Cong Xu

43 papers receiving 853 citations

Cong Xu's Hit Papers

Ononin inhibits triple-negative breast cancer lung metastasis by targeting the EGFR-mediated PI3K/Akt/mTOR pathway 2024 · 70 citations
700+1+2Years since publication255075100

Peers

Cong Xu
Comparison fields: 5 of 110
  • Urology 97
  • Health Informatics 15
  • Radiology, Nuclear Medicine and Imaging 163
  • Cancer Research 99
  • Applied Microbiology and Biotechnology 13
Replace Philipp Baumeister with:
Philipp Baumeister Germany
Alfredo Maria Bove Italy
Lin Hao China
Justyna Szumiło Poland
Xiaolong Wang China
Yan-qun Na China
Haitao Chen China
İpek Işık Gönül Türkiye
Satoru Muto Japan
Hanyu Zhu China
Cong Xu relative to Philipp Baumeister Germany Philipp Baumeister's profile →
Citations per field
00.5×6.5×
Philipp Baumeister · 1×
Citations per year

Countries citing papers authored by Cong Xu

Since Specialization
Citations

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

Fields of papers citing papers by Cong Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Using patient-derived organoids to predict locally advanced or metastatic lung cancer tumor response: A real-world study
Hit paper breakdown →
2023110
2 200189
3
Ononin inhibits triple-negative breast cancer lung metastasis by targeting the EGFR-mediated PI3K/Akt/mTOR pathway
Hit paper breakdown →
202470
4 202269
5 200164
6 201745
7 199437
8 202035
9 201829
10 202229
11 202323
12 202222
13 202221
14 201819
15 202017
16 202413
17 202313
18 202113
19 201913
20 202312

About Cong Xu

Cong Xu is a scholar working on Oncology, Surgery, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 45 papers that have together received 858 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), Medical Imaging Techniques and Applications (4 papers), AI in cancer detection (4 papers), Cancer Cells and Metastasis (3 papers), Advanced X-ray and CT Imaging (3 papers), Neutropenia and Cancer Infections (3 papers), Bacterial Identification and Susceptibility Testing (3 papers) and Antibiotic Resistance in Bacteria (3 papers). The work is most often cited by research in Urology (97 citations), Health Informatics (15 citations), Radiology, Nuclear Medicine and Imaging (163 citations), Cancer Research (99 citations) and Applied Microbiology and Biotechnology (13 citations). Cong Xu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Tung‐Tien Sun, Ge Zhou, Roland Moll, Fang‐Ming Deng, Feng‐Xia Liang, Xiang‐Peng Kong, Hongyan Xiong, Ning Mao, Kumar Ganesan and Jianping Chen. Their work appears in journals such as Infection and Drug Resistance, Biochemical Journal, Frontiers in Oncology, Advanced Materials and International Journal of Surgery.

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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