Lingdi Ma

432 citations
25 papers · 363 · h-index 11

Impact in

Papers in

    • Bioactive natural compounds 7
    • Retinoids in leukemia and cellular processes 4
    • Immune Cell Function and Interaction 9

Lingdi Ma

25 papers receiving 350 citations

Peers

Lingdi Ma
Comparison fields: 5 of 61
  • Toxicology 31
  • Geriatrics and Gerontology 17
  • Physiology 18
  • Molecular Biology 240
  • Hematology 37
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Citations per field
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Citations per year

Countries citing papers authored by Lingdi Ma

Since Specialization
Citations

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

Fields of papers citing papers by Lingdi Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008127
2 201930
3 201523
4 201723
5 201121
6 201216
7
STAT3 signaling pathway is involved in decitabine induced biological phenotype regulation of acute myeloid leukemia cells.
201516
8
Matrine increases NKG2D ligand ULBP2 in K562 cells via inhibiting JAK/STAT3 pathway: a potential mechanism underlying the immunotherapy of matrine in leukemia.
201516
9 201015
10
Matrine regulates immune functions to inhibit the proliferation of leukemic cells.
201514
11 202011
12
[Inhibition of tumor growth in tumor-bearing mice treated with matrine].
20059
13 20158
14 20096
15 20135
16 20155
17 20224
18 20103
19 20143
20
[Enhancing effect of matrine on the tumor-inhibition by TIM2 gene-modified hepatocarcinoma H22 cells in mice].
20082

About Lingdi Ma

Lingdi Ma is a scholar working on Molecular Biology, Immunology, Oncology, Toxicology and Organic Chemistry, having authored 25 papers that have together received 363 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), Bioactive natural compounds (7 papers), Bioactive Compounds and Antitumor Agents (5 papers), Cytokine Signaling Pathways and Interactions (4 papers), Retinoids in leukemia and cellular processes (4 papers), Synthesis of Indole Derivatives (3 papers), Acute Myeloid Leukemia Research (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Toxicology (31 citations), Geriatrics and Gerontology (17 citations), Physiology (18 citations), Molecular Biology (240 citations) and Hematology (37 citations). Lingdi Ma has collaborated with scholars based in China, Sweden and Bangladesh. Frequent co-authors include Shihong Wen, Yujuan He, Xiaoshan Liu, Jikai Jiang, Yan Zhan, Xuzhang Lu, Zhichao Zhu, Xiao Sun, Min Zhou and Sixuan Qian. Their work appears in journals such as Frontiers in Pharmacology, Cancer Biology & Therapy, Planta Medica, Oncotarget and Chinese Journal of Integrative Medicine.

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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