Yinlu Ding

898 citations
33 papers · 580 · h-index 15

Impact in

Papers in

    • Ubiquitin and proteasome pathways 7
    • Wnt/β-catenin signaling in development and cancer 4
    • Hippo pathway signaling and YAP/TAZ 10

Yinlu Ding

32 papers receiving 573 citations

Peers

Yinlu Ding
Comparison fields: 5 of 68
  • Cancer Research 79
  • Cell Biology 92
  • Oncology 120
  • Molecular Biology 261
  • Gastroenterology 17
Replace Suguru Hayase with:
Suguru Hayase Japan
Yantao Duan China
Kisha Mitchell-Richards United States
Shutao Pan China
Wen Cheng China
Matthias Rastetter Germany
Angela Poehlmann Germany
Tetsuya Kajimoto Japan
Chengkun Qin China
Daniel Ciznadija United States
Yinlu Ding relative to Suguru Hayase Japan Suguru Hayase's profile →
Citations per field
00.5×3.7×
Suguru Hayase · 1×
Citations per year

Countries citing papers authored by Yinlu Ding

Since Specialization
Citations

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

Fields of papers citing papers by Yinlu Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201084
2 202250
3 201246
4 200944
5 202232
6 202029
7 202026
8 202322
9 201222
10 201221
11 202218
12 202315
13 202215
14 201815
15 202015
16
Positive MACC1 expression correlates with invasive behaviors and postoperative liver metastasis in colon cancer.
201512
17
Differences in pathologic characteristics between ductal carcinoma in situ (DCIS), DCIS with microinvasion and DCIS with invasive ductal carcinoma.
202012
18 202111
19 202011
20 202210

About Yinlu Ding

Yinlu Ding is a scholar working on Molecular Biology, Cell Biology, Oncology, Surgery and Cancer Research, having authored 33 papers that have together received 580 indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (10 papers), Ubiquitin and proteasome pathways (7 papers), Cancer-related Molecular Pathways (5 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Esophageal Cancer Research and Treatment (2 papers), Gastrointestinal disorders and treatments (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Cancer Research (79 citations), Cell Biology (92 citations), Oncology (120 citations), Molecular Biology (261 citations) and Gastroenterology (17 citations). Yinlu Ding has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Qisan Wang, Jian Zhu, Ting Zhuang, Peng Su, Jianliang Zhang, Lei Xiang, Huijie Yang, Yong Zhou, Xin Li and Qi Cao. Their work appears in journals such as Oncogene, Journal of Experimental & Clinical Cancer Research, Cell Death and Disease, Journal of Cancer and International Journal of Medical Sciences.

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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