Xiaochen Gu

66 papers receiving 2.7k citations

Peers

Xiaochen Gu
Comparison fields: 5 of 148
  • Immunology and Allergy 1.0k
  • Pharmaceutical Science 276
  • Dermatology 378
  • Biomaterials 447
  • Pharmacology 288
Replace Karluss Thomas with:
Karluss Thomas United States
Li‐Chen Chen Taiwan
Nakissa K. Sadrieh United States
Rahul K. Shukla India
Rong Lu China
Ramapuram Jayachandra Babu United States
Chia-Lang Fang Taiwan
Tejal A Mehta India
Monica Argenziano Italy
Lifang Yin China
Xiaochen Gu relative to Karluss Thomas United States Karluss Thomas's profile →
Citations per field
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Citations per year

Countries citing papers authored by Xiaochen Gu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaochen Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001371
2 1998334
3 2015132
4 2001114
5 2014113
6 201897
7 201396
8 200094
9 200292
10 200889
11 201486
12 200075
13 201461
14 200552
15 201750
16 201448
17 201948
18 200147
19 202046
20 201345

About Xiaochen Gu

Xiaochen Gu is a scholar working on Immunology and Allergy, Pharmaceutical Science, Biomaterials, Insect Science and Dermatology, having authored 70 papers that have together received 2.9k indexed citations. Recurring topics across this work include Advancements in Transdermal Drug Delivery (11 papers), Nanoparticle-Based Drug Delivery (9 papers), Food Allergy and Anaphylaxis Research (8 papers), Insect and Pesticide Research (7 papers), Allergic Rhinitis and Sensitization (6 papers), Analytical Methods in Pharmaceuticals (5 papers), Adsorption and biosorption for pollutant removal (5 papers) and Dendrimers and Hyperbranched Polymers (5 papers). The work is most often cited by research in Immunology and Allergy (1.0k citations), Pharmaceutical Science (276 citations), Dermatology (378 citations), Biomaterials (447 citations) and Pharmacology (288 citations). Xiaochen Gu has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Keith J. Simons, F. Estelle R. Simons, F. Estelle R. Simons, Janet R. Roberts, Yanbo Zhou, Jun Lu, Hong Tao Li, Guangji Wang, Shaoping Yin and Robert J. Hardy. Their work appears in journals such as Journal of Allergy and Clinical Immunology, International Journal of Pharmaceutics, Biopharmaceutics & Drug Disposition, ACS Applied Materials & Interfaces and Journal of Pharmaceutical and Biomedical Analysis.

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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