Lin Deng

1.3k citations
34 papers · 778 · h-index 13

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • Extracellular vesicles in disease
    • RNA modifications and cancer
    • Sphingolipid Metabolism and Signaling

Papers in

Lin Deng

32 papers receiving 769 citations

Peers

Lin Deng
Comparison fields: 5 of 84
  • Cancer Research 263
  • Molecular Biology 436
  • Pulmonary and Respiratory Medicine 187
  • Cardiology and Cardiovascular Medicine 63
  • Physiology 14
Replace Jinbo Gao with:
Jinbo Gao China
Zhou Jiang China
Bin Lei China
Wenfeng He China
Xiaolei Shi China
Frédéric Martins France
Qi Xu China
Lin Deng relative to Jinbo Gao China Jinbo Gao's profile →
Citations per field
00.5×4.8×
Jinbo Gao · 1×
Citations per year

Countries citing papers authored by Lin Deng

Since Specialization
Citations

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

Fields of papers citing papers by Lin Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015242
2 201671
3 201162
4 201450
5 201537
6 201634
7 201633
8 202232
9 202428
10 202128
11 202023
12 202218
13 202013
14 202211
15 201911
16 201111
17 201211
18 202210
19 20247
20 20166

About Lin Deng

Lin Deng is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Oncology and Surgery, having authored 34 papers that have together received 778 indexed citations. Recurring topics across this work include Circular RNAs in diseases (6 papers), Pulmonary Hypertension Research and Treatments (6 papers), MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (5 papers), RNA modifications and cancer (3 papers), Polyamine Metabolism and Applications (3 papers), RNA and protein synthesis mechanisms (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Cancer Research (263 citations), Molecular Biology (436 citations), Pulmonary and Respiratory Medicine (187 citations), Cardiology and Cardiovascular Medicine (63 citations) and Physiology (14 citations). Lin Deng has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Andrew H. Baker, Angela C. Bradshaw, Nicholas W. Morrell, Hannah Stevens, Margaret R. MacLean, Matthew J. Thomas, John McClure, Ruifang Lu, Maria G. Frid and Axelle Caudrillier. Their work appears in journals such as Scientific Reports, Molecules, Journal of Pain Research, PLoS ONE and Odontology.

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.

Explore authors with similar magnitude of impact