Xie Tang

1.0k citations
15 papers · 850 · h-index 14

Impact in

    • Microtubule and mitosis dynamics
    • Cellular transport and secretion
    • Fungal and yeast genetics research
    • Genomics and Chromatin Dynamics
    • Plant Reproductive Biology

Papers in

    • Fungal and yeast genetics research 10
    • Plant Reproductive Biology 2
    • Genomics and Chromatin Dynamics 2
    • CRISPR and Genetic Engineering 2
    • Microtubule and mitosis dynamics 4

Xie Tang

15 papers receiving 837 citations

Peers

Xie Tang
Comparison fields: 5 of 70
  • Cell Biology 433
  • Molecular Biology 702
  • Aging 12
  • Cellular and Molecular Neuroscience 97
  • Plant Science 195
Replace Joseph E. Zahner with:
Joseph E. Zahner United States
Jim Karagiannis Canada
Ting Gang Chew Singapore
Masayuki Iwase Japan
Alvin Yu Jin Ng Singapore
Xiang‐Dong Gao China
S. E. Cheperegin Russia
Hajime Murakami Japan
Brinda Govindan United States
Masayo Morishita Japan
Xie Tang relative to Joseph E. Zahner United States Joseph E. Zahner's profile →
Citations per field
00.5×10.7×
Joseph E. Zahner · 1×
Citations per year

Countries citing papers authored by Xie Tang

Since Specialization
Citations

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

Fields of papers citing papers by Xie Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2002152
2 2005103
3 200083
4 200282
5 201275
6 201161
7 200060
8 201157
9 200351
10 202134
11 200627
12 199926
13 201020
14 202413
15 20136

About Xie Tang

Xie Tang is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Plant Science, having authored 15 papers that have together received 850 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (10 papers), Microtubule and mitosis dynamics (4 papers), Polysaccharides and Plant Cell Walls (2 papers), Genetic Neurodegenerative Diseases (2 papers), Plant Reproductive Biology (2 papers), Genomics and Chromatin Dynamics (2 papers), Cardiomyopathy and Myosin Studies (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Cell Biology (433 citations), Molecular Biology (702 citations), Aging (12 citations), Cellular and Molecular Neuroscience (97 citations) and Plant Science (195 citations). Xie Tang has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Mohan K. Balasubramanian, Hongyan Wang, Jianhua Liu, W. Zacheus Cande, Naweed I. Naqvi, Dannel McCollum, David Balasundaram, Susanne Trautmann, Kelvin Wong and Anup Padmanabhan. Their work appears in journals such as Current Biology, The Journal of Cell Biology, Genetics, Molecular Biology of the Cell and Nature Cell 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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