Xinyi Wang

7.7k total citations · 2 hit papers
200 papers, 4.6k citations indexed

About

Xinyi Wang is a scholar working on Molecular Biology, Cancer Research and Cognitive Neuroscience. According to data from OpenAlex, Xinyi Wang has authored 200 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Molecular Biology, 25 papers in Cancer Research and 24 papers in Cognitive Neuroscience. Recurrent topics in Xinyi Wang's work include Functional Brain Connectivity Studies (17 papers), Mental Health Research Topics (10 papers) and Cancer-related molecular mechanisms research (9 papers). Xinyi Wang is often cited by papers focused on Functional Brain Connectivity Studies (17 papers), Mental Health Research Topics (10 papers) and Cancer-related molecular mechanisms research (9 papers). Xinyi Wang collaborates with scholars based in China, United States and United Kingdom. Xinyi Wang's co-authors include Meiyu Geng, Haiyang Zhang, Guoguang Ying, Ting Deng, Yi Ba, Ming Bai, Haiou Yang, Jialu Li, Hongli Li and Tao Ning and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and PLoS ONE.

In The Last Decade

Xinyi Wang

184 papers receiving 4.5k citations

Hit Papers

Alzheimer’s disease hypothesis and related therapies 2017 2026 2020 2023 2018 2017 100 200 300 400

Peers

Xinyi Wang
Comparison fields: 5 of 165
  • Molecular Biology 2.3k
  • Cancer Research 1.2k
  • Physiology 461
  • Pulmonary and Respiratory Medicine 402
  • Oncology 348
Replace Zhou Zhou with:
Zhou Zhou China
Lin Zhang China
Rui Zhang China
Lian Wang China
Li Zou China
Xiaoli Chen China
Jingjing Zhang China
Şermin Genç Türkiye
Αθανάσιος Αλεξίου Saudi Arabia
Yan Cao China
Zhou Zhou China View profile →
Citations per field, relative to Xinyi Wang
Xinyi Wang · 1×
Citations per year, relative to Xinyi Wang
Xinyi Wang · 1×

Countries citing papers authored by Xinyi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xinyi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinyi Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xinyi Wang. A scholar is included among the top collaborators of Xinyi 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 Xinyi Wang. Xinyi 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
# Work Indexed citations
1 0
2 3
3 1
4 0
5 3
6 2
7 5
8 1
9 5
10 3
11 5
12 12
13 3
14 3
15 9
16 25
17 3
18 11
19 11
20 28

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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