Fei Dong

1.5k total citations
44 papers, 179 citations indexed

About

Fei Dong is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Fei Dong has authored 44 papers receiving a total of 179 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 13 papers in Pathology and Forensic Medicine and 13 papers in Oncology. Recurrent topics in Fei Dong's work include Lymphoma Diagnosis and Treatment (13 papers), Multiple Myeloma Research and Treatments (8 papers) and Protein Degradation and Inhibitors (5 papers). Fei Dong is often cited by papers focused on Lymphoma Diagnosis and Treatment (13 papers), Multiple Myeloma Research and Treatments (8 papers) and Protein Degradation and Inhibitors (5 papers). Fei Dong collaborates with scholars based in China, United States and India. Fei Dong's co-authors include Xiaoyan Ke, Feifei Wu, Hongmei Jing, Wei Zhang, Yanfang Wang, Jing Wang, Yanfang Wang, Jing Wang, Feifei Zhang and Sridhar Krishnaswamy and has published in prestigious journals such as PLoS ONE, Scientific Reports and Annals of Oncology.

In The Last Decade

Fei Dong

34 papers receiving 176 citations

Peers

Fei Dong
Comparison fields: 5 of 61
  • Oncology 85
  • Immunology 52
  • Molecular Biology 44
  • Hematology 27
  • Pathology and Forensic Medicine 20
Replace Yanzhi Song with:
Yanzhi Song China
Joonhee Park South Korea
F. Henschke Germany
Ruxuan Chen China
Louisa Green United Kingdom
Po‐Lan Su Taiwan
Mehrdad Farrokhi Iran
Jacinth Joseph United States
Joseph H. Oved United States
Caroline Nickner Canada
Yanzhi Song China View profile →
Citations per field, relative to Fei Dong
Fei Dong · 1×
Citations per year, relative to Fei Dong
Fei Dong · 1×

Countries citing papers authored by Fei Dong

Since Specialization
Citations

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

Fields of papers citing papers by Fei Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Dong. A scholar is included among the top collaborators of Fei Dong 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 Fei Dong. Fei Dong 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 1
4 1
5 3
6 0
7 3
8 0
9 0
10 1
11 5
12 2
13 2
14 18
15 3
16 2
17 41
18
[Distribution characteristics and antimicrobial resistance of pathogens about hospital infection from patients in single hematology center during 2011 and 2013].
0
19 30
20 0

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026