Dan Xi

39 papers receiving 841 citations

Peers

Dan Xi
Comparison fields: 5 of 110
  • Environmental Chemistry 113
  • Developmental Neuroscience 41
  • Otorhinolaryngology 42
  • Endocrine and Autonomic Systems 60
  • Cancer Research 131
Replace Claudia Consales with:
Claudia Consales Italy
Masahiko Miyata Japan
Eric Perret France
David S. Sharlin United States
Svetlana Ghimbovschi United States
Andrey Mikhailov Finland
Seong-Jin Kim South Korea
C. Joana Marques Portugal
Yu‐Chia Chen Taiwan
Raghu Metpally United States
Dan Xi relative to Claudia Consales Italy Claudia Consales's profile →
Citations per field
00.5×10.5×
Claudia Consales · 1×
Citations per year

Countries citing papers authored by Dan Xi

Since Specialization
Citations

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

Fields of papers citing papers by Dan Xi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Cellular and genetic characterization of human adult bone marrow-derived neural stem-like cells: a potential antiglioma cellular vector.
200378
2 199972
3 201865
4 199764
5 200460
6 201744
7 201640
8 199636
9 199235
10 201533
11 201831
12 201830
13 201529
14 201821
15 201520
16 199920
17 201819
18 202118
19 201615
20 201615

About Dan Xi

Dan Xi is a scholar working on Molecular Biology, Cancer Research, Surgery, Immunology and Cardiology and Cardiovascular Medicine, having authored 44 papers that have together received 856 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), Marine Toxins and Detection Methods (3 papers), Brain Metastases and Treatment (3 papers), Cancer-related molecular mechanisms research (3 papers), Head and Neck Cancer Studies (3 papers), Ion channel regulation and function (3 papers) and Neuroscience of respiration and sleep (3 papers). The work is most often cited by research in Environmental Chemistry (113 citations), Developmental Neuroscience (41 citations), Otorhinolaryngology (42 citations), Endocrine and Autonomic Systems (60 citations) and Cancer Research (131 citations). Dan Xi has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include John S. Ramsdell, Harold Gainer, Zhigang Guo, Kiyoshi Kusano, Tiantian Luo, Yonggang Peng, Howard A. Fine, Wendong Gu, Wenjie Jiang and Junjun Chen. Their work appears in journals such as Scientific Reports, Endocrinology, The American Journal of the Medical Sciences, Cell & Bioscience and Journal of Molecular and Cellular Cardiology.

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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