Zi Chen

9.0k citations
256 papers · 6.5k · 1 hit paper · h-index 37

Impact in

Papers in

Zi Chen

243 papers receiving 6.4k citations

Zi Chen's Hit Papers

Modeling Physiological Events in 2D vs. 3D Cell Culture 2017 · 1.3k citations
1.3k0+3+6Years since publication4008001.2k

Peers

Zi Chen
Comparison fields: 5 of 179
  • Biomedical Engineering 2.6k
  • Biomaterials 743
  • Genetics 387
  • Mechanical Engineering 1.3k
  • Polymers and Plastics 389
Replace Matthew J. Silva with:
Matthew J. Silva United States
Yuqing Liu China
Yaming Wang China
Yuli Wang China
Stephan Schmidt Germany
Makoto Kikuchi Japan
Aijun Wang United States
Liping Tang United States
Sang Soo Kim South Korea
Linhong Deng China
Zi Chen relative to Matthew J. Silva United States Matthew J. Silva's profile →
Citations per field
00.5×1.5×1.9×
Matthew J. Silva · 1×
Citations per year

Countries citing papers authored by Zi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Zi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 256 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Modeling Physiological Events in 2D vs. 3D Cell Culture
Hit paper breakdown →
20171300
2 2011191
3 2016187
4 2017174
5 2019150
6 2013145
7 2017138
8 2020132
9 2012115
10 2016111
11 2011109
12 2016102
13 2015101
14 201699
15 202087
16 200584
17 202183
18 201974
19 201873
20 201972

About Zi Chen

Zi Chen is a scholar working on Mechanical Engineering, Biomedical Engineering, Molecular Biology, Materials Chemistry and Genetics, having authored 256 papers that have together received 6.5k indexed citations. Recurring topics across this work include Advanced Materials and Mechanics (37 papers), Advanced Sensor and Energy Harvesting Materials (32 papers), Chronic Lymphocytic Leukemia Research (26 papers), Chronic Myeloid Leukemia Treatments (18 papers), Acute Myeloid Leukemia Research (13 papers), Lymphoma Diagnosis and Treatment (13 papers), Modular Robots and Swarm Intelligence (11 papers) and Chemical Synthesis and Characterization (11 papers). The work is most often cited by research in Biomedical Engineering (2.6k citations), Biomaterials (743 citations), Genetics (387 citations), Mechanical Engineering (1.3k citations) and Polymers and Plastics (389 citations). Zi Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Kayla Duval, Hannah Grover, Yongchao Mou, Adrian F. Pegoraro, Li‐Hsin Han, Ian Trase, John X. J. Zhang, Lin Dong, Andrew B. Closson and Congran Jin. Their work appears in journals such as Blood, Journal of Clinical Oncology, Extreme Mechanics Letters, Applied Physics Letters and Polymers.

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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