Yiqian Wu

1.4k total citations · 1 hit paper
6 papers, 1.1k citations indexed

About

Yiqian Wu is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Yiqian Wu has authored 6 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Genetics. Recurrent topics in Yiqian Wu's work include Genetic Syndromes and Imprinting (3 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Genetic factors in colorectal cancer (2 papers). Yiqian Wu is often cited by papers focused on Genetic Syndromes and Imprinting (3 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Genetic factors in colorectal cancer (2 papers). Yiqian Wu collaborates with scholars based in United States, China and India. Yiqian Wu's co-authors include Hengmi Cui, Sheri A. Brandenburg, Andrew P. Feinberg, Francis M. Giardiello, David F. Hutcheon, Marcia Cruz‐Correa, Neil R. Powe, David R. Kafonek, Xiaobing He and Patrick Onyango and has published in prestigious journals such as Science, Gastroenterology and Hepatoma Research.

In The Last Decade

Yiqian Wu

6 papers receiving 1.0k citations

Hit Papers

align trajectories

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.

Loss of IGF2 Imprinting: A Potential Marker of Colorectal Cancer Risk

2003 551 citations Hengmi Cui, Marcia Cruz‐Correa et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yiqian Wu United States	5	835	456	232	179	137	6	1.1k
S E Rowell United States	6	536 0.6×	626 1.4×	123 0.5×	43 0.2×	92 0.7×	8	904
Monica Barile Italy	16	359 0.4×	427 0.9×	184 0.8×	24 0.1×	219 1.6×	26	794
Ryan A. Hlady United States	19	601 0.7×	93 0.2×	202 0.9×	63 0.4×	75 0.5×	31	810
Seong‐Keun Yoo South Korea	16	304 0.4×	201 0.4×	108 0.5×	57 0.3×	266 1.9×	27	895
Christian Daviaud France	13	420 0.5×	90 0.2×	210 0.9×	109 0.6×	84 0.6×	20	698
Agnès Hardouin France	13	392 0.5×	333 0.7×	136 0.6×	31 0.2×	218 1.6×	25	778
Izabela Łaczmańska Poland	13	380 0.5×	119 0.3×	168 0.7×	35 0.2×	108 0.8×	64	589
Kerstin Rhiem Germany	15	258 0.3×	572 1.3×	312 1.3×	52 0.3×	184 1.3×	28	786
Elizabeth Pang Hong Kong	13	381 0.5×	194 0.4×	206 0.9×	22 0.1×	229 1.7×	24	740
Michael D. Badzioch United States	20	280 0.3×	559 1.2×	212 0.9×	14 0.1×	181 1.3×	28	913

Countries citing papers authored by Yiqian Wu

Since Specialization

Citations

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

Fields of papers citing papers by Yiqian Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiqian Wu

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

All Works

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6 of 6 papers shown

1.

Chen, Taoyang, Gengsun Qian, Chunsun Fan, et al.. (2018). Qidong hepatitis B virus infection cohort: a 25-year prospective study in high risk area of primary liver cancer. Hepatoma Research. 4(1). 4–4. 14 indexed citations

2.

Cruz‐Correa, Marcia, Hengmi Cui, Francis M. Giardiello, et al.. (2004). Loss of imprinting of insulin growth factor II gene: a potential heritable biomarker for colon neoplasia predisposition☆. Gastroenterology. 126(4). 964–970. 95 indexed citations

3.

Cui, Hengmi, Marcia Cruz‐Correa, Francis M. Giardiello, et al.. (2003). Loss of IGF2 Imprinting: A Potential Marker of Colorectal Cancer Risk. Science. 299(5613). 1753–1755. 551 indexed citations breakdown →

4.

Wu, Yiqian, et al.. (2003). Correlation between the genetic polymorphism of EPHX and susceptibility to hepatocellular carcinoma. Tumori. 4 indexed citations

5.

Cui, Hengmi, Patrick Onyango, Sheri A. Brandenburg, et al.. (2002). Loss of imprinting in colorectal cancer linked to hypomethylation of H19 and IGF2.. PubMed. 62(22). 6442–6. 310 indexed citations

6.

Jackson, Peta E., Geng Qian, Marlin D. Friesen, et al.. (2001). Specific p53 mutations detected in plasma and tumors of hepatocellular carcinoma patients by electrospray ionization mass spectrometry.. PubMed. 61(1). 33–5. 82 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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