Xiaonan Kang

1.7k total citations · 1 hit paper
41 papers, 1.4k citations indexed

About

Xiaonan Kang is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Xiaonan Kang has authored 41 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 9 papers in Oncology and 9 papers in Cell Biology. Recurrent topics in Xiaonan Kang's work include Glycosylation and Glycoproteins Research (9 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Hepatitis B Virus Studies (4 papers). Xiaonan Kang is often cited by papers focused on Glycosylation and Glycoproteins Research (9 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Hepatitis B Virus Studies (4 papers). Xiaonan Kang collaborates with scholars based in China, United Kingdom and Japan. Xiaonan Kang's co-authors include Yinkun Liu, Éric Lichtfouse, Chuanyi Wang, Lan Wang, Lu Sun, Chun Sun, Kun Guo, Shu Zhang, Yan Li and Dongmei Gao and has published in prestigious journals such as PLoS ONE, Annals of Oncology and Archives of Biochemistry and Biophysics.

In The Last Decade

Xiaonan Kang

40 papers receiving 1.4k citations

Hit Papers

Clay mineral adsorbents for heavy metal removal from wast... 2018 2026 2020 2023 2018 100 200 300 400
What are hit papers?

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.

  1. Clay mineral adsorbents for heavy metal removal from wastewater: a review
    2018 411 citations Xiaonan Kang et al. profile →

Peers

Xiaonan Kang
Rong Liao China
Jia He China
Yaping Yu Canada
Li Su China
Fu‐An Li Taiwan
Xiangxiang Zhou China
Yihao Li China
Danrong Li China
Rong Liao China
Xiaonan Kang
Citations per year, relative to Xiaonan Kang Xiaonan Kang (= 1×) peers Rong Liao

Countries citing papers authored by Xiaonan Kang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaonan Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaonan Kang

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

All Works

20 of 20 papers shown
1.
Bai, Y., Can Jin, Yu Jin, et al.. (2024). 77P Efficacy and safety of iparomlimab and tuvonralimab (QL1706) in untreated metastatic colorectal cancer (mCRC). Annals of Oncology. 35. S1434–S1434. 1 indexed citations
2.
3.
Li, Shan, Cuiju Mo, Qiliu Peng, et al.. (2013). Cell Surface Glycan Alterations in Epithelial Mesenchymal Transition Process of Huh7 Hepatocellular Carcinoma Cell. PLoS ONE. 8(8). e71273–e71273. 52 indexed citations
4.
Sun, Chun, Lu Sun, Yan Li, et al.. (2013). Sox2 expression predicts poor survival of hepatocellular carcinoma patients and it promotes liver cancer cell invasion by activating Slug. Medical Oncology. 30(2). 503–503. 97 indexed citations
5.
Zhang, Shu, Xiaohui Liu, Xiaonan Kang, et al.. (2012). iTRAQ plus 18O: A new technique for target glycoprotein analysis. Talanta. 91. 122–127. 25 indexed citations
6.
Sun, Chun, Pei Chen, Lu Sun, et al.. (2012). Serum paraoxonase 1 heteroplasmon, a fucosylated, and sialylated glycoprotein in distinguishing early hepatocellular carcinoma from liver cirrhosis patients. Acta Biochimica et Biophysica Sinica. 44(9). 765–773. 28 indexed citations
7.
Zhang, Shu, Hong Shu, Kaixuan Luo, et al.. (2011). N -linked glycan changes of serum haptoglobin β chain in liver disease patients. Molecular BioSystems. 7(5). 1621–1628. 49 indexed citations
8.
Wang, Cun, Kun Guo, Dongmei Gao, et al.. (2011). Identification of transaldolase as a novel serum biomarker for hepatocellular carcinoma metastasis using xenografted mouse model and clinic samples. Cancer Letters. 313(2). 154–166. 40 indexed citations
9.
Kang, Xiaonan, Nian Wang, Pei Chen, et al.. (2011). Glycan-related gene expression signatures in human metastatic hepatocellular carcinoma cells. Experimental and Therapeutic Medicine. 3(3). 415–422. 30 indexed citations
10.
Shu, Hong, Shu Zhang, Xiaonan Kang, et al.. (2011). Protein expression and fucosylated glycans of the serum haptoglobin-β subunit in hepatitis B virus-based liver diseases. Acta Biochimica et Biophysica Sinica. 43(7). 528–534. 24 indexed citations
11.
Kang, Xiaonan, Lu Sun, Kun Guo, et al.. (2010). Serum protein biomarkers screening in HCC patients with liver cirrhosis by ICAT-LC-MS/MS. Journal of Cancer Research and Clinical Oncology. 136(8). 1151–1159. 40 indexed citations
12.
Liu, Binbin, Dan Zheng, Yinkun Liu, et al.. (2010). Array-based profiling of the differential methylation status of CpG islands in hepatocellular carcinoma cell lines. Oncology Letters. 1(5). 815–820. 3 indexed citations
13.
Tang, Jianhua, Jiefeng Cui, Rongxin Chen, et al.. (2010). A three-dimensional cell biology model of human hepatocellular carcinoma in vitro. Tumor Biology. 32(3). 469–479. 25 indexed citations
14.
Li, Xuefei, Yán Li, Xiaonan Kang, et al.. (2010). Dynamic alteration of protein expression profiles during neoplastic transformation of rat hepatic oval‐like cells. Cancer Science. 101(5). 1099–1107. 8 indexed citations
15.
Zheng, Dan, Binbin Liu, Yinkun Liu, et al.. (2009). [Analysis of the expression of Slit/Robo genes and the methylation status of their promoters in the hepatocellular carcinoma cell lines].. PubMed. 17(3). 198–202. 5 indexed citations
16.
Li, Yan, Xiaonan Kang, Kun Guo, et al.. (2009). Proteome alteration of early‐stage differentiation of mouse embryonic stem cells into hepatocyte‐like cells. Electrophoresis. 30(9). 1431–1440. 8 indexed citations
17.
Sun, Qiangling, Xiaonan Kang, Yang Zhang, et al.. (2009). DSA affinity glycoproteome of human liver tissue. Archives of Biochemistry and Biophysics. 484(1). 24–29. 10 indexed citations
18.
Cui, Jiefeng, Yinkun Liu, Haijun Zhou, et al.. (2008). Screening serum hepatocellular carcinoma-associated proteins by SELDI-based protein spectrum analysis. World Journal of Gastroenterology. 14(8). 1257–1257. 13 indexed citations
19.
Guo, Kun, Yan Li, Xiaonan Kang, et al.. (2008). Role of PKCβ in hepatocellular carcinoma cells migration and invasion in vitro: a potential therapeutic target. Clinical & Experimental Metastasis. 26(3). 189–195. 12 indexed citations
20.

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.

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