Lihua Ma

453 citations
20 papers · 283 indexed · h-index 8
Topics
Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (3 papers)Mental Health Treatment and Access (3 papers)COVID-19 epidemiological studies (2 papers)
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Lihua Ma

18 papers receiving 274 citations

Peers

Lihua Ma
Comparison fields: 5 of 94
  • Clinical Psychology 59
  • Hematology 43
  • Endocrinology, Diabetes and Metabolism 35
  • Modeling and Simulation 35
  • Pulmonary and Respiratory Medicine 33
Replace Fatemeh Koohi with:
Fatemeh Koohi Iran
Matthias C. Braunisch Germany
Sundus Tariq Pakistan
Rebeca O Millán-Guerrero Mexico
Meng Hao China
Huajun Wang China
Immacolata Ambrosino Italy
Anthony Firek United States
Neha Goyal United States
Thomas Thomopoulos Greece
Lihua Ma relative to Fatemeh Koohi Iran Fatemeh Koohi's profile →
Citations per field
00.5×
Fatemeh Koohi · 1×
Citations per year

Countries citing papers authored by Lihua Ma

Since Specialization
Citations

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

Fields of papers citing papers by Lihua Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lihua Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Lihua Ma. A scholar is included among the top collaborators of Lihua Ma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lihua Ma. Lihua Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 1
3 1
4 1
5 0
6 0
7 3
8 51
9 19
10 14
11 107
12 24
13 12
14 19
15 5
16 2
17 6
18 3
19 3
20
The effects of glucose, insulin and oxidized low density lipoprotein on apoptosis in vascular endothelial cells.
10

About Lihua Ma

Lihua Ma is a scholar working on Modeling and Simulation, Emergency Medical Services and Developmental Neuroscience, having authored 20 papers that have together received 283 indexed citations. Recurring topics across this work include Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (3 papers), Mental Health Treatment and Access (3 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Modeling and Simulation (35 citations), Hematology (43 citations) and Clinical Psychology (59 citations). Lihua Ma has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jingfang Liu, Qingxiu Li, Xiaolian Jiang, Song Wang, Feifei Zhang, Yali Tian, Zhuyue Li, Yuanyuan Song, Tao Zhang and Ying Niu. Their work appears in journals such as Scientific Reports, Journal of Advanced Nursing and 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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