Xiaodong Ma

4.5k total citations
173 papers, 3.6k citations indexed

About

Xiaodong Ma is a scholar working on Molecular Biology, Oncology and Organic Chemistry. According to data from OpenAlex, Xiaodong Ma has authored 173 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Molecular Biology, 47 papers in Oncology and 31 papers in Organic Chemistry. Recurrent topics in Xiaodong Ma's work include Cancer therapeutics and mechanisms (17 papers), PI3K/AKT/mTOR signaling in cancer (14 papers) and Lung Cancer Treatments and Mutations (14 papers). Xiaodong Ma is often cited by papers focused on Cancer therapeutics and mechanisms (17 papers), PI3K/AKT/mTOR signaling in cancer (14 papers) and Lung Cancer Treatments and Mutations (14 papers). Xiaodong Ma collaborates with scholars based in China, United States and Canada. Xiaodong Ma's co-authors include Changyuan Wang, Kexin Liu, Huijun Sun, Jinyong Peng, Qiang Meng, Zhihao Liu, Xiaohong Shu, Xiaokui Huo, Yongzhou Hu and Yue Jin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Xiaodong Ma

171 papers receiving 3.6k citations

Peers

Xiaodong Ma
Comparison fields: 5 of 141
  • Molecular Biology 1.7k
  • Oncology 655
  • Organic Chemistry 646
  • Pulmonary and Respiratory Medicine 390
  • Pathology and Forensic Medicine 330
Replace Zhiheng He with:
Zhiheng He China
Luigi Iuliano Italy
Haiying Zhang China
Maen Abdelrahim United States
Chi‐Tai Yeh Taiwan
Rong Hu China
Lie Li China
Naoki Yoshimi Japan
Di Chen China
Madhumita Chatterjee India
Zhiheng He China View profile →
Citations per field, relative to Xiaodong Ma
Xiaodong Ma · 1×
Citations per year, relative to Xiaodong Ma
Xiaodong Ma · 1×

Countries citing papers authored by Xiaodong Ma

Since Specialization
Citations

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

Fields of papers citing papers by Xiaodong Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaodong Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaodong Ma. A scholar is included among the top collaborators of Xiaodong Ma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaodong Ma. Xiaodong Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 8
2 2
3 1
4 4
5 43
6 27
7 19
8 31
9 32
10 2
11 54
12 122
13 26
14 16
15 29
16 35
17 28
18 12
19 56
20
[Liangge san effects the expression of CD14 and scaverger receptor in the Kupffer cells of liver of endotoxemia mice].
1

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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