Xinge Wang

1.0k citations
44 papers · 410 · h-index 11

Impact in

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

Papers in

Xinge Wang

36 papers receiving 404 citations

Peers

Xinge Wang
Comparison fields: 5 of 114
  • Bioengineering 30
  • Immunology 72
  • Neurology 25
  • Aging 5
  • Cancer Research 40
Replace Theresa M. Curtis with:
Theresa M. Curtis United States
Aleta Pupovac Australia
Chuanyu Liu China
Benjamin M. Manning United States
P. V. Crespo Spain
Yingxun Liu China
Xinjun He China
Ruiqi Han China
Feyisayo Eweje United States
Jacqueline Ross New Zealand
Xinge Wang relative to Theresa M. Curtis United States Theresa M. Curtis's profile →
Citations per field
00.5×10×20×26.7×
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 202159
2 202340
3 202236
4 202330
5 202229
6 202326
7 202321
8 202219
9 202219
10 201717
11 202411
12 202310
13 20259
14
Analysis of coal-fired boiler slagging of 1 000MW ultra-supercritical units
20089
15 20229
16 20237
17 20247
18 20226
19 20245
20 20154

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 410 indexed citations. Recurring topics across this work include Gas Sensing Nanomaterials and Sensors (4 papers), Amphibian and Reptile Biology (4 papers), CRISPR and Genetic Engineering (3 papers), Advanced Chemical Sensor Technologies (3 papers), Occupational Health and Safety Research (3 papers), Neuroscience and Neural Engineering (2 papers), Advanced Algorithms and Applications (2 papers) and Traffic and Road Safety (2 papers). The work is most often cited by research in Bioengineering (30 citations), Immunology (72 citations), Neurology (25 citations), Aging (5 citations) and Cancer Research (40 citations). Xinge Wang has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Jalees Rehman, Mark A. Sanborn, Yangcan Chen, Haiqing Jiang, Xukun Wang, Erqing Xie, Wei Li, Ning Yang, Mark Maienschein‐Cline and Guo Liu. Their work appears in journals such as Sensors and Actuators B Chemical, Nature Communications, Journal of Ethnopharmacology, JCI Insight and Frontiers in Microbiology.

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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