Xiaofei Ma

707 citations
23 papers · 567 · h-index 13

Impact in

Papers in

    • Reproductive System and Pregnancy 9
    • Immune Response and Inflammation 4
    • IL-33, ST2, and ILC Pathways 3
    • Immune Cell Function and Interaction 2
    • Reproductive Physiology in Livestock 8

Xiaofei Ma

23 papers receiving 562 citations

Peers

Xiaofei Ma
Comparison fields: 5 of 80
  • Immunology 208
  • Agronomy and Crop Science 105
  • Reproductive Medicine 48
  • Cancer Research 82
  • Pharmacology 44
Replace Nannan Yin with:
Nannan Yin China
Meizhou Huang China
Yoshihiro Futamura Japan
Qiushi Xu China
Lei Shen China
Fateme Zare Iran
Qianming Jiang United States
Mya Mya Mu Japan
Xiaoli Yang China
Xiaofei Ma relative to Nannan Yin China Nannan Yin's profile →
Citations per field
00.5×2.5×
Nannan Yin · 1×
Citations per year

Countries citing papers authored by Xiaofei Ma

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofei Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017101
2 201775
3 201765
4 201754
5 201843
6 202133
7 201929
8 201928
9 202122
10 202120
11 202114
12 202112
13 202312
14 202212
15 202310
16 202010
17 20178
18 20217
19 20215
20 20164

About Xiaofei Ma

Xiaofei Ma is a scholar working on Immunology, Agronomy and Crop Science, Cancer Research, Molecular Biology and Ecology, Evolution, Behavior and Systematics, having authored 23 papers that have together received 567 indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (9 papers), Reproductive Physiology in Livestock (8 papers), Immune Response and Inflammation (4 papers), IL-33, ST2, and ILC Pathways (3 papers), Cancer-related molecular mechanisms research (3 papers), Immune Cell Function and Interaction (2 papers), NF-κB Signaling Pathways (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Immunology (208 citations), Agronomy and Crop Science (105 citations), Reproductive Medicine (48 citations), Cancer Research (82 citations) and Pharmacology (44 citations). Xiaofei Ma has collaborated with scholars based in China, Pakistan and France. Frequent co-authors include Kangfeng Jiang, Haichong Wu, Gan Zhao, Changwei Qiu, Nannan Yin, Ganzhen Deng, Xiaoyan Wang, Shuai Guo, Ganzhen Deng and Aftab Shaukat. Their work appears in journals such as Oncotarget, International Immunopharmacology, Oxidative Medicine and Cellular Longevity, Journal of Reproductive Immunology and Inflammation Research.

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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