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.
Catalytic Asymmetric Strategies for Bicyclo[1.1.0]butane Transformations: Advances and Applications
202527 citationsYuanjiu Xiao, Lei Tang et al.CCS Chemistryprofile →
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 Jian‐Jun Feng'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 Jian‐Jun Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jian‐Jun Feng more than expected).
This network shows the impact of papers produced by Jian‐Jun Feng. 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 Jian‐Jun Feng. The network helps show where Jian‐Jun Feng may publish in the future.
Co-authorship network of co-authors of Jian‐Jun Feng
This figure shows the co-authorship network connecting the top 25 collaborators of Jian‐Jun Feng.
A scholar is included among the top collaborators of Jian‐Jun Feng 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 Jian‐Jun Feng. Jian‐Jun Feng is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Chen, Jianfang, et al.. (2010). [The clinical significance of immune-related marker detection in idiopathic thrombocytopenic purpura].. PubMed. 49(9). 765–8.5 indexed citations
11.
Chen, Jianfang, et al.. (2010). [Significance of detection of anti-GPIIb/IIIa antibody secreting B cells and platelet-specific antibody in patients with idiopathic thrombocytopenic purpura].. PubMed. 31(9). 603–6.7 indexed citations
Feng, Jian‐Jun, et al.. (1995). Effects of mebendazole, albendazole, and praziquantel on glutathione S-transferase and superoxide dismutase of Echinococcus granulosus cyst wall harbored in mice.. PubMed. 16(4). 297–300.11 indexed citations
16.
Xiao, Shu-Hua, et al.. (1994). Effects of mebendazole, albendazole, and praziquantel on fumarate hydratase, pyruvate kinase, and phosphoenolpyruvate carboxykinase of Echinococcus granulosus cyst wall harbored in mice.. PubMed. 15(1). 69–72.12 indexed citations
17.
Xiao, Shu-Hua, et al.. (1994). Effect of mebendazole on free amino acid composition of cyst wall and cyst fluid of Echinococcus granulosus harbored in mice.. PubMed. 15(6). 521–4.2 indexed citations
18.
Xiao, Shu-Hua, et al.. (1993). Effects of mebendazole, albendazole, and praziquantel on succinate dehydrogenase, fumarate reductase, and malate dehydrogenase in Echinococcus granulosus cysts harbored in mice.. PubMed. 14(2). 151–4.8 indexed citations
19.
Feng, Jian‐Jun, et al.. (1992). Effects of mebendazole, albendazole, and praziquantel on alkaline phosphatase, acid phosphatase, and adenosine triphosphatase of Echinococcus granulosus cysts harbored in mice.. PubMed. 13(6). 497–501.7 indexed citations
20.
Xiao, Shu-Hua, et al.. (1992). [Effect of mebendazole on glucose uptake of Echinococcus granulosus cysts].. PubMed. 13(5). 473–7.1 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.