Panpan Chang

1.2k citations
30 papers · 888 · h-index 15

Impact in

Papers in

Panpan Chang

25 papers receiving 886 citations

Peers

Panpan Chang
Comparison fields: 5 of 97
  • Biomaterials 243
  • Critical Care and Intensive Care Medicine 65
  • Microbiology 60
  • Cancer Research 116
  • Molecular Biology 446
Replace Ken Suzuki with:
Ken Suzuki United Kingdom
Huinan Yin China
Liang Gao China
J. Koopman Netherlands
Anisyah Ridiandries Australia
Zhuo‐Hao Liu Taiwan
Xiaoliang Sun China
Changlai Zhu China
Lixian Jiang China
Panpan Chang relative to Ken Suzuki United Kingdom Ken Suzuki's profile →
Citations per field
00.5×8.6×
Ken Suzuki · 1×
Citations per year

Countries citing papers authored by Panpan Chang

Since Specialization
Citations

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

Fields of papers citing papers by Panpan Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018122
2 202298
3 201688
4 201578
5 201774
6 202171
7 201666
8 201662
9 202328
10 201727
11 201925
12 201823
13 201822
14 202015
15 201915
16 202214
17 201810
18 201510
19 20199
20 20217

About Panpan Chang

Panpan Chang is a scholar working on Molecular Biology, Critical Care and Intensive Care Medicine, Oncology, Biomaterials and Immunology, having authored 30 papers that have together received 888 indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (6 papers), Silk-based biomaterials and applications (4 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (3 papers), Mitochondrial Function and Pathology (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers), Inflammasome and immune disorders (3 papers), Cardiac Arrest and Resuscitation (3 papers) and Signaling Pathways in Disease (2 papers). The work is most often cited by research in Biomaterials (243 citations), Critical Care and Intensive Care Medicine (65 citations), Microbiology (60 citations), Cancer Research (116 citations) and Molecular Biology (446 citations). Panpan Chang has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Lin Wang, Zheng Wang, Hasan B. Alam, Aaron M. Williams, Umar F. Bhatti, Isabel S. Dennahy, Guobin Wang, Vahagn C. Nikolian, Yongqing Li and Tianbing Wang. Their work appears in journals such as The Journal of Trauma: Injury, Infection, and Critical Care, Frontiers in Immunology, Advanced Healthcare Materials, ACS Applied Materials & Interfaces and Current Molecular Medicine.

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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