Fei Dong

5.7k citations
136 papers · 3.9k · h-index 38

Impact in

Papers in

    • Sarcoma Diagnosis and Treatment 8
    • Prostate Cancer Diagnosis and Treatment 7
    • Lung Cancer Treatments and Mutations 5
    • Pancreatic and Hepatic Oncology Research 5
    • Vascular Tumors and Angiosarcomas 5

Fei Dong

118 papers receiving 3.9k citations

Peers

Fei Dong
Comparison fields: 5 of 137
  • Obstetrics and Gynecology 400
  • Reproductive Medicine 318
  • Pulmonary and Respiratory Medicine 1.2k
  • Cancer Research 503
  • Oncology 662
Replace David J. Collins with:
David J. Collins United Kingdom
Oscar Lin United States
Håvard E. Danielsen Norway
Christina Messiou United Kingdom
Corinne Balleyguier France
Ann E. Walts United States
Rohit Bhargava United States
Stephen Yip Canada
Filippo Fraggetta Italy
Albert J. Kovatich United States
Fei Dong relative to David J. Collins United Kingdom David J. Collins's profile →
Citations per field
00.5×1.5×
David J. Collins · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017330
2 2016139
3 2016123
4 2017122
5 2018115
6 2013108
7 2010102
8 2014100
9 200897
10 201496
11 201892
12 201789
13 201487
14 201586
15 202083
16 201878
17 200874
18 201973
19 202372
20 201671

About Fei Dong

Fei Dong is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Pathology and Forensic Medicine, Cancer Research and Molecular Biology, having authored 136 papers that have together received 3.9k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (19 papers), Genetic factors in colorectal cancer (12 papers), Sarcoma Diagnosis and Treatment (8 papers), Ovarian cancer diagnosis and treatment (7 papers), Prostate Cancer Diagnosis and Treatment (7 papers), Pancreatic and Hepatic Oncology Research (5 papers), Vascular Tumors and Angiosarcomas (5 papers) and Lung Cancer Treatments and Mutations (5 papers). The work is most often cited by research in Obstetrics and Gynecology (400 citations), Reproductive Medicine (318 citations), Pulmonary and Respiratory Medicine (1.2k citations), Cancer Research (503 citations) and Oncology (662 citations). Fei Dong has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Marisa R. Nucci, Neal I. Lindeman, Brooke E. Howitt, Laura E. MacConaill, Yue Zhang, Lynette M. Sholl, Elizabeth Garcia, Frank C. Kuo, Christopher P. Crum and Danielle C. Costigan. Their work appears in journals such as Modern Pathology, The American Journal of Surgical Pathology, Histopathology, Medicine and Journal of Molecular Diagnostics.

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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