Xiaolin Ma

779 citations
35 papers · 553 · h-index 11

Impact in

Papers in

Xiaolin Ma

32 papers receiving 549 citations

Peers

Xiaolin Ma
Comparison fields: 5 of 88
  • Biomaterials 152
  • Molecular Medicine 53
  • Pollution 92
  • Applied Microbiology and Biotechnology 11
  • Automotive Engineering 62
Replace Kangkang Liu with:
Kangkang Liu China
Hanieh Shokrani Iran
Amirhossein Shokrani Iran
Nataša Drnovšek Slovenia
Samantha Mattioli Italy
Lorenzo Bonetti Italy
Věra Jenčová Czechia
Yue Shan China
Christoph Fahrenson Germany
Yihu Wang China
Xiaolin Ma relative to Kangkang Liu China Kangkang Liu's profile →
Citations per field
00.5×6.9×
Kangkang Liu · 1×
Citations per year

Countries citing papers authored by Xiaolin Ma

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolin Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015112
2 202298
3 202249
4 202441
5 202239
6 201837
7 202335
8 201012
9 202312
10 202411
11 202111
12 202210
13
Application of radionuclide imaging to hepatic impact injury in rabbits.
20049
14 20239
15 20248
16 20218
17 20227
18 20227
19 20096
20 20195

About Xiaolin Ma

Xiaolin Ma is a scholar working on Molecular Biology, Biomaterials, Mechanical Engineering, Biomedical Engineering and Immunology, having authored 35 papers that have together received 553 indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (6 papers), Magnesium Alloys: Properties and Applications (6 papers), Ovarian cancer diagnosis and treatment (3 papers), High Entropy Alloys Studies (3 papers), RNA modifications and cancer (3 papers), Additive Manufacturing Materials and Processes (2 papers), Antibiotic Resistance in Bacteria (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Biomaterials (152 citations), Molecular Medicine (53 citations), Pollution (92 citations), Applied Microbiology and Biotechnology (11 citations) and Automotive Engineering (62 citations). Xiaolin Ma has collaborated with scholars based in China, France and Japan. Frequent co-authors include Yufeng Zheng, Caimei Wang, Yun Tian, Jinge Liu, Peng Wen, Xiaohui Bai, Bing Liu, Xiang Xiao, Hang Zhang and Jing Li. Their work appears in journals such as Journal of Magnesium and Alloys, Bioactive Materials, Materials Science and Engineering A, Frontiers in Pharmacology and Disease Markers.

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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