Kangkang Wan

26 total papers · 469 total citations
15 papers, 264 citations indexed

About

Kangkang Wan is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Kangkang Wan has authored 15 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Pathology and Forensic Medicine and 3 papers in Oncology. Recurrent topics in Kangkang Wan's work include Epigenetics and DNA Methylation (7 papers), Genetic factors in colorectal cancer (3 papers) and Cancer Genomics and Diagnostics (3 papers). Kangkang Wan is often cited by papers focused on Epigenetics and DNA Methylation (7 papers), Genetic factors in colorectal cancer (3 papers) and Cancer Genomics and Diagnostics (3 papers). Kangkang Wan collaborates with scholars based in China and United States. Kangkang Wan's co-authors include Lanlan Dong, Chunmei Zhang, Jian Huang, Zhangjun Fei, Xiaoqing Sun, Zhong Zhang, Xing Zhao, Xiaoming Pang, Ruiqiang Li and Yang Bai and has published in prestigious journals such as Scientific Reports, PLoS Genetics and Frontiers in Oncology.

In The Last Decade

Kangkang Wan

13 papers receiving 256 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kangkang Wan 130 87 73 42 35 15 264
Lorena Leonardelli 191 1.5× 72 0.8× 48 0.7× 24 0.6× 14 0.4× 14 310
Lianwen Wang 77 0.6× 111 1.3× 10 0.1× 93 2.2× 32 0.9× 11 305
Delphine Leclerc 101 0.8× 56 0.6× 48 0.7× 36 0.9× 3 0.1× 17 317
Kejing Yan 173 1.3× 15 0.2× 13 0.2× 114 2.7× 9 0.3× 11 326
T.B. Turner 64 0.5× 41 0.5× 42 0.6× 33 0.8× 2 0.1× 21 316
Suresh Kumar 48 0.4× 10 0.1× 27 0.4× 7 0.2× 11 0.3× 22 216
Roberta Mazzeo 50 0.4× 25 0.3× 23 0.3× 28 0.7× 2 0.1× 17 246
Xuming Luo 134 1.0× 75 0.9× 21 0.3× 24 0.6× 20 235
Liping Wang 70 0.5× 16 0.2× 36 0.5× 40 1.0× 2 0.1× 16 222
Beniamino Schiavone 81 0.6× 7 0.1× 10 0.1× 26 0.6× 11 0.3× 18 291

Countries citing papers authored by Kangkang Wan

Since Specialization
Citations

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

Fields of papers citing papers by Kangkang Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kangkang Wan

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

All Works

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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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2026