Dongcheng Wu

2.7k citations
55 papers · 2.2k indexed · 1 hit paper · h-index 27
  • Nephrology top 2%
    • Chronic Kidney Disease and Diabetes 5
  • Genetics top 2%
    • Mesenchymal stem cell research 13
    • MicroRNA in disease regulation 4
    • Metabolism, Diabetes, and Cancer 5
    • Protein Kinase Regulation and GTPase Signaling 4
    • Ubiquitin and proteasome pathways 4
  • Cell Biology top 10%
    • Cancer-related Molecular Pathways 6
    • Tissue Engineering and Regenerative Medicine 5

Dongcheng Wu

55 papers receiving 2.1k citations

Hit Papers

Human umbilical cord-derived mesenchymal stem cells preve...229202020262022202450100150200

Peers

Dongcheng Wu
Comparison fields: 5 of 107
  • Nephrology 314
  • Genetics 391
  • Cancer Research 274
  • Molecular Biology 1.2k
  • Cell Biology 214
Replace Hao Ding with:
Hao Ding China
Daisuke Ogawa Japan
Oleg Tarnavski United States
Nandini Ghosh‐Choudhury United States
Cynthia J. Sieben United States
Francis X. Farrell United States
Jun Zhan China
Iwao Kida Japan
Nour-Eddine Rhaleb United States
Yoshikazu Nakaoka Japan
Dongcheng Wu relative to Hao Ding China Hao Ding's profile →
Citations per field
00.5×
Hao Ding · 1×
Citations per year

Countries citing papers authored by Dongcheng Wu

Since Specialization
Citations

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

Fields of papers citing papers by Dongcheng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20251
3 20251
4 20241
5 202411
6 202415
7 202328
8 202158
9 202026
10 202033
11 201937
12 201532
13 201392
14 200927
15 200999
16
PC12 Cells Neuron Differentiation Induced by NGF
20081
17 200542
18 200432
19 200370
20 20028

About Dongcheng Wu

Dongcheng Wu is a scholar working on Genetics, Nephrology and Molecular Biology, having authored 55 papers that have together received 2.2k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (13 papers), Cancer-related Molecular Pathways (6 papers), Tissue Engineering and Regenerative Medicine (5 papers), Chronic Kidney Disease and Diabetes (5 papers), Metabolism, Diabetes, and Cancer (5 papers), MicroRNA in disease regulation (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and Ubiquitin and proteasome pathways (4 papers). The work is most often cited by research in Nephrology (314 citations), Genetics (391 citations) and Cancer Research (274 citations). Dongcheng Wu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Alistair J. Ingram, Joan C. Krepinsky, Damu Tang, Lieqi Liu, Fang-Fang Peng, Baifang Zhang, Changyong Li, Bo Gao, Vincent J. Kidd and Jill M. Lahti.

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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