Feng Feng

794 total citations
45 papers, 384 citations indexed

About

Feng Feng is a scholar working on Surgery, Nutrition and Dietetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Feng Feng has authored 45 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Surgery, 10 papers in Nutrition and Dietetics and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Feng Feng's work include Pancreatic and Hepatic Oncology Research (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Magnesium in Health and Disease (4 papers). Feng Feng is often cited by papers focused on Pancreatic and Hepatic Oncology Research (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Magnesium in Health and Disease (4 papers). Feng Feng collaborates with scholars based in China, United States and Hong Kong. Feng Feng's co-authors include Samuel C. Dudley, Man Liu, Hong Liu, Guangbin Shi, An Xie, Allen E. Silverstone, Zhoujun Shen, Jennifer E. Nyland, Arthur H. Tatum and Jerrie Gavalchin and has published in prestigious journals such as Nature Communications, Circulation Research and Scientific Reports.

In The Last Decade

Feng Feng

42 papers receiving 382 citations

Peers

Feng Feng
Comparison fields: 5 of 87
  • Surgery 146
  • Oncology 63
  • Cardiology and Cardiovascular Medicine 62
  • Endocrinology, Diabetes and Metabolism 59
  • Nutrition and Dietetics 54
Replace Fumiaki Kimura with:
Fumiaki Kimura Japan
Swati Agrawal United States
Takahito Nasu Japan
Manuela Montanaro Italy
Sarah M. Choi United States
Zsolt B. Nagy Hungary
Xiaoran Zhang China
Emily Huang United States
Ken-ichi Hirata Japan
Luciane Martins Brazil
Fumiaki Kimura Japan View profile →
Citations per field, relative to Feng Feng
Feng Feng · 1×
Citations per year, relative to Feng Feng
Feng Feng · 1×

Countries citing papers authored by Feng Feng

Since Specialization
Citations

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

Fields of papers citing papers by Feng Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Feng. A scholar is included among the top collaborators of Feng Feng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Feng Feng. Feng Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 15
5 5
6 9
7 5
8 37
9 1
10 5
11 3
12 1
13 6
14 10
15
Characterization of A-and B-type starch granules in Chinese wheat cultivars
18
16
Exploring Genome-wide DNA Methylation Profiles Altered in Kashin-Beck Disease Using Infinium Human Methylation 450 Bead Chips
4
17 8
18 1
19
Impact of hypoxic preconditioning on apoptosis and its possible mechanism in orthotopic liver autotransplantation in rats
1
20 35

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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