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.
Why Lake Taihu continues to be plagued with cyanobacterial blooms through 10 years (2007–2017) efforts
2019323 citationsBoqiang Qin, Justin D. Brookes et al.profile →
Global loss of aquatic vegetation in lakes
2017317 citationsYunlin Zhang, Erik Jeppesen et al.profile →
Environmental controls on the conversion of nutrients to chlorophyll in lakes
202520 citationsRoohollah Noori, Dongkyun Kim et al.Water Researchprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Kun� Shi'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 Kun� Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun� Shi more than expected).
This network shows the impact of papers produced by Kun� Shi. 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 Kun� Shi. The network helps show where Kun� Shi may publish in the future.
Co-authorship network of co-authors of Kun� Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Kun� Shi.
A scholar is included among the top collaborators of Kun� Shi 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 Kun� Shi. Kun� Shi is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Noori, Roohollah, Dongkyun Kim, Changhyun Jun, et al.. (2025). Environmental controls on the conversion of nutrients to chlorophyll in lakes. Water Research. 274. 123094–123094.20 indexed citations breakdown →
Zhang, Yong, Liu L, Lei Zheng, et al.. (2020). Comparison of Effectiveness of Ropivacaine Infusion Regimens for Continuous Femoral Nerve Block for Recovery After Total Knee Arthroplasty: A Randomized Double-Blind Trial. SHILAP Revista de lepidopterología.
Qian, Jianqiang, Ning Xu, Kun� Shi, et al.. (2019). Low density lipoprotein mimic nanoparticles composed of amphipathic hybrid peptides and lipids for tumor-targeted delivery of paclitaxel. SHILAP Revista de lepidopterología.1 indexed citations
14.
Huang, Xuelin, Jin Zhu, Yongying Jiang, et al.. (2019). SU5416 attenuated lipopolysaccharide-induced acute lung injury in mice by modulating properties of vascular endothelial cells. SHILAP Revista de lepidopterología.1 indexed citations
Shi, Kun�, et al.. (2016). The clinicopathological significance of hMLH1 hypermethylation in non-small-cell lung cancer: a meta-analysis and literature review. SHILAP Revista de lepidopterología.1 indexed citations
17.
Zhang, Yibo, et al.. (2015). [Remote sensing estimation of total suspended matter concentration in Xin'anjiang Reservoir using Landsat 8 data].. PubMed. 36(1). 56–63.13 indexed citations
18.
Zhang, Yibo, et al.. (2015). [Estimation of Diffuse Attenuation Coefficient of Photosynthetically Active Radiation in Xin'anjiang Reservoir Based on Landsat 8 Data].. PubMed. 36(12). 4420–9.3 indexed citations
19.
Wang, Mingzhu, et al.. (2014). [Characteristics of optical absorption coefficients and their differences in typical seasons in Lake Qiandaohu].. PubMed. 35(7). 2528–38.2 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.