Dongling Wu

1.7k total citations
16 papers, 280 citations indexed

About

Dongling Wu is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Dongling Wu has authored 16 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Dongling Wu's work include Cancer Immunotherapy and Biomarkers (3 papers), Breast Lesions and Carcinomas (3 papers) and Cancer Cells and Metastasis (2 papers). Dongling Wu is often cited by papers focused on Cancer Immunotherapy and Biomarkers (3 papers), Breast Lesions and Carcinomas (3 papers) and Cancer Cells and Metastasis (2 papers). Dongling Wu collaborates with scholars based in United States and China. Dongling Wu's co-authors include Kai Shi, Chong Zhang, Lihuang Zhang, Dayong Zhang, Jianping Pan, Mengmeng Shi, Junbo Wang, Yu Pan, Shanshan Yu and Bing‐Xi Yan and has published in prestigious journals such as Scientific Reports, Molecular and Cellular Biochemistry and Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin.

In The Last Decade

Dongling Wu

13 papers receiving 279 citations

Peers

Dongling Wu
Comparison fields: 5 of 72
  • Molecular Biology 116
  • Physiology 113
  • Oncology 55
  • Pulmonary and Respiratory Medicine 53
  • Genetics 42
Bercin Kutluk Cenik United States
Helen Van Miegroet Belgium
Bianca Saveria Fioretto Italy
Ralph P. Schneider Spain
Leslie A. Caromile United States
Sylwia Borkowska United States
Johnathan Ebben United States
Ankit Jambusaria United States
Giulia Coppiello Spain
Jonathan Semo Israel
Bercin Kutluk Cenik United States View profile →
Citations per field, relative to Dongling Wu
Dongling Wu · 1×
Citations per year, relative to Dongling Wu
Dongling Wu · 1×

Countries citing papers authored by Dongling Wu

Since Specialization
Citations

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

Fields of papers citing papers by Dongling Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongling Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Dongling Wu. A scholar is included among the top collaborators of Dongling Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dongling Wu. Dongling Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1 2
2 0
3 0
4 4
5 4
6 0
7 5
8 4
9 7
10 6
11 6
12 1
13 6
14 108
15 1
16 126

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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