Bowang Chen

67 papers receiving 1.9k citations

Peers

Bowang Chen
Comparison fields: 5 of 138
  • Cancer Research 206
  • Oncology 308
  • Endocrinology, Diabetes and Metabolism 188
  • Genetics 320
  • Molecular Biology 642
Replace Marina Pierdominici with:
Marina Pierdominici Italy
José Sánchez‐Corona Mexico
Marı́a T. Zarrabeitia Spain
Martina Weise Germany
Robert W. McMurray United States
Florence Busato France
Dagmar‐Christiane Fischer Germany
Lei Su China
Kuang‐Hsiang Chuang United States
Vicky E. MacRae United Kingdom
Bowang Chen relative to Marina Pierdominici Italy Marina Pierdominici's profile →
Citations per field
00.5×2.6×
Marina Pierdominici · 1×
Citations per year

Countries citing papers authored by Bowang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Bowang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bowang Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bowang Chen Line = papers co-authored together Bowang Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005209
2 2020174
3 2005119
4 2017117
5 2005116
6 201081
7 200572
8 200966
9 202163
10 200661
11 200456
12 202152
13 200951
14 200644
15 200441
16 201740
17 200535
18 202334
19 201232
20 202332

About Bowang Chen

Bowang Chen is a scholar working on Oncology, Molecular Biology, Genetics, Pathology and Forensic Medicine and Epidemiology, having authored 71 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (9 papers), Wood Treatment and Properties (6 papers), Genomic variations and chromosomal abnormalities (6 papers), Bamboo properties and applications (5 papers), Genetic Associations and Epidemiology (5 papers), BRCA gene mutations in cancer (5 papers), Tree Root and Stability Studies (5 papers) and Colorectal Cancer Screening and Detection (5 papers). The work is most often cited by research in Cancer Research (206 citations), Oncology (308 citations), Endocrinology, Diabetes and Metabolism (188 citations), Genetics (320 citations) and Molecular Biology (642 citations). Bowang Chen has collaborated with scholars based in Germany, China and Sweden. Frequent co-authors include Kari Hemminki, Justo Lorenzo Bermejo, Caspar Grond‐Ginsbach, Charis Eng, Kari Hemminki, John W. Cole, Asta Försti, Stefan Wilkening, Jiapeng Lu and Xi Li. Their work appears in journals such as The Lancet Regional Health - Western Pacific, Carcinogenesis, International Journal of Cancer, Cancer Epidemiology Biomarkers & Prevention and PLoS ONE.

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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