Da Meng

2.2k citations
35 papers · 1.7k · 1 hit paper · h-index 17

Impact in

Papers in

Da Meng

34 papers receiving 1.6k citations

Da Meng's Hit Papers

lncRNA-dependent mechanisms of androgen-receptor-regulated gene activation programs 2013 · 524 citations
5240+4+8Years since publication100200300400500

Peers

Da Meng
Comparison fields: 5 of 134
  • Cancer Research 402
  • Molecular Medicine 107
  • Spectroscopy 241
  • Clinical Biochemistry 79
  • Molecular Biology 743
Replace Shu‐Yu Lin with:
Shu‐Yu Lin Taiwan
Katharina Nöh Germany
Hojung Nam South Korea
Jin Gu China
Xiaowen Feng China
Tae Hwan Shin South Korea
Wei‐Chung Cheng Taiwan
Wenjun Mo United States
Si Wu United States
Raf Van de Plas United States
Da Meng relative to Shu‐Yu Lin Taiwan Shu‐Yu Lin's profile →
Citations per field
00.5×6.6×
Shu‐Yu Lin · 1×
Citations per year

Countries citing papers authored by Da Meng

Since Specialization
Citations

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

Fields of papers citing papers by Da Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
lncRNA-dependent mechanisms of androgen-receptor-regulated gene activation programs
Hit paper breakdown →
2013524
2 2014175
3 2009143
4 2013138
5 2013127
6 201187
7 201281
8 201460
9 201451
10 201444
11 201840
12 201429
13 201320
14 200520
15 202318
16 201518
17 201517
18 201514
19 201210
20 20139

About Da Meng

Da Meng is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Control and Systems Engineering, Spectroscopy and Automotive Engineering, having authored 35 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (5 papers), Power System Optimization and Stability (5 papers), Energy Load and Power Forecasting (4 papers), Mass Spectrometry Techniques and Applications (4 papers), Advanced Battery Technologies Research (3 papers), Fault Detection and Control Systems (3 papers), Control Systems and Identification (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Cancer Research (402 citations), Molecular Medicine (107 citations), Spectroscopy (241 citations), Clinical Biochemistry (79 citations) and Molecular Biology (743 citations). Da Meng has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Ning Zhou, Shuai Lu, Greg Welch, Chunyu Jin, Kenneth A. Ohgi, Jie Zhang, Christopher P. Evans, Joy C. Yang, Zhenyu Huang and Daria Merkurjev. Their work appears in journals such as Journal of Proteome Research, Proceedings of the National Academy of Sciences, Energy Economics, Journal of Clinical Microbiology and IEEE Transactions on Smart Grid.

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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