Chen Mei

56 papers receiving 3.0k citations

Hit Papers

Pembrolizumab plus axitinib versus sunitinib monotherapy as first-line treatment of advanced renal cell carcinoma (KEYNOTE-426): extended follow-up from a randomised, open-label, phase 3 trial 2020 · 498 citations
4980+5+10Years since publication50010001.5k

Peers

Chen Mei
Comparison fields: 5 of 105
  • Cancer Research 1.0k
  • Pulmonary and Respiratory Medicine 2.2k
  • Oncology 1.2k
  • Hematology 266
  • Molecular Biology 1.6k
Replace Lauren McCann with:
Lauren McCann United States
Jamal Tarazi United States
Zoran Kovačević Serbia
Yazdi K. Pithavala United States
Neeraj Agarwal United States
Pamela Salman Chile
Eunsik Lee South Korea
Antoine Thiery-Vuillemin France
Brigitte Laguerre France
Roberto Iacovelli Italy
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Citations per field
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Citations per year

Countries citing papers authored by Chen Mei

Since Specialization
Citations

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

Fields of papers citing papers by Chen Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Pazopanib in Locally Advanced or Metastatic Renal Cell Carcinoma: Results of a Randomized Phase III Trial
Hit paper breakdown →
20101940
2
Pembrolizumab plus axitinib versus sunitinib monotherapy as first-line treatment of advanced renal cell carcinoma (KEYNOTE-426): extended follow-up from a randomised, open-label, phase 3 trial
Hit paper breakdown →
2020498
3 201986
4 200469
5 201047
6 202046
7 201545
8 201437
9 201929
10 202219
11 201718
12 201617
13 201817
14 202416
15 201613
16 202112
17
Impact of mutational variant allele frequency on prognosis in myelodysplastic syndromes.
202011
18 20189
19 20248
20 20237

About Chen Mei

Chen Mei is a scholar working on Hematology, Pulmonary and Respiratory Medicine, Molecular Biology, Oncology and Genetics, having authored 62 papers that have together received 3.0k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (22 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (8 papers), Chronic Myeloid Leukemia Treatments (5 papers), Renal cell carcinoma treatment (4 papers), Cancer Genomics and Diagnostics (4 papers), Vascular Tumors and Angiosarcomas (4 papers), Hematological disorders and diagnostics (4 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Cancer Research (1.0k citations), Pulmonary and Respiratory Medicine (2.2k citations), Oncology (1.2k citations), Hematology (266 citations) and Molecular Biology (1.6k citations). Chen Mei has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Lini Pandite, Cora N. Sternberg, Cezary Szczylik, Debasish Roychowdhury, Juan José Zarbá, Pamela Salman, Carlos H. Barrios, Robert E. Hawkins, Eunsik Lee and Alexander Kavina. Their work appears in journals such as Journal of Clinical Oncology, Blood, Hematological Oncology, Scientific Reports and Blood Cells Molecules and Diseases.

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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