Xinwei She

5.2k citations
18 papers · 1.9k · h-index 13

Impact in

  • Genetics top 2%
    • Genomic variations and chromosomal abnormalities
    • Genomics and Rare Diseases
    • Genetic Mapping and Diversity in Plants and Animals
    • Chromosomal and Genetic Variations

Papers in

    • Genomics and Chromatin Dynamics 7
    • Genomics and Phylogenetic Studies 3
    • RNA and protein synthesis mechanisms 3
    • Angiogenesis and VEGF in Cancer 2
    • Chromosomal and Genetic Variations 10

Xinwei She

17 papers receiving 1.8k citations

Peers

Xinwei She
Comparison fields: 5 of 103
  • Genetics 935
  • Plant Science 912
  • Molecular Biology 1.4k
  • Cancer Research 129
  • Aging 12
Replace Bert H.J. Eussen with:
Bert H.J. Eussen Netherlands
Royden A. Clark United States
Dale J. Hedges United States
M. Katharine Rudd United States
Rhea U. Vallente United States
Angela Maria Vianna‐Morgante Brazil
Hideyuki Tanabe Japan
Jeffrey R. MacDonald Canada
Luigi Viggiano Italy
Dale Dorsett United States
Xinwei She relative to Bert H.J. Eussen Netherlands Bert H.J. Eussen's profile →
Citations per field
00.5×2.6×
Bert H.J. Eussen · 1×
Citations per year

Countries citing papers authored by Xinwei She

Since Specialization
Citations

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

Fields of papers citing papers by Xinwei She

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2005287
2 2004247
3 2004175
4 2008173
5 2004154
6 2007145
7 2004139
8 2009120
9 2004119
10 2010110
11 200672
12 200353
13 200653
14 20237
15 20086
16 20152
17 20091
18 20250

About Xinwei She

Xinwei She is a scholar working on Molecular Biology, Plant Science, Genetics, Oncology and Mechanical Engineering, having authored 18 papers that have together received 1.9k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (10 papers), Genomic variations and chromosomal abnormalities (8 papers), Genomics and Chromatin Dynamics (7 papers), Genomics and Phylogenetic Studies (3 papers), RNA and protein synthesis mechanisms (3 papers), Angiogenesis and VEGF in Cancer (2 papers), Aluminum Alloys Composites Properties (2 papers) and Advanced Welding Techniques Analysis (2 papers). The work is most often cited by research in Genetics (935 citations), Plant Science (912 citations), Molecular Biology (1.4k citations), Cancer Research (129 citations) and Aging (12 citations). Xinwei She has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Evan E. Eichler, Ze Cheng, Deanna M. Church, Royden A. Clark, Mario Ventura, Mariano Rocchi, Zhaoshi Jiang, Philipp Khaitovich, Svante Pääbo and Maria Francesca Cardone. Their work appears in journals such as Genome Research, Nature, Nature Genetics, BMC Genomics and Journal of Alloys and Compounds.

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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