Qingding Wang

1.9k citations
45 papers · 1.6k indexed · h-index 23

Qingding Wang

43 papers receiving 1.5k citations

Peers

Qingding Wang
Comparison fields: 5 of 95
  • Cancer Research 290
  • Molecular Biology 965
  • Oncology 342
  • Immunology 227
  • Molecular Medicine 49
Replace Arumugam Nagalingam with:
Arumugam Nagalingam United States
Andrew M. Fribley United States
Shane Scoggin United States
Linda Connelly United States
Tatyana A. Zykova United States
Yueh‐Min Lin Taiwan
Partha P. Banerjee United States
Abhinav K. Jain United States
Osman Nidai Özeş United States
Richard M. Niles United States
Qingding Wang relative to Arumugam Nagalingam United States Arumugam Nagalingam's profile →
Citations per field
00.5×2.6×
Arumugam Nagalingam · 1×
Citations per year

Countries citing papers authored by Qingding Wang

Since Specialization
Citations

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

Fields of papers citing papers by Qingding Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 202416
4 20243
5 20245
6 20247
7 202314
8 202115
9 202126
10 202042
11 201862
12 201217
13 201243
14 201117
15 200629
16 200526
17 200413
18 200470
19 2002113
20 200092

About Qingding Wang

Qingding Wang is a scholar working on Geriatrics and Gerontology, Cancer Research, Molecular Medicine, Oncology and Molecular Biology, having authored 45 papers that have together received 1.6k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (9 papers), Cell death mechanisms and regulation (8 papers), Cancer-related Molecular Pathways (5 papers), Microencapsulation and Drying Processes (5 papers), NF-κB Signaling Pathways (5 papers), Proteins in Food Systems (4 papers), Digestive system and related health (4 papers) and Signaling Pathways in Disease (4 papers). The work is most often cited by research in Cancer Research (290 citations), Molecular Biology (965 citations), Oncology (342 citations), Immunology (227 citations) and Molecular Medicine (49 citations). Qingding Wang has collaborated with scholars based in United States, China and Czechia. Frequent co-authors include B. Mark Evers, Xiaofu Wang, Yuning Zhou, Dai H. Chung, Heidi L. Weiss, Piotr Rychahou, Kirk L. Ives, Yanshan Ji, Sung‐Hoon Kim and Lindsey N. Jackson. Their work appears in journals such as Gastroenterology, International Journal of Biological Macromolecules, Biochemical and Biophysical Research Communications, Molecular Biology of the Cell and Cancer Research.

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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