Cuiying Chitty Chen

544 total citations
9 papers, 425 citations indexed

About

Cuiying Chitty Chen is a scholar working on Molecular Biology, Organic Chemistry and Epidemiology. According to data from OpenAlex, Cuiying Chitty Chen has authored 9 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Organic Chemistry and 3 papers in Epidemiology. Recurrent topics in Cuiying Chitty Chen's work include Glycosylation and Glycoproteins Research (9 papers), Galectins and Cancer Biology (3 papers) and Carbohydrate Chemistry and Synthesis (3 papers). Cuiying Chitty Chen is often cited by papers focused on Glycosylation and Glycoproteins Research (9 papers), Galectins and Cancer Biology (3 papers) and Carbohydrate Chemistry and Synthesis (3 papers). Cuiying Chitty Chen collaborates with scholars based in Belgium, China and Netherlands. Cuiying Chitty Chen's co-authors include Valerie Vanhooren, Claudio Franceschi, Fabio Dall’Olio, P. Eline Slagboom, Manfred Wuhrer, Sylviane Dewaele, Claude Libert, Peter Paul De Deyn, Sebastiaan Engelborghs and Olivier Toussaint and has published in prestigious journals such as Hepatology, Molecular Cancer and Ageing Research Reviews.

In The Last Decade

Cuiying Chitty Chen

9 papers receiving 422 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Cuiying Chitty Chen Belgium	7	311	131	80	67	57	9	425
Lucija Klarić United Kingdom	14	344 1.1×	148 1.1×	118 1.5×	115 1.7×	36 0.6×	26	498
Vincenzo Borelli Italy	6	196 0.6×	83 0.6×	30 0.4×	57 0.9×	107 1.9×	6	369
Stefan Graw United States	13	438 1.4×	80 0.6×	13 0.2×	61 0.9×	41 0.7×	21	620
C. Ronin France	15	285 0.9×	44 0.3×	66 0.8×	44 0.7×	52 0.9×	30	731
Gary L. Sanford United States	10	226 0.7×	178 1.4×	18 0.2×	56 0.8×	66 1.2×	17	510
Luc Garrigues France	11	374 1.2×	36 0.3×	59 0.7×	42 0.6×	24 0.4×	12	542
Irene J. Chang United States	12	278 0.9×	155 1.2×	9 0.1×	80 1.2×	71 1.2×	36	728
Hyoung–Joo Lee South Korea	14	278 0.9×	36 0.3×	18 0.2×	14 0.2×	17 0.3×	23	402
Kelly A. Kaihara United States	13	381 1.2×	53 0.4×	18 0.2×	68 1.0×	54 0.9×	16	652
Yayoi Nomura Japan	8	212 0.7×	55 0.4×	68 0.8×	13 0.2×	10 0.2×	14	421

Countries citing papers authored by Cuiying Chitty Chen

Since Specialization

Citations

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

Fields of papers citing papers by Cuiying Chitty Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cuiying Chitty Chen. 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 Cuiying Chitty Chen. The network helps show where Cuiying Chitty Chen may publish in the future.

Co-authorship network of co-authors of Cuiying Chitty Chen

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

All Works

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9 of 9 papers shown

Su, Rui, Xuemei Tao, Cuiying Chitty Chen, et al.. (2025). Early screening, diagnosis and recurrence monitoring of hepatocellular carcinoma in patients with chronic hepatitis B based on serum N-glycomics analysis: A cohort study. Hepatology. 83(1). 40–56. 2 indexed citations

Wang, Ling, Valerie Vanhooren, Sylviane Dewaele, et al.. (2012). Alteration of liver N-glycome in patients with hepatocellular carcinoma. Open Journal of Gastroenterology. 2(1). 1–8. 4 indexed citations

Bartling, Babett, Valerie Vanhooren, Sylviane Dewaele, et al.. (2012). Altered desialylated plasma N-glycan profile in patients with non-small cell lung carcinoma. Cancer Biomarkers. 10(3-4). 145–154. 8 indexed citations

Dall’Olio, Fabio, Valerie Vanhooren, Cuiying Chitty Chen, et al.. (2012). N-glycomic biomarkers of biological aging and longevity: A link with inflammaging. Ageing Research Reviews. 12(2). 685–698. 173 indexed citations

Ding, Ning, Huan Nie, Xuemei Sun, et al.. (2011). Human serum N-glycan profiles are age and sex dependent. Age and Ageing. 40(5). 568–575. 74 indexed citations

Vanhooren, Valerie, Sylviane Dewaele, Claude Libert, et al.. (2010). Serum N-glycan profile shift during human ageing. Experimental Gerontology. 45(10). 738–743. 94 indexed citations

Fang, Meng, Sylviane Dewaele, Yunpeng Zhao, et al.. (2010). Serum N-glycome biomarker for monitoring development of DENA-induced hepatocellular carcinoma in rat. Molecular Cancer. 9(1). 215–215. 26 indexed citations

Liu, Xueen, Sylviane Dewaele, Valerie Vanhooren, et al.. (2010). Alteration of N-glycome in diethylnitrosamine-induced hepatocellular carcinoma mice: a non-invasive monitoring tool for liver cancer. Liver International. 30(8). 1221–1228. 15 indexed citations

Chen, Cuiying Chitty, Sebastiaan Engelborghs, Sylviane Dewaele, et al.. (2010). Altered Serum Glycomics in Alzheimer Disease: A Potential Blood Biomarker?. Rejuvenation Research. 13(4). 439–444. 29 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.

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