Wanglong Deng

723 citations
29 papers · 347 · h-index 9

Impact in

Papers in

Wanglong Deng

24 papers receiving 343 citations

Peers

Wanglong Deng
Comparison fields: 5 of 61
  • Cancer Research 119
  • Pathology and Forensic Medicine 86
  • Oncology 110
  • Aging 4
  • Endocrinology, Diabetes and Metabolism 37
Replace Eun Mi Je with:
Eun Mi Je South Korea
Wenchen Gong China
Choong Chin Liew United States
Daniel Kerr United States
Chiara Pesenti Italy
Marion Chapellier France
Oliver Zschenker Germany
J Sandle United Kingdom
Yvonne Horneffer United States
Wanglong Deng relative to Eun Mi Je South Korea Eun Mi Je's profile →
Citations per field
00.5×6.7×
Eun Mi Je · 1×
Citations per year

Countries citing papers authored by Wanglong Deng

Since Specialization
Citations

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

Fields of papers citing papers by Wanglong Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201794
2 202045
3 201542
4 201738
5 201028
6 201728
7 202320
8 201711
9 20228
10 20226
11 20225
12 20233
13 20183
14 20173
15 20213
16 20252
17 20221
18 20231
19 20201
20 20221

About Wanglong Deng

Wanglong Deng is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Oncology and Pathology and Forensic Medicine, having authored 29 papers that have together received 347 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (4 papers), Colorectal Cancer Treatments and Studies (3 papers), Cancer Genomics and Diagnostics (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Lung Cancer Treatments and Mutations (3 papers), RNA modifications and cancer (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Cancer Research (119 citations), Pathology and Forensic Medicine (86 citations), Oncology (110 citations), Aging (4 citations) and Endocrinology, Diabetes and Metabolism (37 citations). Wanglong Deng has collaborated with scholars based in China and United States. Frequent co-authors include Chengde Wang, Yang Liu, Chenglin Liu, Chenhan Zhong, Lizhen Zhu, Yanqin Huang, Dong Xu, Ying Yuan, Jinghong Xu and Xuefeng Fang. Their work appears in journals such as Journal of Clinical Oncology, Frontiers of Medicine, Oncotarget, Infection and Drug Resistance and Nature Communications.

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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