Lu Ma

575 citations
21 papers · 368 indexed · h-index 13

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Single-cell and spatial transcriptomics
    • RNA Research and Splicing
    • RNA modifications and cancer

Papers in

Lu Ma

21 papers receiving 366 citations

Peers

Lu Ma
Comparison fields: 5 of 89
  • Cancer Research 85
  • Molecular Biology 181
  • Infectious Diseases 41
  • Immunology 44
  • Reproductive Medicine 13
Replace Valentin Schatz with:
Valentin Schatz Germany
Wen Wen China
Nuruliarizki Shinta Pandupuspitasari China
Vahid Arabkari Ireland
Shuyi Zhao China
Ali Afgar Iran
Yuan-Yuan Liu China
Amol Kavishwar United States
Xiangyang Wu China
Ananya Gupta Ireland
Lu Ma relative to Valentin Schatz Germany Valentin Schatz's profile →
Citations per field
00.5×1.5×1.9×
Valentin Schatz · 1×
Citations per year

Countries citing papers authored by Lu Ma

Since Specialization
Citations

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

Fields of papers citing papers by Lu Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202157
2 200847
3 201937
4 202134
5 202124
6 202022
7 201818
8 201917
9 202514
10 202114
11 201712
12 201912
13 202012
14 202412
15 20179
16 20189
17
[Cloning and identification of deltamethrin-resistance or susceptibility associated genes of Culex pipiens pallens].
20017
18 20224
19 20223
20 20232

About Lu Ma

Lu Ma is a scholar working on Cancer Research, Sensory Systems, Physiology, Periodontics and Cell Biology, having authored 21 papers that have together received 368 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), MicroRNA in disease regulation (2 papers), Adipose Tissue and Metabolism (2 papers), RNA modifications and cancer (2 papers), Muscle metabolism and nutrition (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Cancer Research (85 citations), Molecular Biology (181 citations), Infectious Diseases (41 citations), Immunology (44 citations) and Reproductive Medicine (13 citations). Lu Ma has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Geng Chen, Duojiao Wu, Yunjin Li, Gongshe Yang, Xin’e Shi, Qisen Guo, Yanting Xu, Shujuan Sun, Shi Chen and Heng Li. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Molecular Therapy, Journal of Antimicrobial Chemotherapy, International Journal of Medical Sciences and Pigment Cell & Melanoma Research.

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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