Xinge Wang

1.1k citations
44 papers · 476 · h-index 12

Impact in

    • Analytical Chemistry and Sensors
    • Immune responses and vaccinations
    • Immune cells in cancer

Papers in

Xinge Wang

40 papers receiving 473 citations

Peers

Xinge Wang
Comparison fields: 5 of 115
  • Bioengineering 32
  • Immunology 77
  • Neurology 27
  • Aging 5
  • Cancer Research 36
Replace Theresa M. Curtis with:
Theresa M. Curtis United States
Kaiyue Yang China
Aleta Pupovac Australia
Rongjie Wu China
Joachim Luginbühl Switzerland
Julia Rogal Germany
Chuanyu Liu China
P. V. Crespo Spain
Dai Kitagawa Japan
Zhijun He China
Xinge Wang relative to Theresa M. Curtis United States Theresa M. Curtis's profile →
Citations per field
00.5×10×20×32.2×
Theresa M. Curtis · 1×
Citations per year

Countries citing papers authored by Xinge Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xinge Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202165
2 202347
3 202341
4 202237
5 202231
6 202327
7 202324
8 202220
9 202219
10 202517
11 201717
12 202415
13 202310
14
Analysis of coal-fired boiler slagging of 1 000MW ultra-supercritical units
20089
15 20239
16 20249
17 20229
18 20248
19 20228
20 20257

About Xinge Wang

Xinge Wang is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Immunology, Global and Planetary Change and Surgery, having authored 44 papers that have together received 476 indexed citations. Recurring topics across this work include Amphibian and Reptile Biology (4 papers), Gas Sensing Nanomaterials and Sensors (4 papers), Occupational Health and Safety Research (3 papers), Advanced Chemical Sensor Technologies (3 papers), Underwater Vehicles and Communication Systems (2 papers), Single-cell and spatial transcriptomics (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Bioengineering (32 citations), Immunology (77 citations), Neurology (27 citations), Aging (5 citations) and Cancer Research (36 citations). Xinge Wang has collaborated with scholars based in China, United States and Vietnam. Frequent co-authors include Jalees Rehman, Mark A. Sanborn, Wei Li, Qi Zhou, Xukun Wang, Yang Dai, Yangcan Chen, Mark Maienschein‐Cline, Yanping Hu and Ning Yang. Their work appears in journals such as Sensors and Actuators B Chemical, JCI Insight, Journal of Ethnopharmacology, Nature Communications and Archives of Oral Biology.

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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