Xin Ma

6.7k citations
265 papers · 4.9k · h-index 39

Impact in

Papers in

Xin Ma

247 papers receiving 4.8k citations

Peers

Xin Ma
Comparison fields: 5 of 131
  • Cancer Research 1.0k
  • Pulmonary and Respiratory Medicine 1.5k
  • Surgery 1.2k
  • Molecular Biology 1.5k
  • Oncology 529
Replace Hidefumi Kinoshita with:
Hidefumi Kinoshita Japan
Shintaro Narita Japan
Kazuo Nishimura Japan
Jorge L. Yao United States
Sung Joon Hong South Korea
Takamitsu Inoue Japan
Liqun Zhou China
Seok‐Soo Byun South Korea
Masaki Nakamura Japan
Antti Sakari Rannikko Finland
Xin Ma relative to Hidefumi Kinoshita Japan Hidefumi Kinoshita's profile →
Citations per field
00.5×2×2.8×
Hidefumi Kinoshita · 1×
Citations per year

Countries citing papers authored by Xin Ma

Since Specialization
Citations

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

Fields of papers citing papers by Xin Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 265 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016139
2 2015105
3
Long non-coding RNA HOTAIR enhances angiogenesis by induction of VEGFA expression in glioma cells and transmission to endothelial cells via glioma cell derived-extracellular vesicles.
2017102
4 201594
5 200884
6 201084
7 201982
8 201774
9 200772
10 201567
11 201666
12 201366
13 201165
14 201663
15 201062
16 200661
17 201460
18 201555
19 201754
20 201752

About Xin Ma

Xin Ma is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Cancer Research, Molecular Biology and Oncology, having authored 265 papers that have together received 4.9k indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (75 papers), Renal and related cancers (21 papers), Bladder and Urothelial Cancer Treatments (18 papers), Adrenal and Paraganglionic Tumors (14 papers), Cancer-related molecular mechanisms research (13 papers), Hormonal Regulation and Hypertension (12 papers), Cancer Genomics and Diagnostics (10 papers) and Circular RNAs in diseases (10 papers). The work is most often cited by research in Cancer Research (1.0k citations), Pulmonary and Respiratory Medicine (1.5k citations), Surgery (1.2k citations), Molecular Biology (1.5k citations) and Oncology (529 citations). Xin Ma has collaborated with scholars based in China, United States and Philippines. Frequent co-authors include Hongzhao Li, Xu Zhang, Yu Gao, Liangyou Gu, Xintao Li, Zhang Xu, Baojun Wang, Qingbo Huang, Taoping Shi and Yongpeng Xie. Their work appears in journals such as Journal of Endourology, The Journal of Urology, Urologic Oncology Seminars and Original Investigations, Scientific Reports and Urology.

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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