Feng Wan

458 citations
18 papers · 295 · h-index 10

Impact in

  • Genetics top 10%
    • Glioma Diagnosis and Treatment
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Ubiquitin and proteasome pathways 2
    • Glycosylation and Glycoproteins Research 2
    • Angiogenesis and VEGF in Cancer 1
    • FOXO transcription factor regulation 1
    • Glioma Diagnosis and Treatment 4

Feng Wan

16 papers receiving 292 citations

Peers

Feng Wan
Comparison fields: 5 of 51
  • Genetics 72
  • Cancer Research 72
  • Oncology 80
  • Developmental Neuroscience 12
  • Molecular Biology 168
Replace Ian J. Restall with:
Ian J. Restall Canada
Vik Van Duppen Belgium
Johnathan Ebben United States
Diane J. Aum United States
Olatz Arrizabalaga Spain
Wenliang Li China
M.-T. Stockhausen Denmark
Lorenza Pasqualini Italy
Abigail K. Suwala Germany
Yonghong Xiao United States
Feng Wan relative to Ian J. Restall Canada Ian J. Restall's profile →
Citations per field
00.5×
Ian J. Restall · 1×
Citations per year

Countries citing papers authored by Feng Wan

Since Specialization
Citations

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

Fields of papers citing papers by Feng Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201159
2 201142
3 201235
4 201331
5 201321
6 201220
7 201019
8 201811
9 202110
10
Comparative study on the stem cell phenotypes of C6 cells under different culture conditions.
20119
11 20129
12 20139
13 20208
14 20116
15
[Effects of geniposide on SNP-induced apoptosis of chondrocyte and cell cycle].
20135
16 20201
17 20230
18 20260

About Feng Wan

Feng Wan is a scholar working on Molecular Biology, Genetics, Neurology, Oncology and Immunology, having authored 18 papers that have together received 295 indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (4 papers), Glioma Diagnosis and Treatment (4 papers), Ubiquitin and proteasome pathways (2 papers), Glycosylation and Glycoproteins Research (2 papers), Cancer Cells and Metastasis (2 papers), Angiogenesis and VEGF in Cancer (1 paper), Lung Cancer Research Studies (1 paper) and FOXO transcription factor regulation (1 paper). The work is most often cited by research in Genetics (72 citations), Cancer Research (72 citations), Oncology (80 citations), Developmental Neuroscience (12 citations) and Molecular Biology (168 citations). Feng Wan has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Ting Lei, Christel Herold‐Mende, Niels Grabe, Benito Campos, Justo Lorenzo Bermejo, Rezvan Ahmadi, Guido Reifenberger, Andreas Unterberg, Fei Ye and Jörg Felsberg. Their work appears in journals such as International Journal of Oncology, The FASEB Journal, International Journal of Radiation Biology, American Journal Of Pathology and Cellular & Molecular Biology Letters.

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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