Junhua Ma

24 papers receiving 453 citations

Peers

Junhua Ma
Comparison fields: 5 of 86
  • Cancer Research 147
  • Endocrinology, Diabetes and Metabolism 61
  • Molecular Biology 211
  • Behavioral Neuroscience 9
  • Geriatrics and Gerontology 7
Replace Yu‐Qing Ni with:
Yu‐Qing Ni China
Wenjie Wu United States
Jichang Zhang China
Juliang Qin China
Marianne Petro United States
Roshini Sathiaseelan United States
T Fülöp Hungary
Zi Guo China
Young‐Cheol Lim South Korea
Junhua Ma relative to Yu‐Qing Ni China Yu‐Qing Ni's profile →
Citations per field
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Yu‐Qing Ni · 1×
Citations per year

Countries citing papers authored by Junhua Ma

Since Specialization
Citations

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

Fields of papers citing papers by Junhua Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022106
2 2015103
3 201938
4 200935
5
Identification of a locus for autosomal dominant high myopia on chromosome 5p13.3-p15.1 in a Chinese family.
201031
6 201626
7 201419
8 201518
9 201913
10 201013
11 202210
12 20176
13 20216
14 20115
15 20145
16 20243
17 20113
18 20213
19 20183
20 20183

About Junhua Ma

Junhua Ma is a scholar working on Molecular Biology, Epidemiology, Surgery, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 24 papers that have together received 457 indexed citations. Recurring topics across this work include Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers), Adipose Tissue and Metabolism (2 papers), Hormonal Regulation and Hypertension (2 papers), RNA and protein synthesis mechanisms (2 papers), Regulation of Appetite and Obesity (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), MicroRNA in disease regulation (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Cancer Research (147 citations), Endocrinology, Diabetes and Metabolism (61 citations), Molecular Biology (211 citations), Behavioral Neuroscience (9 citations) and Geriatrics and Gerontology (7 citations). Junhua Ma has collaborated with scholars based in China and United States. Frequent co-authors include Mingjun Gu, Lianyong Liu, Xiangqi Li, Jingnan Wang, Jichen Zhang, Xuemei Zhao, Hongling Zhu, Hui Wang, Xin Yin and Miao Li. Their work appears in journals such as Acta Biochimica et Biophysica Sinica, Biochemical and Biophysical Research Communications, Experimental and Clinical Endocrinology & Diabetes, Molecular Cancer and Journal of Nanoscience and Nanotechnology.

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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