Xueping Fang

1.9k citations
22 papers · 1.3k indexed · 1 hit paper · h-index 15

Xueping Fang

22 papers receiving 1.3k citations

Hit Papers

Control of the senescence-associated secretory phenotype ...7572011202620162021250500750

Peers

Xueping Fang
Comparison fields: 5 of 96
  • Aging 56
  • Physiology 430
  • Immunology 295
  • Cancer Research 201
  • Spectroscopy 217
Replace Guanjun Wang with:
Guanjun Wang China
Edward L. LaGory United States
Fernando Jose Garcia-Marques United States
Richard Wassell United States
Barbara Pascucci Italy
Minerva Fernandez Denmark
Johann S. Bergholz United States
Alpaslan Tasdogan Germany
Ronald C. Hendrickson United States
Elena Favaro Italy
Xueping Fang relative to Guanjun Wang China Guanjun Wang's profile →
Citations per field
00.5×11.4×
Guanjun Wang · 1×
Citations per year

Countries citing papers authored by Xueping Fang

Since Specialization
Citations

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

Fields of papers citing papers by Xueping Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20139
2 201319
3 201226
4 20121
5 201227
6 201214
7
Control of the senescence-associated secretory phenotype by NF-κB promotes senescence and enhances chemosensitivitybreakdown →
2011757
8 201017
9 201070
10 201017
11 200924
12 200926
13 200958
14 20099
15 20089
16 20081
17 200828
18 200820
19 200711
20 200759

About Xueping Fang

Xueping Fang is a scholar working on Spectroscopy, Developmental Neuroscience and Oncology, having authored 22 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (10 papers), Mass Spectrometry Techniques and Applications (7 papers), Molecular Biology Techniques and Applications (3 papers), Cancer Diagnosis and Treatment (2 papers), Sarcoma Diagnosis and Treatment (2 papers), Advanced Biosensing Techniques and Applications (2 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers) and Biosensors and Analytical Detection (2 papers). The work is most often cited by research in Aging (56 citations), Physiology (430 citations) and Immunology (295 citations). Xueping Fang has collaborated with scholars based in United States, China and Norway. Frequent co-authors include Cheng S. Lee, Brian M. Balgley, Agustin Chicas, Scott W. Lowe, Jessica E. Bolden, Claudio Scuoppo, Prem K. Premsrirut, Yuchen Chien, Xiaowo Wang and Weijun Luo. Their work appears in journals such as Genes & Development, PLoS ONE and Analytical Chemistry.

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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