Fengfeng Wang

939 citations
47 papers · 716 · h-index 18

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • Fungal and yeast genetics research

Papers in

    • Circular RNAs in diseases 4
    • Fungal and yeast genetics research 3
    • RNA modifications and cancer 3
    • MicroRNA in disease regulation 11
    • Cancer-related molecular mechanisms research 7

Fengfeng Wang

47 papers receiving 710 citations

Peers

Fengfeng Wang
Comparison fields: 5 of 119
  • Cancer Research 219
  • Molecular Biology 373
  • Anesthesiology and Pain Medicine 23
  • Pharmacology 66
  • Plant Science 113
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Citations per field
00.5×4.1×
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Citations per year

Countries citing papers authored by Fengfeng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Fengfeng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201665
2 201155
3 201044
4 201640
5 201535
6 201234
7 201433
8 200932
9 202030
10 201427
11 202026
12 201423
13 201621
14 201721
15 201718
16 201617
17 201417
18 202017
19 202416
20 201415

About Fengfeng Wang

Fengfeng Wang is a scholar working on Molecular Biology, Cancer Research, Plant Science, Surgery and Hematology, having authored 47 papers that have together received 716 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (11 papers), Cancer-related molecular mechanisms research (7 papers), Circular RNAs in diseases (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Fungal and yeast genetics research (3 papers), RNA modifications and cancer (3 papers) and Approximation Theory and Sequence Spaces (3 papers). The work is most often cited by research in Cancer Research (219 citations), Molecular Biology (373 citations), Anesthesiology and Pain Medicine (23 citations), Pharmacology (66 citations) and Plant Science (113 citations). Fengfeng Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Lawrence Chan, William C. Cho, Sze Chuen Cesar Wong, Benjamin Yat‐Ming Yung, Fei Meng, Han A. B. Wösten, Stanley Sau Ching Wong, Parco M. Siu, Luis G. Lugones and Jan F. de Jong. Their work appears in journals such as Frontiers in Genetics, BioMed Research International, Regional Anesthesia & Pain Medicine, Antonie van Leeuwenhoek and Scientific Reports.

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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