Xinni Song

3.1k citations
38 papers · 459 indexed · h-index 13
Topics
Cancer Immunotherapy and Biomarkers (7 papers)Cancer Genomics and Diagnostics (5 papers)Cancer Treatment and Pharmacology (5 papers)
Journals
Journal of Clinical OncologySHILAP Revista de lepidopterologíaCancer Research
Partner nations
CanadaUnited StatesChina

In The Last Decade

Xinni Song

37 papers receiving 451 citations

Peers

Xinni Song
Comparison fields: 5 of 64
  • Oncology 252
  • Pulmonary and Respiratory Medicine 144
  • Molecular Biology 73
  • Cancer Research 61
  • Psychiatry and Mental health 59
Replace Kelly Westbrook with:
Kelly Westbrook United States
Ju‐Whei Lee United States
Tai‐Chung Lam Hong Kong
Benjamin Esparaz United States
Michal Rajski Switzerland
Heather Han United States
Paula A. Sullivan United States
Michael G. McCusker United States
Jennifer Wong Canada
Chih‐Teng Yu Taiwan
Xinni Song relative to Kelly Westbrook United States Kelly Westbrook's profile →
Citations per field
00.5×9.5×
Kelly Westbrook · 1×
Citations per year

Countries citing papers authored by Xinni Song

Since Specialization
Citations

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

Fields of papers citing papers by Xinni Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinni Song

This figure shows the co-authorship network connecting the top 25 collaborators of Xinni Song. A scholar is included among the top collaborators of Xinni 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 Xinni Song. Xinni Song 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
#WorkIndexed citations
1 1
2 0
3 49
4 7
5 8
6 2
7 12
8 12
9 68
10 17
11 1
12 21
13 2
14 4
15 2
16 1
17 8
18 20
19 36
20 6

About Xinni Song

Xinni Song is a scholar working on Oncology, Cancer Research and Family Practice, having authored 38 papers that have together received 459 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (7 papers), Cancer Genomics and Diagnostics (5 papers) and Cancer Treatment and Pharmacology (5 papers). The work is most often cited by research in Oncology (252 citations), Pulmonary and Respiratory Medicine (144 citations) and Cancer Research (61 citations). Xinni Song has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Lise Paquet, Shailendra Verma, Mark Clemons, Barbara Collins, Susan Dent, S. Gertler, Paul Wheatley‐Price, Cheryl Harris, Patricia A. Poulin and John Kowal. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Cancer 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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