Junhua Ma

26 papers receiving 695 citations

Peers

Junhua Ma
Comparison fields: 5 of 90
  • Cancer Research 157
  • Endocrinology, Diabetes and Metabolism 139
  • Immunology 93
  • Genetics 116
  • Molecular Biology 273
Replace Rute A. Tomaz with:
Rute A. Tomaz United Kingdom
Gumpei Yoshimatsu Japan
Man Lu China
Xiong Zhang China
Deepika Watts Germany
István Fűri Hungary
Ana Ortega Spain
Wenhui Xing China
Seiko Kyakumoto Japan
Raghava Reddy United States
Junhua Ma relative to Rute A. Tomaz United Kingdom Rute A. Tomaz's profile →
Citations per field
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Rute A. Tomaz · 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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011227
2 2022112
3 2015103
4 201940
5 200935
6
Identification of a locus for autosomal dominant high myopia on chromosome 5p13.3-p15.1 in a Chinese family.
201032
7 201626
8 201421
9 201520
10 201913
11 201012
12 201912
13 202210
14 20217
15 20176
16 20145
17 20115
18 20183
19 20243
20 20183

About Junhua Ma

Junhua Ma is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research, Epidemiology, Endocrine and Autonomic Systems and Molecular Biology, having authored 26 papers that have together received 709 indexed citations. Recurring topics across this work include Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers), Diabetes and associated disorders (2 papers), Hormonal Regulation and Hypertension (2 papers), Pancreatic function and diabetes (2 papers), RNA modifications and cancer (2 papers), Adipose Tissue and Metabolism (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Regulation of Appetite and Obesity (2 papers). The work is most often cited by research in Cancer Research (157 citations), Endocrinology, Diabetes and Metabolism (139 citations), Immunology (93 citations), Genetics (116 citations) and Molecular Biology (273 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, Ying Wang and Xin Yin. 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 Renal Failure.

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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