Feifei Yan

52 papers receiving 1.5k citations

Hit Papers

A Review on Functionally Graded Materials and Structures via Additive Manufacturing: From Multi‐Scale Design to Versatile Functional Properties 2020 · 382 citations
3822020202620222024100200300

Peers

Feifei Yan
Comparison fields: 5 of 139
  • Biomaterials 224
  • Automotive Engineering 199
  • Biomedical Engineering 445
  • Cancer Research 120
  • Mechanical Engineering 257
Replace Su-Jin Lee with:
Su-Jin Lee South Korea
Xinhui Xie China
Wenyue Li China
Yifan Wang China
Per H. Nilsson Sweden
Junzo Takahashi Japan
Huijie Leng China
Ziqi Wang China
Yanbin Shi China
Richard Appleyard Australia
Feifei Yan relative to Su-Jin Lee South Korea Su-Jin Lee's profile →
Citations per field
00.5×3.8×
Su-Jin Lee · 1×
Citations per year

Countries citing papers authored by Feifei Yan

Since Specialization
Citations

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

Fields of papers citing papers by Feifei Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Review on Functionally Graded Materials and Structures via Additive Manufacturing: From Multi‐Scale Design to Versatile Functional Properties
Hit paper breakdown →
2020382
2 2012202
3 202066
4 202166
5 202159
6 202155
7 202053
8 200752
9 201949
10 201946
11 202037
12 201836
13 202331
14 201931
15 202228
16 202426
17 201725
18 202025
19 202323
20 202423

About Feifei Yan

Feifei Yan is a scholar working on Molecular Biology, Biomedical Engineering, Biomaterials, Surgery and Cancer Research, having authored 57 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (12 papers), Electrospun Nanofibers in Biomedical Applications (4 papers), Graphene and Nanomaterials Applications (4 papers), Tissue Engineering and Regenerative Medicine (3 papers), Nanoparticle-Based Drug Delivery (3 papers), Epigenetics and DNA Methylation (3 papers), Medicinal Plant Pharmacodynamics Research (3 papers) and Bone health and treatments (3 papers). The work is most often cited by research in Biomaterials (224 citations), Automotive Engineering (199 citations), Biomedical Engineering (445 citations), Cancer Research (120 citations) and Mechanical Engineering (257 citations). Feifei Yan has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Lin Cai, Yuanlong Xie, Mads Tang‐Christensen, Chenxing Xin, Marianne O. Larsen, Lijing Huang, Cecilia Nilsson, Kirsten Raun, Yan Li and Khamis Essa. Their work appears in journals such as International Journal of Biological Macromolecules, Frontiers in Bioengineering and Biotechnology, ACS Biomaterials Science & Engineering, Materials & Design and International Journal of Nanomedicine.

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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