Feng Yang

3.5k citations
100 papers · 2.8k · h-index 27

Impact in

  • Oncology top 5%
    • Pancreatic and Hepatic Oncology Research
    • Nanoparticle-Based Drug Delivery

Papers in

    • Pancreatic and Hepatic Oncology Research 38
    • Pancreatitis Pathology and Treatment 11

Feng Yang

95 papers receiving 2.7k citations

Peers

Feng Yang
Comparison fields: 5 of 140
  • Oncology 834
  • Biomaterials 426
  • Biomedical Engineering 797
  • Cancer Research 188
  • Gastroenterology 63
Replace Xin Ji with:
Xin Ji China
Silvia Scaglione Italy
Beilei Wang China
Michael Schirner Germany
Jie Yu China
Xiaohui Duan China
Rong Cai China
Deliang Fu China
Yu De Xin China
Masayuki Hashimoto Japan
Feng Yang relative to Xin Ji China Xin Ji's profile →
Citations per field
00.5×2×3×4.1×
Xin Ji · 1×
Citations per year

Countries citing papers authored by Feng Yang

Since Specialization
Citations

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

Fields of papers citing papers by Feng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010284
2 2011163
3 2009142
4 2011142
5 2009136
6 2014123
7 2012108
8 2009108
9 202098
10 200792
11 201566
12 200957
13 201452
14 201350
15 202042
16 200841
17 201340
18 201336
19 200936
20 201435

About Feng Yang

Feng Yang is a scholar working on Oncology, Surgery, Cancer Research, Epidemiology and Biomaterials, having authored 100 papers that have together received 2.8k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (38 papers), Pancreatitis Pathology and Treatment (11 papers), Neuroendocrine Tumor Research Advances (11 papers), Graphene and Nanomaterials Applications (10 papers), Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (5 papers), Nanoparticle-Based Drug Delivery (5 papers) and Carbon Nanotubes in Composites (4 papers). The work is most often cited by research in Oncology (834 citations), Biomaterials (426 citations), Biomedical Engineering (797 citations), Cancer Research (188 citations) and Gastroenterology (63 citations). Feng Yang has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Chen Jin, Deliang Fu, Jiang Long, Di Yang, Xianjun Yu, Jin Xu, Quanxing Ni, Yongjian Jiang, De-liang Fu and De Liang Fu. Their work appears in journals such as World Journal of Gastroenterology, Pancreatology, Surgery, Journal of Surgical Oncology and Medical Oncology.

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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