Ran Wu

809 citations
26 papers · 592 · h-index 13

Impact in

Papers in

    • Circular RNAs in diseases 3
    • Natural product bioactivities and synthesis 2
    • Ginseng Biological Effects and Applications 2
    • Immune Cell Function and Interaction 2

Ran Wu

25 papers receiving 579 citations

Peers

Ran Wu
Comparison fields: 5 of 106
  • Endocrinology, Diabetes and Metabolism 250
  • Biological Psychiatry 20
  • Oncology 155
  • Behavioral Neuroscience 15
  • Pathology and Forensic Medicine 62
Replace Byung‐In Moon with:
Byung‐In Moon South Korea
Nelson Fuentes United States
Sudipan Karmakar United States
Eslam E. Abd El-Fattah Egypt
Fei Xiong China
Geetanjali Sharma United States
Gloria Saccani Jotti Italy
Fengjuan Huang China
Karen A. Veverka United States
Ran Wu relative to Byung‐In Moon South Korea Byung‐In Moon's profile →
Citations per field
00.5×3.0×
Byung‐In Moon · 1×
Citations per year

Countries citing papers authored by Ran Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ran Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003288
2 200932
3 201830
4 202128
5 201926
6 202026
7 201920
8 202118
9 202017
10 201817
11 202012
12 201812
13 201712
14 202311
15 199511
16 20216
17 20206
18 20215
19 20235
20 20244

About Ran Wu

Ran Wu is a scholar working on Molecular Biology, Immunology, Oncology, Hematology and Infectious Diseases, having authored 26 papers that have together received 592 indexed citations. Recurring topics across this work include Circular RNAs in diseases (3 papers), Cancer-related molecular mechanisms research (3 papers), Mesenchymal stem cell research (2 papers), Natural product bioactivities and synthesis (2 papers), Autoimmune and Inflammatory Disorders Research (2 papers), Immune Cell Function and Interaction (2 papers), Ginseng Biological Effects and Applications (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (250 citations), Biological Psychiatry (20 citations), Oncology (155 citations), Behavioral Neuroscience (15 citations) and Pathology and Forensic Medicine (62 citations). Ran Wu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include José Costa, Hongyu Zhao, Agustín Herrero, Marina Pollán, Maria Luisa Carcangiu, Javier Aller Pardo, Ginesa García‐Rostán, Robert L. Camp, Giovanni Tallini and Liyuan Ma. Their work appears in journals such as Cell Transplantation, Journal of Separation Science, Journal of Chromatography A, International Journal of Biological Macromolecules and Medicine.

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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