Xueming Tang

2.1k citations
64 papers · 1.8k · h-index 25

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
  • Toxicology top 5%

Papers in

    • Retinoids in leukemia and cellular processes 8
    • CRISPR and Genetic Engineering 5
    • Insect Resistance and Genetics 4
    • Epigenetics and DNA Methylation 3
    • Surfactants and Colloidal Systems 5

Xueming Tang

63 papers receiving 1.7k citations

Peers

Xueming Tang
Comparison fields: 5 of 125
  • Aging 75
  • Toxicology 68
  • Molecular Biology 934
  • Reproductive Medicine 102
  • Organic Chemistry 282
Replace H. Inoue with:
H. Inoue Japan
Ya Wang China
Venkat N. Reddy United States
Marcia L. Walsh United States
Mary F. Lopez United States
Kazuhiro Yamada Japan
Sanetaka Shirahata Japan
Yoke W. Kow United States
Giorgio Arrigoni Italy
Gerd Birkenmeier Germany
Xueming Tang relative to H. Inoue Japan H. Inoue's profile →
Citations per field
00.5×5×10×15×18×
H. Inoue · 1×
Citations per year

Countries citing papers authored by Xueming Tang

Since Specialization
Citations

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

Fields of papers citing papers by Xueming Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014160
2 2020157
3 1996155
4 2004140
5 198286
6 200277
7 202266
8 200466
9 201460
10 198658
11 199755
12 199954
13 201753
14 199747
15 199844
16 201538
17 201937
18 202031
19 199431
20 200231

About Xueming Tang

Xueming Tang is a scholar working on Molecular Biology, Organic Chemistry, Surgery, Plant Science and Biomedical Engineering, having authored 64 papers that have together received 1.8k indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (8 papers), Surfactants and Colloidal Systems (5 papers), CRISPR and Genetic Engineering (5 papers), Insect Resistance and Genetics (4 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Epigenetics and DNA Methylation (3 papers), Bioactive Compounds and Antitumor Agents (3 papers) and Biosensors and Analytical Detection (2 papers). The work is most often cited by research in Aging (75 citations), Toxicology (68 citations), Molecular Biology (934 citations), Reproductive Medicine (102 citations) and Organic Chemistry (282 citations). Xueming Tang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ronald G. Larson, Peter H. Koenig, Y. Clermont, Jing Yi, Tina L. Tinley, Guy M. Benian, Mark Borodovsky, M. Lalli, Jinbin Wang and Jie Yang. Their work appears in journals such as The Journal of Physical Chemistry B, Journal of Materials Chemistry A, World Journal of Gastroenterology, Journal of AOAC International and Journal of Andrology.

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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