Xiaoying Lin

21.7k total citations
7 papers, 373 citations indexed

About

Xiaoying Lin is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Xiaoying Lin has authored 7 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Plant Science and 2 papers in Cancer Research. Recurrent topics in Xiaoying Lin's work include Chromosomal and Genetic Variations (3 papers), Plant Virus Research Studies (2 papers) and Advanced Optical Network Technologies (1 paper). Xiaoying Lin is often cited by papers focused on Chromosomal and Genetic Variations (3 papers), Plant Virus Research Studies (2 papers) and Advanced Optical Network Technologies (1 paper). Xiaoying Lin collaborates with scholars based in China, United States and United Kingdom. Xiaoying Lin's co-authors include Barbara Harris, Daphne Preuss, Michael Bevan, W. Richard McCombie, Samir Kaul, Gregory P. Copenhaver, Takashi Kuromori, George Murphy, Robert A. Martienssen and Laurence D. Parnell and has published in prestigious journals such as Science, The FASEB Journal and Current Opinion in Plant Biology.

In The Last Decade

Xiaoying Lin

7 papers receiving 363 citations

Peers

Xiaoying Lin
Comparison fields: 5 of 32
  • Plant Science 328
  • Molecular Biology 248
  • Genetics 64
  • Cell Biology 14
  • Ecology, Evolution, Behavior and Systematics 11
Replace Samir Kaul with:
Samir Kaul United States
Richard J. Lawrence United States
Gaetana Cremona Italy
Matthias Benoit United States
Catherine Griffin United Kingdom
Kelsey A. Maher United States
Bradley R. Dotson Sweden
Gill Harrison United Kingdom
Iulian Gabur Germany
Senlin Xiao China
Samir Kaul United States View profile →
Citations per field, relative to Xiaoying Lin
Xiaoying Lin · 1×
Citations per year, relative to Xiaoying Lin
Xiaoying Lin · 1×

Countries citing papers authored by Xiaoying Lin

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoying Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoying Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoying Lin. A scholar is included among the top collaborators of Xiaoying Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaoying Lin. Xiaoying Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
# Work Indexed citations
1 2
2 3
3 2
4
Genetic Definition and Sequence Analysis of
1
5 340
6 16
7 9

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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