Ran Wei

2.2k citations
72 papers · 1.5k · h-index 20

Impact in

  • Immunology top 10%
    • Immune cells in cancer
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
  • Oncology top 10%
    • Pancreatic and Hepatic Oncology Research

Papers in

Ran Wei

67 papers receiving 1.5k citations

Peers

Ran Wei
Comparison fields: 5 of 111
  • Immunology 379
  • Oncology 310
  • Cancer Research 169
  • Infectious Diseases 129
  • Molecular Biology 413
Replace Camille Boulagnon‐Rombi with:
Camille Boulagnon‐Rombi France
Xin Lu China
Hui Liu China
Akiko M. Saito Japan
Anmei Deng China
Kathrin Scheckenbach Germany
Istvan T. Valyi-Nagy Hungary
Johan Hansson Sweden
Shanglong Liu China
Dawei Zhang China
Ran Wei relative to Camille Boulagnon‐Rombi France Camille Boulagnon‐Rombi's profile →
Citations per field
00.5×1.5×2.1×
Camille Boulagnon‐Rombi · 1×
Citations per year

Countries citing papers authored by Ran Wei

Since Specialization
Citations

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

Fields of papers citing papers by Ran Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020299
2 2021159
3 201581
4 201971
5 202063
6 201360
7 201951
8 201942
9 202242
10 202237
11 201836
12 201534
13 202031
14 202131
15 202126
16 202125
17 202123
18 201223
19 201722
20 201122

About Ran Wei

Ran Wei is a scholar working on Oncology, Cancer Research, Molecular Biology, Immunology and Endocrinology, Diabetes and Metabolism, having authored 72 papers that have together received 1.5k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (7 papers), Pancreatic and Hepatic Oncology Research (6 papers), Ferroptosis and cancer prognosis (6 papers), RNA modifications and cancer (5 papers), Cancer Genomics and Diagnostics (4 papers), Immune cells in cancer (4 papers), Ubiquitin and proteasome pathways (4 papers) and interferon and immune responses (4 papers). The work is most often cited by research in Immunology (379 citations), Oncology (310 citations), Cancer Research (169 citations), Infectious Diseases (129 citations) and Molecular Biology (413 citations). Ran Wei has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Ming Lü, Jin-Hong Chen, Zhifei Lin, Haoting Sun, Lun–Xiu Qin, Luyu Yang, Chaoqun Wang, Jubo Zhang, Qin Luo and Hu‐Liang Jia. Their work appears in journals such as European Journal of Medicinal Chemistry, Scientific Reports, Oncotarget, International Immunopharmacology and Frontiers in Pharmacology.

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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