Xinwen Song

477 citations
11 papers · 397 indexed · h-index 8
Topics
Liver Disease Diagnosis and Treatment (4 papers)MicroRNA in disease regulation (3 papers)Metabolomics and Mass Spectrometry Studies (2 papers)
Partner nations
ChinaUnited States

In The Last Decade

Xinwen Song

11 papers receiving 391 citations

Peers

Xinwen Song
Comparison fields: 5 of 64
  • Molecular Biology 293
  • Cancer Research 242
  • Epidemiology 53
  • Biological Psychiatry 41
  • Hepatology 34
Replace Ulrike Kaemmerer with:
Ulrike Kaemmerer Germany
Chiara Suvieri Italy
Zhichen Guan China
Xiang Yi Kong Norway
Pablo Fernández‐Tussy United States
Sofia Rossini Italy
Ashley Davis United States
Francisco Javier Laso Spain
Daniel J. Panyard United States
Weiyan Shen China
Xinwen Song relative to Ulrike Kaemmerer Germany Ulrike Kaemmerer's profile →
Citations per field
00.5×10×17×
Ulrike Kaemmerer · 1×
Citations per year

Countries citing papers authored by Xinwen Song

Since Specialization
Citations

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

Fields of papers citing papers by Xinwen Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinwen Song

This figure shows the co-authorship network connecting the top 25 collaborators of Xinwen Song. A scholar is included among the top collaborators of Xinwen Song 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 Xinwen Song. Xinwen Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 10
2 17
3 4
4 19
5 9
6 252
7 64
8 10
9
[Correlation of the expression of NF-κB p65 and hepatic fibrosis in hepatitis patients].
4
10
Determination the concentration of vancomycin in serum by solid phase extraction and HPLC
1
11
[Effects of oxymatrine on serum cytokines and hepatic fibrotic indexes in patients with chronic hepatitis B].
7

About Xinwen Song

Xinwen Song is a scholar working on Biological Psychiatry, Cancer Research and Epidemiology, having authored 11 papers that have together received 397 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (4 papers), MicroRNA in disease regulation (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Biological Psychiatry (41 citations), Cancer Research (242 citations) and Hepatology (34 citations). Xinwen Song has collaborated with scholars based in China and United States. Frequent co-authors include Haili Gao, Lijuan Hou, Hongwei Wang, Douglas Ziedonis, Jianjiang Zhang, Jinsong Gao, Xueqin Song, Amy Harrington, Wei Zhang and Luxian Lv. Their work appears in journals such as Schizophrenia Research, BioMed Research International and Virus 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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