Changming Lu

2.0k citations
34 papers · 1.5k · h-index 17

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Lipid metabolism and biosynthesis

Papers in

    • Nitrogen and Sulfur Effects on Brassica 5
    • RNA Interference and Gene Delivery 4
    • Plant biochemistry and biosynthesis 3
    • Plant tissue culture and regeneration 3
    • Lipid metabolism and biosynthesis 8

Changming Lu

34 papers receiving 1.5k citations

Peers

Changming Lu
Comparison fields: 5 of 98
  • Cancer Research 323
  • Biochemistry 149
  • Immunology 392
  • Molecular Biology 853
  • Plant Science 344
Replace Satish Parimoo with:
Satish Parimoo United States
Wendy Shillinglaw United States
Daniel Mihálik Slovakia
Giovanna De Matteis Italy
Nadine Gautier France
Angela Wedel Germany
Arnaud Besse United States
Guolin Zhou United States
Lingyun Long United States
I. McKay United Kingdom
Changming Lu relative to Satish Parimoo United States Satish Parimoo's profile →
Citations per field
00.5×4.8×
Satish Parimoo · 1×
Citations per year

Countries citing papers authored by Changming Lu

Since Specialization
Citations

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

Fields of papers citing papers by Changming Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Changming 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 Changming Lu Line = papers co-authored together Changming Lu 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 2011239
2 2015222
3 2014205
4 2015158
5 2013103
6 201267
7 200766
8 201455
9 201044
10 201044
11 200940
12 200833
13 201529
14 201024
15 201723
16 200121
17 201416
18 200214
19 201514
20 202112

About Changming Lu

Changming Lu is a scholar working on Molecular Biology, Biochemistry, Immunology, Plant Science and Rheumatology, having authored 34 papers that have together received 1.5k indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (8 papers), Nitrogen and Sulfur Effects on Brassica (5 papers), RNA Interference and Gene Delivery (4 papers), interferon and immune responses (4 papers), Plant biochemistry and biosynthesis (3 papers), Plant tissue culture and regeneration (3 papers), Bone and Dental Protein Studies (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Cancer Research (323 citations), Biochemistry (149 citations), Immunology (392 citations), Molecular Biology (853 citations) and Plant Science (344 citations). Changming Lu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Xianzheng Zhou, Xin Huang, Gang Wu, Haein Park, Mitchell S. Cairo, Donghui Fu, Fang Liu, Yunjing Li, Xiaobo Zhang and Xinhua Zeng. Their work appears in journals such as Plant Breeding, Blood, Clinical Immunology, Frontiers in Genetics and Journal of Integrative Agriculture.

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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