Xinwen Wang

722 citations
33 papers · 551 indexed · h-index 16
Topics
Angiogenesis and VEGF in Cancer (6 papers)Cancer-related molecular mechanisms research (5 papers)Cancer, Hypoxia, and Metabolism (4 papers)

In The Last Decade

Xinwen Wang

32 papers receiving 542 citations

Peers

Xinwen Wang
Comparison fields: 5 of 106
  • Molecular Biology 194
  • Immunology 93
  • Oncology 70
  • Cell Biology 67
  • Cancer Research 65
Replace Carla García‐Morales with:
Carla García‐Morales United Kingdom
Shayne C. Barlow United States
Federico O. Robbiati Argentina
Nelly Pirot France
Yujing Yang China
Lucas F. Loffredo United States
Anju Zhang China
Shuyong Wang China
Anthony E. Woods Australia
Yasuhiro Ozawa Japan
Xinwen Wang relative to Carla García‐Morales United Kingdom Carla García‐Morales's profile →
Citations per field
00.5×1.5×1.9×
Carla García‐Morales · 1×
Citations per year

Countries citing papers authored by Xinwen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xinwen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinwen Wang

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
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3 9
4 3
5 14
6 16
7 23
8 1
9 27
10 17
11 7
12
Preliminary observation of population status and social organization of Rhinopithecus strykeri in Pianma Town,Nujiang County,China
3
13 22
14 20
15 30
16 17
17 44
18 52
19 58
20 23

About Xinwen Wang

Xinwen Wang is a scholar working on Ecological Modeling, Cancer Research and Molecular Biology, having authored 33 papers that have together received 551 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (6 papers), Cancer-related molecular mechanisms research (5 papers) and Cancer, Hypoxia, and Metabolism (4 papers). The work is most often cited by research in Ecological Modeling (29 citations), Microbiology (29 citations) and Immunology (93 citations). Xinwen Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Changyi Chen, Qing Yao, Peter H. Lin, Qizhi Yao, Hong Chai, Alan B. Lumsden, Firas F. Mussa, Shenglin Wang, Jianhua Lin and Min Li. Their work appears in journals such as Blood, Arteriosclerosis Thrombosis and Vascular Biology and American Journal of Physiology-Heart and Circulatory Physiology.

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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