Shaoqing Wen

2.1k citations
68 papers · 589 indexed · h-index 14
  • Archeology top 2%
    • Forensic Anthropology and Bioarchaeology Studies 16
  • Genetics top 5%
    • Forensic and Genetic Research 48
    • Genetic diversity and population structure 26
    • Yersinia bacterium, plague, ectoparasites research 9
    • Race, Genetics, and Society 8
  • Paleontology top 10%
    • Archaeology and ancient environmental studies 13
    • Pacific and Southeast Asian Studies 7
  • Anthropology top 10%
    • Molecular Biology Techniques and Applications 12

Shaoqing Wen

61 papers receiving 574 citations

Peers

Shaoqing Wen
Comparison fields: 5 of 85
  • Archeology 152
  • Genetics 414
  • Paleontology 104
  • Geography, Planning and Development 42
  • Anthropology 51
Replace Hong Zhu with:
Hong Zhu China
Frederika A. Kaestle United States
Valery Zaporozhchenko Russia
Liane Giemsch Germany
Alexander Hübner Germany
Mayukh Mondal Estonia
Sergey Zhadanov United States
Veronika Siska United Kingdom
Ayça Omrak Sweden
Viola Grugni Italy
Shaoqing Wen relative to Hong Zhu China Hong Zhu's profile →
Citations per field
00.5×
Hong Zhu · 1×
Citations per year

Countries citing papers authored by Shaoqing Wen

Since Specialization
Citations

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

Fields of papers citing papers by Shaoqing Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Shaoqing Wen, 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 Shaoqing Wen Line = papers co-authored together Shaoqing Wen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20241
3 20248
4 20240
5 20240
6 20234
7 20237
8 20220
9 202212
10 20221
11 20213
12 202014
13 20194
14 20196
15 201841
16 20171
17 201715
18 201724
19 20166
20 201510

About Shaoqing Wen

Shaoqing Wen is a scholar working on Genetics, Paleontology and Archeology, having authored 68 papers that have together received 589 indexed citations. Recurring topics across this work include Forensic and Genetic Research (48 papers), Genetic diversity and population structure (26 papers), Forensic Anthropology and Bioarchaeology Studies (16 papers), Archaeology and ancient environmental studies (13 papers), Molecular Biology Techniques and Applications (12 papers), Yersinia bacterium, plague, ectoparasites research (9 papers), Race, Genetics, and Society (8 papers) and Pacific and Southeast Asian Studies (7 papers). The work is most often cited by research in Archeology (152 citations), Genetics (414 citations) and Paleontology (104 citations). Shaoqing Wen has collaborated with scholars based in China, United States and France. Frequent co-authors include Jin Li, Chuan‐Chao Wang, Lan‐Hai Wei, Hui Li, Shi Yan, Ling-Xiang Wang, Yun‐Zhi Huang, Yan Lü, Shuhua Xu and Bofeng Zhu. Their work appears in journals such as Frontiers in Genetics, Molecular Genetics and Genomics, Frontiers in Ecology and Evolution, European Journal of Human Genetics and Science Bulletin.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026