Guo, Xiangxue, Dingji Shi, & Binggen Ru. (1996). Metallothionein and its studying trends in cyanobacterium. PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS. 23(3). 237–239.1 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.