Xiaojin Feng

1.3k total citations · 1 hit paper
25 papers, 875 citations indexed

About

Xiaojin Feng is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Xiaojin Feng has authored 25 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cancer Research, 7 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Xiaojin Feng's work include Circular RNAs in diseases (4 papers), Cancer-related molecular mechanisms research (4 papers) and Cancer, Lipids, and Metabolism (3 papers). Xiaojin Feng is often cited by papers focused on Circular RNAs in diseases (4 papers), Cancer-related molecular mechanisms research (4 papers) and Cancer, Lipids, and Metabolism (3 papers). Xiaojin Feng collaborates with scholars based in China, Australia and United States. Xiaojin Feng's co-authors include Yongping Liu, Xiaodong Sun, Ningning Hou, Fang Han, Xue Li, Fuzhou Hua, Jialing Hu, Fenfang Zhan, Guohai Xu and Qingcui Zheng and has published in prestigious journals such as Frontiers in Immunology, Experimental Neurology and Brain Behavior and Immunity.

In The Last Decade

Xiaojin Feng

22 papers receiving 868 citations

Hit Papers

Global, regional, and national burden of Alzheimer's dise... 2022 2026 2023 2024 2022 100 200 300

Peers

Xiaojin Feng
Comparison fields: 5 of 124
  • Molecular Biology 262
  • Physiology 217
  • Psychiatry and Mental health 107
  • Neurology 101
  • Cardiology and Cardiovascular Medicine 93
Replace Cristina Bosi with:
Cristina Bosi Italy
Dandan Liu China
Azra Alajbegović Bosnia and Herzegovina
Cheng Jiang China
Maria Mirabelli Italy
Mami Takemoto Japan
Mimi Tang China
Inga Prokopenko United Kingdom
Cristina Bosi Italy View profile →
Citations per field, relative to Xiaojin Feng
Xiaojin Feng · 1×
Citations per year, relative to Xiaojin Feng
Xiaojin Feng · 1×

Countries citing papers authored by Xiaojin Feng

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojin Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojin Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojin Feng. A scholar is included among the top collaborators of Xiaojin Feng 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 Xiaojin Feng. Xiaojin Feng 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 13
2 3
3 0
4 13
5 37
6 11
7 5
8 21
9 110
10
Global, regional, and national burden of Alzheimer's disease and other dementias, 1990–2019 breakdown →
379
11 37
12 24
13 34
14 52
15 9
16 37
17 32
18 1
19 0
20 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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