Xin Chang

5.0k citations
149 papers · 3.4k indexed · 1 hit paper · h-index 32

Impact in

Papers in

Xin Chang

143 papers receiving 3.4k citations

Hit Papers

Magnitude, Risk Factors, and Factors Associated With Adenoma Miss Rate of Tandem Colonoscopy: A Systematic Review and Meta-analysis 2019 · 373 citations
3732019202620212023100200300

Peers

Xin Chang
Comparison fields: 5 of 138
  • Complementary and alternative medicine 403
  • Neurology 281
  • Cancer Research 410
  • Pharmacology 228
  • Oncology 604
Replace Jun‐Hee Lee with:
Jun‐Hee Lee South Korea
Chia‐Jung Li Taiwan
Wenwen Li China
Gang Zheng China
Mi-Kyung Kim South Korea
Wenbin Li China
Huali Zhang China
Tao Shen China
Jingjing Zhang China
Xin Chang relative to Jun‐Hee Lee South Korea Jun‐Hee Lee's profile →
Citations per field
00.5×4.8×
Jun‐Hee Lee · 1×
Citations per year

Countries citing papers authored by Xin Chang

Since Specialization
Citations

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

Fields of papers citing papers by Xin Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202428
2 20241
3 202318
4 20231
5 20233
6 20239
7 20227
8 202113
9 2021119
10 2021124
11 202055
12 20209
13 201919
14 201916
15 201864
16 201518
17 201528
18 201431
19 201424
20
Etch-pits of GaN films with different etching methods
20041

About Xin Chang

Xin Chang is a scholar working on Complementary and alternative medicine, Renewable Energy, Sustainability and the Environment, Biological Psychiatry, Immunology and Cancer Research, having authored 149 papers that have together received 3.4k indexed citations. Recurring topics across this work include Electrocatalysts for Energy Conversion (17 papers), Traditional Chinese Medicine Analysis (16 papers), Cardiac Ischemia and Reperfusion (13 papers), Advanced battery technologies research (12 papers), Advanced Photocatalysis Techniques (10 papers), Diabetes and associated disorders (8 papers), Mitochondrial Function and Pathology (7 papers) and Cancer-related molecular mechanisms research (7 papers). The work is most often cited by research in Complementary and alternative medicine (403 citations), Neurology (281 citations), Cancer Research (410 citations), Pharmacology (228 citations) and Oncology (604 citations). Xin Chang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jing‐Yu Fan, Jing‐Yan Han, Bai‐He Hu, Chun‐Shui Pan, Yuying Liu, Kai Sun, Shuling Wang, Mingyi Zhang, Shengbing Zhao and Ruichao Chai. Their work appears in journals such as Frontiers in Physiology, Scientific Reports, Shock, Dalton Transactions and Sustainable Energy & Fuels.

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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