Liu Ming

676 citations
23 papers · 544 · h-index 9

Impact in

Papers in

Liu Ming

21 papers receiving 537 citations

Peers

Liu Ming
Comparison fields: 5 of 93
  • Aquatic Science 102
  • Immunology 133
  • Cancer Research 84
  • Biochemistry 32
  • Pharmacology 37
Replace Seung‐Lark Hwang with:
Seung‐Lark Hwang South Korea
Hua Zheng China
Wenhao Jiang China
Hua Zheng China
Hsiao‐Ting Wu Taiwan
Longfei Huang China
Chong Zhao China
Katerina Hadrava Vanova Czechia
Hye-Sook Han South Korea
Liu Ming relative to Seung‐Lark Hwang South Korea Seung‐Lark Hwang's profile →
Citations per field
00.5×1.5×2.1×
Seung‐Lark Hwang · 1×
Citations per year

Countries citing papers authored by Liu Ming

Since Specialization
Citations

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

Fields of papers citing papers by Liu Ming

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018151
2 2002141
3 200760
4 201840
5 202134
6 201832
7
Naringin ameliorates cognitive deficits in streptozotocin-induced diabetic rats.
201628
8 201915
9 20218
10
Protective effect of rutin against diabetes-associated cognitive decline in rats.
20226
11 20195
12 20224
13 20214
14 20164
15
Framework of the Chinese registered nurse′s competency:a qualitative research
20063
16 20212
17 20222
18 20232
19
Rutin improves diabetes-induced muscle atrophy in mice.
20231
20
Analysis of the Temporal and Spatial Layout of Drought in the Huang-Huai-Hai Region
20111

About Liu Ming

Liu Ming is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience, Neurology and Cardiology and Cardiovascular Medicine, having authored 23 papers that have together received 544 indexed citations. Recurring topics across this work include Medicinal Plants and Bioactive Compounds (2 papers), Muscle Physiology and Disorders (2 papers), Natural Antidiabetic Agents Studies (2 papers), Exercise and Physiological Responses (2 papers), Ferroptosis and cancer prognosis (1 paper), Aquatic life and conservation (1 paper), Neuroscience and Neuropharmacology Research (1 paper) and Saffron Plant Research Studies (1 paper). The work is most often cited by research in Aquatic Science (102 citations), Immunology (133 citations), Cancer Research (84 citations), Biochemistry (32 citations) and Pharmacology (37 citations). Liu Ming has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Guiqin Wang, Muyang Li, Jiaxin Tian, Xin‐Ming Zhu, Liu Xianchu, Tripathi B. Rajavashisth, Prediman K. Shah, Minwei Wang, Pinky Tripathi and Douglas J. Wilkin. Their work appears in journals such as Molecular Biology Reports, International Journal of Nursing Sciences, Aquaculture, Chemico-Biological Interactions and BMC Palliative Care.

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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