Yujin Ma

663 citations
26 papers · 480 · h-index 12

Impact in

Papers in

Yujin Ma

24 papers receiving 467 citations

Peers

Yujin Ma
Comparison fields: 5 of 100
  • Rehabilitation 69
  • Endocrinology, Diabetes and Metabolism 126
  • Occupational Therapy 26
  • Nephrology 37
  • Pharmacology 36
Replace Cheng Zhao with:
Cheng Zhao China
Songxue Guo China
Masahiro Iwata Japan
Yingbo Zhang China
Sandra Feijóo‐Bandín Spain
Qiu Chen China
Joshua A. David United States
Tatyana Sevastyanova Germany
Saurav Kumar Jha India
Changci Tong China
Yujin Ma relative to Cheng Zhao China Cheng Zhao's profile →
Citations per field
00.5×7.5×
Cheng Zhao · 1×
Citations per year

Countries citing papers authored by Yujin Ma

Since Specialization
Citations

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

Fields of papers citing papers by Yujin Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yujin 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 Yujin Ma Line = papers co-authored together Yujin 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 202188
2 202384
3 201845
4 201839
5 201828
6 201726
7 202426
8 201722
9 202018
10 202217
11
Neuroprotective effect of lovastatin by inhibiting NMDA receptor1 in 6-hydroxydopamine treated PC12 cells.
201417
12 202014
13 20178
14 20258
15 20247
16 20206
17 20235
18 20225
19 20254
20 20214

About Yujin Ma

Yujin Ma is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Molecular Biology, Epidemiology and Oncology, having authored 26 papers that have together received 480 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (6 papers), Diabetes Management and Research (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Diabetes and associated disorders (3 papers), Diabetes Treatment and Management (3 papers), Autophagy in Disease and Therapy (3 papers), Diabetic Foot Ulcer Assessment and Management (2 papers) and Heart Rate Variability and Autonomic Control (2 papers). The work is most often cited by research in Rehabilitation (69 citations), Endocrinology, Diabetes and Metabolism (126 citations), Occupational Therapy (26 citations), Nephrology (37 citations) and Pharmacology (36 citations). Yujin Ma has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Hongwei� Jiang, Liping Li, Jie Liu, Junqiang Yan, Huifang Peng, Yanle Li, Xin Liu, Jianbo Zhang, Zhigang Hu and Weiyi Wang. Their work appears in journals such as JAMA Network Open, Blood Purification, Diabetes/Metabolism Research and Reviews, Journal of Diabetes and its Complications and Cancer 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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