Qing‐Jun Meng

5.1k citations
81 papers · 3.3k · h-index 31

Impact in

Papers in

Qing‐Jun Meng

77 papers receiving 3.3k citations

Peers

Qing‐Jun Meng
Comparison fields: 5 of 138
  • Endocrine and Autonomic Systems 1.8k
  • Aging 374
  • Physiology 1.0k
  • Biological Psychiatry 56
  • Cellular and Molecular Neuroscience 396
Replace Kenneth A. Dyar with:
Kenneth A. Dyar Germany
Nicholas F. Lahens United States
Ignacio R. Rodríguez United States
Lisa D. Wilsbacher United States
Vivek Kumar United States
Kelly E. Mayo United States
Martin Holzenberger France
Koyomi Miyazaki Japan
Maria Chiara Magnone Switzerland
Jerry Vriend Canada
Qing‐Jun Meng relative to Kenneth A. Dyar Germany Kenneth A. Dyar's profile →
Citations per field
00.5×1.5×2.2×
Kenneth A. Dyar · 1×
Citations per year

Countries citing papers authored by Qing‐Jun Meng

Since Specialization
Citations

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

Fields of papers citing papers by Qing‐Jun Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008297
2 2014238
3 2010200
4 2015155
5 2020137
6 2012133
7 2016131
8 2013111
9 2010106
10 2008100
11 201688
12 200286
13 201484
14 201584
15 201481
16 201777
17 201662
18 201358
19 201655
20 201454

About Qing‐Jun Meng

Qing‐Jun Meng is a scholar working on Endocrine and Autonomic Systems, Physiology, Molecular Biology, Plant Science and Aging, having authored 81 papers that have together received 3.3k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (45 papers), Spaceflight effects on biology (19 papers), Dietary Effects on Health (13 papers), Light effects on plants (12 papers), Genetics, Aging, and Longevity in Model Organisms (11 papers), Asthma and respiratory diseases (5 papers), Neurobiology and Insect Physiology Research (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.8k citations), Aging (374 citations), Physiology (1.0k citations), Biological Psychiatry (56 citations) and Cellular and Molecular Neuroscience (396 citations). Qing‐Jun Meng has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Andrew Loudon, Michal Dudek, Ray Boot-Handford, Nan Yang, Nicole Gossan, David A. Bechtold, Jack Williams, Michael H. Hastings, Charles Streuli and Jian Li. Their work appears in journals such as Matrix Biology, Proceedings of the National Academy of Sciences, PLoS ONE, Nature Communications and Journal of Cell Science.

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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