Xiaoli Feng

2.6k total citations
44 papers, 1.4k citations indexed

About

Xiaoli Feng is a scholar working on Oncology, Behavioral Neuroscience and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xiaoli Feng has authored 44 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Oncology, 12 papers in Behavioral Neuroscience and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xiaoli Feng's work include Stress Responses and Cortisol (12 papers), Lung Cancer Treatments and Mutations (8 papers) and Cancer Immunotherapy and Biomarkers (7 papers). Xiaoli Feng is often cited by papers focused on Stress Responses and Cortisol (12 papers), Lung Cancer Treatments and Mutations (8 papers) and Cancer Immunotherapy and Biomarkers (7 papers). Xiaoli Feng collaborates with scholars based in China, United States and Hong Kong. Xiaoli Feng's co-authors include Jie He, Xintian Hu, Dongdong Qin, Shangchuan Yang, Nan Sun, Sufei Zheng, Chengming Liu, Xin‐Feng Wang, Yan Wang and Haiyan Xu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cancer Cell and Cancer Research.

In The Last Decade

Xiaoli Feng

42 papers receiving 1.4k citations

Peers

Xiaoli Feng
Comparison fields: 5 of 114
  • Molecular Biology 492
  • Oncology 457
  • Cancer Research 387
  • Pulmonary and Respiratory Medicine 324
  • Behavioral Neuroscience 175
Replace Maria Sąsiadek with:
Maria Sąsiadek Poland
Matthew A. Pimentel United States
Hongli Sun China
Kathleen M. Kokolus United States
Anna Dvorkin‐Gheva Canada
Bertha Delgado Israel
Enrrico Bloise Brazil
Tomasz K. Wojdacz Denmark
John M. Busillo United States
Jelena Knežević Croatia
Maria Sąsiadek Poland View profile →
Citations per field, relative to Xiaoli Feng
Xiaoli Feng · 1×
Citations per year, relative to Xiaoli Feng
Xiaoli Feng · 1×

Countries citing papers authored by Xiaoli Feng

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoli Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoli Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoli Feng. A scholar is included among the top collaborators of Xiaoli 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 Xiaoli Feng. Xiaoli 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 0
2 2
3 2
4 1
5 1
6 55
7 99
8 45
9 9
10 42
11 43
12 3
13 21
14 15
15 25
16 47
17 89
18 27
19 10
20 290

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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