Tongdan Wang

503 citations
21 papers · 392 · h-index 12

Impact in

Papers in

    • Ubiquitin and proteasome pathways 4
    • Signaling Pathways in Disease 2
    • Advanced biosensing and bioanalysis techniques 2
    • Chronic Kidney Disease and Diabetes 3

Tongdan Wang

21 papers receiving 390 citations

Peers

Tongdan Wang
Comparison fields: 5 of 72
  • Nephrology 29
  • Molecular Biology 242
  • Cancer Research 37
  • Oncology 64
  • Biochemistry 16
Replace Ben Lv with:
Ben Lv China
Sijia Yu China
Eiji Hishinuma Japan
Harilal Patel India
Sun Young Kim South Korea
Ahmed Mohamed Australia
Mei Su China
Ye Shang China
Jochen Hochrein Germany
Guo Li China
Tongdan Wang relative to Ben Lv China Ben Lv's profile →
Citations per field
00.5×1.5×2.4×
Ben Lv · 1×
Citations per year

Countries citing papers authored by Tongdan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Tongdan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201459
2 200756
3 201646
4 201233
5 200925
6 201425
7 201719
8 201519
9 202117
10 202216
11 201515
12 201413
13 202410
14 20138
15 20246
16 20146
17 20136
18 20245
19 20133
20 20243

About Tongdan Wang

Tongdan Wang is a scholar working on Molecular Biology, Nephrology, Surgery, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 21 papers that have together received 392 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (4 papers), Diabetes Treatment and Management (3 papers), Chronic Kidney Disease and Diabetes (3 papers), Pancreatic function and diabetes (2 papers), Signaling Pathways in Disease (2 papers), Electrochemical sensors and biosensors (2 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Nephrology (29 citations), Molecular Biology (242 citations), Cancer Research (37 citations), Oncology (64 citations) and Biochemistry (16 citations). Tongdan Wang has collaborated with scholars based in China, New Zealand and United States. Frequent co-authors include Jingwu Kang, Yingli Wu, Hanzhang Xu, Xia Li, Li‐Shun Wang, Guoqiang Chen, Chunmin Ma, Hu Lei, Qianqian Zhang and Jian Zhang. Their work appears in journals such as Journal of Proteome Research, Electrophoresis, Frontiers in Endocrinology, Oncotarget and Journal of Chromatography A.

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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