Xinchen Wang

12.8k citations
24 papers · 3.5k indexed · 2 hit papers · h-index 16
Topics
RNA Research and Splicing (7 papers)RNA modifications and cancer (6 papers)Cancer-related molecular mechanisms research (5 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Xinchen Wang

24 papers receiving 3.4k citations

Hit Papers

Transcriptomic analysis of autistic brain reveals converg...2010202620152020201120104008001.2k

Peers

Xinchen Wang
Comparison fields: 5 of 121
  • Molecular Biology 2.6k
  • Genetics 841
  • Cognitive Neuroscience 627
  • Cancer Research 383
  • Immunology 257
Replace Dag H. Yasui with:
Dag H. Yasui United States
Irina Voineagu Australia
Skirmantas Kriaučionis United Kingdom
Dietrich Stephan United States
Michel Guipponi Switzerland
Tilmann Achsel Italy
Caleb Webber United Kingdom
Hirohiko Hohjoh Japan
Amanda Mitchell United States
Jonathan L. Haines United States
Xinchen Wang relative to Dag H. Yasui United States Dag H. Yasui's profile →
Citations per field
00.5×1.5×2.1×
Dag H. Yasui · 1×
Citations per year

Countries citing papers authored by Xinchen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xinchen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinchen Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xinchen Wang. A scholar is included among the top collaborators of Xinchen 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 Xinchen Wang. Xinchen 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 1
2 1
3 2
4 1
5 10
6 12
7 33
8 18
9 53
10 203
11 47
12 25
13 89
14 265
15 39
16 16
17 299
18 277
19
Transcriptomic analysis of autistic brain reveals convergent molecular pathologybreakdown →
1343
20
Deciphering the splicing codebreakdown →
644

About Xinchen Wang

Xinchen Wang is a scholar working on Cancer Research, Molecular Biology and Genetics, having authored 24 papers that have together received 3.5k indexed citations. Recurring topics across this work include RNA Research and Splicing (7 papers), RNA modifications and cancer (6 papers) and Cancer-related molecular mechanisms research (5 papers). The work is most often cited by research in Molecular Biology (2.6k citations), Cognitive Neuroscience (627 citations) and Genetics (841 citations). Xinchen Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Benjamin J. Blencowe, Jennifer K. Lowe, Irina Voineagu, Steve Horvath, Rita M. Cantor, Daniel H. Geschwind, Jonathan Mill, Yuan Tian, Patrick G. Johnston and Qun Pan. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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