Wei Wei

233 papers receiving 5.4k citations

Wei Wei's Hit Papers

Systematic analysis of telomere length and somatic alterations in 31 cancer types 2017 · 425 citations
4250+6+13Years since publication200400600

Peers

Wei Wei
Comparison fields: 5 of 129
  • Oncology 1.3k
  • Cancer Research 709
  • Dermatology 363
  • Pulmonary and Respiratory Medicine 1.1k
  • Pathology and Forensic Medicine 606
Replace Nicolas Magné with:
Nicolas Magné France
Marcella M. Johnson United States
Ashley E. Winkler United States
Karl C. Podratz United States
Eric Winquist Canada
Arnold M. Markoe United States
Aristotelis Bamias Greece
Keun‐Wook Lee South Korea
George Fountzilas Greece
Brian N. Bundy United States
Wei Wei relative to Nicolas Magné France Nicolas Magné's profile →
Citations per field
00.5×1.5×
Nicolas Magné · 1×
Citations per year

Countries citing papers authored by Wei Wei

Since Specialization
Citations

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

Fields of papers citing papers by Wei Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 254 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Metastatic patterns in adenocarcinoma
Hit paper breakdown →
2006655
2
Systematic analysis of telomere length and somatic alterations in 31 cancer types
Hit paper breakdown →
2017425
3 2019222
4 2012209
5 2014176
6 2010139
7 2007131
8 2012118
9 2010114
10 201590
11 201487
12 202187
13 201681
14 201868
15 200860
16 201554
17 201554
18 201149
19 201548
20 201146

About Wei Wei

Wei Wei is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Cancer Research and Surgery, having authored 254 papers that have together received 5.4k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (26 papers), MRI in cancer diagnosis (23 papers), Cancer Immunotherapy and Biomarkers (18 papers), Breast Lesions and Carcinomas (14 papers), Glioma Diagnosis and Treatment (14 papers), Brain Metastases and Treatment (13 papers), Lung Cancer Treatments and Mutations (11 papers) and Prostate Cancer Diagnosis and Treatment (10 papers). The work is most often cited by research in Oncology (1.3k citations), Cancer Research (709 citations), Dermatology (363 citations), Pulmonary and Respiratory Medicine (1.1k citations) and Pathology and Forensic Medicine (606 citations). Wei Wei has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include James L. Abbruzzese, Kenneth R. Hess, Sarah Taylor, Martin N. Raber, Gauri R. Varadhachary, Renato Lenzi, Vikas Kundra, Brian P. Hobbs, Cher Heng Tan and Chaan S. Ng. Their work appears in journals such as Journal of Clinical Oncology, American Journal of Roentgenology, Blood, Journal of Computer Assisted Tomography and Annals of Surgical Oncology.

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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