Dong Lu

4.1k citations
100 papers · 3.0k indexed · h-index 26

Impact in

    • MicroRNA in disease regulation
    • CRISPR and Genetic Engineering
    • Pluripotent Stem Cells Research
    • Protein Degradation and Inhibitors
    • RNA Interference and Gene Delivery

Papers in

Dong Lu

98 papers receiving 3.0k citations

Peers

Dong Lu
Comparison fields: 5 of 150
  • Cancer Research 409
  • Molecular Biology 1.8k
  • Hepatology 171
  • Immunology 454
  • Immunology and Allergy 129
Replace Hyun‐Soo Cho with:
Hyun‐Soo Cho South Korea
Burkhard Jansen Austria
Alessandro Datti Canada
Qinglei Gao China
Yi Gu China
Frank J. Schoenen United States
Hui Feng China
Yonghui Zhang China
Muzafar A. Macha India
Yingdong Zhao United States
Dong Lu relative to Hyun‐Soo Cho South Korea Hyun‐Soo Cho's profile →
Citations per field
00.5×1.7×
Hyun‐Soo Cho · 1×
Citations per year

Countries citing papers authored by Dong Lu

Since Specialization
Citations

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

Fields of papers citing papers by Dong Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008299
2 2010267
3 2013259
4 2011193
5 2010182
6 2018158
7 2020152
8 2013150
9 201470
10 201256
11 202255
12 201549
13 201743
14 201641
15 200840
16 201539
17
The role of integrins in cancer and the development of anti-integrin therapeutic agents for cancer therapy.
200839
18 200838
19 201337
20 201535

About Dong Lu

Dong Lu is a scholar working on Hepatology, Immunology and Allergy, Cancer Research, Biological Psychiatry and Computational Theory and Mathematics, having authored 100 papers that have together received 3.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Protein Degradation and Inhibitors (8 papers), Cell Adhesion Molecules Research (8 papers), MicroRNA in disease regulation (7 papers), Ubiquitin and proteasome pathways (7 papers), RNA Interference and Gene Delivery (6 papers) and HER2/EGFR in Cancer Research (5 papers). The work is most often cited by research in Cancer Research (409 citations), Molecular Biology (1.8k citations), Hepatology (171 citations), Immunology (454 citations) and Immunology and Allergy (129 citations). Dong Lu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Pentao Liu, Elena Vigorito, Rebecca Leyland, Susan Kohlhaas, Xinjie Lu, Allan Bradley, Lia S. Campos, Vijay V. Kakkar, Zemin Ning and Xiaozhong Wang. Their work appears in journals such as European Journal of Medicinal Chemistry, ACS Medicinal Chemistry Letters, Journal of Medicinal Chemistry, PLoS ONE and Nature Communications.

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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