Bing Xia

116 papers receiving 1.8k citations

Peers

Bing Xia
Comparison fields: 5 of 147
  • Cellular and Molecular Neuroscience 369
  • Biomaterials 212
  • Health, Toxicology and Mutagenesis 207
  • Developmental Neuroscience 47
  • Nutrition and Dietetics 152
Replace Natalia V. Dolgova with:
Natalia V. Dolgova United States
Laurel O. Sillerud United States
Z. Shadi Farhangrazi United States
Philippe Lévêque France
Noriyuki Yamamoto Japan
Meredin Stoltenberg Denmark
Stephen J. Karlik Canada
Andrea A. Robitzki Germany
Dongyu Li China
Hiroshi Matsuura Japan
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Citations per field
00.5×4.7×
Natalia V. Dolgova · 1×
Citations per year

Countries citing papers authored by Bing Xia

Since Specialization
Citations

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

Fields of papers citing papers by Bing Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017117
2 201775
3 202071
4 200658
5 202454
6 201653
7 200952
8 200750
9 201450
10 202143
11 201543
12 201242
13 202241
14 202039
15 202036
16 200833
17 201832
18 201531
19 201928
20 201128

About Bing Xia

Bing Xia is a scholar working on Materials Chemistry, Molecular Biology, Aerospace Engineering, Cellular and Molecular Neuroscience and Health, Toxicology and Mutagenesis, having authored 126 papers that have together received 1.8k indexed citations. Recurring topics across this work include Nuclear reactor physics and engineering (19 papers), Nuclear Materials and Properties (16 papers), Nerve injury and regeneration (15 papers), Heavy Metal Exposure and Toxicity (12 papers), Graphite, nuclear technology, radiation studies (10 papers), Trace Elements in Health (9 papers), Neurogenesis and neuroplasticity mechanisms (6 papers) and Lung Cancer Research Studies (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (369 citations), Biomaterials (212 citations), Health, Toxicology and Mutagenesis (207 citations), Developmental Neuroscience (47 citations) and Nutrition and Dietetics (152 citations). Bing Xia has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Jinghui Huang, Teng Ma, Valentine I. Vullev, Zhuojing Luo, Liangliang Huang, Guilford Jones, Jiandi Wan, Caiying Zhang, Huabin Cao and Roy S. Herbst. Their work appears in journals such as Biological Trace Element Research, Progress in Nuclear Energy, Nuclear Engineering and Design, Journal of Clinical Oncology and Scientific Reports.

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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