Rong Lu

3.4k citations
105 papers · 2.8k · h-index 29

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Oncology top 5%
    • Cytokine Signaling Pathways and Interactions

Papers in

    • Ubiquitin and proteasome pathways 8
    • RNA modifications and cancer 7
    • Epigenetics and DNA Methylation 6
    • Glycosylation and Glycoproteins Research 5
    • Peptidase Inhibition and Analysis 15
    • Cytokine Signaling Pathways and Interactions 4

Rong Lu

105 papers receiving 2.7k citations

Peers

Rong Lu
Comparison fields: 5 of 135
  • Cancer Research 433
  • Oncology 592
  • Molecular Biology 1.3k
  • Immunology 311
  • Pharmaceutical Science 89
Replace Cheng‐Wei Lin with:
Cheng‐Wei Lin Taiwan
Ritu Trivedi India
Hua Xie China
Lu Yu China
Surajit Pathak India
Heather Hatcher United States
Kamran Mansouri Iran
Chien‐Chih Chiu Taiwan
Amir Abbas Momtazi‐Borojeni Iran
Pithi Chanvorachote Thailand
Rong Lu relative to Cheng‐Wei Lin Taiwan Cheng‐Wei Lin's profile →
Citations per field
00.5×1.5×
Cheng‐Wei Lin · 1×
Citations per year

Countries citing papers authored by Rong Lu

Since Specialization
Citations

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

Fields of papers citing papers by Rong Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008362
2 2016126
3 2008121
4 2013106
5 201197
6 200794
7 201187
8 201884
9 202280
10 202268
11 202265
12 202159
13 202158
14 201055
15 200054
16 201754
17 200750
18 200844
19 201442
20 201840

About Rong Lu

Rong Lu is a scholar working on Molecular Biology, Oncology, Cancer Research, Pharmaceutical Science and Spectroscopy, having authored 105 papers that have together received 2.8k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (15 papers), Ubiquitin and proteasome pathways (8 papers), RNA modifications and cancer (7 papers), Epigenetics and DNA Methylation (6 papers), Glycosylation and Glycoproteins Research (5 papers), Advanced Drug Delivery Systems (5 papers), MicroRNA in disease regulation (5 papers) and Cytokine Signaling Pathways and Interactions (4 papers). The work is most often cited by research in Cancer Research (433 citations), Oncology (592 citations), Molecular Biology (1.3k citations), Immunology (311 citations) and Pharmaceutical Science (89 citations). Rong Lu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Jing‐Yuan Fang, Zhi Yao, Hua Xiong, Yingxuan Chen, Yuchen Wang, Qin Yu, Yanjie Zhang, Zhigang Zhang, Zhifeng Zhu and Wan Du. Their work appears in journals such as Molecular Carcinogenesis, Anti-Cancer Drugs, Journal of Chromatography B, Peptides and Pharmaceutics.

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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