Changxin Wan

3.2k citations
18 papers · 1.6k indexed · 2 hit papers · h-index 9
Topics
Genomics and Chromatin Dynamics (6 papers)Vehicle emissions and performance (4 papers)Single-cell and spatial transcriptomics (3 papers)
Partner nations
United StatesChinaTaiwan

In The Last Decade

Changxin Wan

16 papers receiving 1.6k citations

Hit Papers

Large-scale public data reuse to model immunotherapy resp...201820262020202320202018200400600

Peers

Changxin Wan
Comparison fields: 5 of 92
  • Molecular Biology 1.1k
  • Pulmonary and Respiratory Medicine 524
  • Cancer Research 461
  • Oncology 404
  • Immunology 313
Replace Rongbin Zheng with:
Rongbin Zheng China
David Nittner Belgium
Ya‐Ru Miao China
David Balli United States
Gui‐Yan Xie China
Jesse Novak United States
Dongqing Sun China
Aiai Shi China
Xintao Qiu United States
Heidi L. Kenerson United States
Changxin Wan relative to Rongbin Zheng China Rongbin Zheng's profile →
Citations per field
00.5×1.5×
Rongbin Zheng · 1×
Citations per year

Countries citing papers authored by Changxin Wan

Since Specialization
Citations

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

Fields of papers citing papers by Changxin Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changxin Wan

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 0
2 0
3 7
4 5
5 1
6 2
7 11
8 1
9 8
10 168
11
Large-scale public data reuse to model immunotherapy response and resistancebreakdown →
697
12 122
13 39
14 8
15 52
16 2
17 1
18
Cistrome Data Browser: expanded datasets and new tools for gene regulatory analysisbreakdown →
524

About Changxin Wan

Changxin Wan is a scholar working on Transportation, Automotive Engineering and Molecular Biology, having authored 18 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (6 papers), Vehicle emissions and performance (4 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Cancer Research (461 citations), Molecular Biology (1.1k citations) and Pulmonary and Respiratory Medicine (524 citations). Changxin Wan has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include X. Shirley Liu, Wubing Zhang, Jing Zhang, Jingxin Fu, Karen Li, Peng Jiang, Clifford A. Meyer, Rongbin Zheng, Myles Brown and Qian Qin. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Genome biology.

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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