Melissa D. Lehti‐Shiu

4.7k citations
23 papers · 2.9k indexed · 1 hit paper · h-index 17
Topics
Chromosomal and Genetic Variations (7 papers)Plant Molecular Biology Research (7 papers)Plant Gene Expression Analysis (6 papers)
Partner nations
United StatesChinaJapan

In The Last Decade

Melissa D. Lehti‐Shiu

22 papers receiving 2.9k citations

Hit Papers

Evolution of Gene Duplication in Plants201620262019202220162505007501000

Peers

Melissa D. Lehti‐Shiu
Comparison fields: 5 of 91
  • Plant Science 2.2k
  • Molecular Biology 2.0k
  • Genetics 241
  • Ecology, Evolution, Behavior and Systematics 174
  • Cell Biology 82
Replace Takashi Akagi with:
Takashi Akagi Japan
Aiping Song China
Fengning Xiang China
Andrew Baumgarten United States
Genji Qin China
Takuji Wada Japan
Xingliang Hou China
Richard Macknight New Zealand
Hengyu Yan China
Magdalena Rossi Brazil
Melissa D. Lehti‐Shiu relative to Takashi Akagi Japan Takashi Akagi's profile →
Citations per field
00.5×
Takashi Akagi · 1×
Citations per year

Countries citing papers authored by Melissa D. Lehti‐Shiu

Since Specialization
Citations

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

Fields of papers citing papers by Melissa D. Lehti‐Shiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Melissa D. Lehti‐Shiu. 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 Melissa D. Lehti‐Shiu. The network helps show where Melissa D. Lehti‐Shiu may publish in the future.

Co-authorship network of co-authors of Melissa D. Lehti‐Shiu

This figure shows the co-authorship network connecting the top 25 collaborators of Melissa D. Lehti‐Shiu. A scholar is included among the top collaborators of Melissa D. Lehti‐Shiu 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 Melissa D. Lehti‐Shiu. Melissa D. Lehti‐Shiu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 2
3 14
4 0
5 9
6 8
7 19
8 18
9 82
10
Evolution of Gene Duplication in Plantsbreakdown →
1075
11 35
12 90
13 28
14 99
15 101
16 308
17 397
18 187
19 60
20 49

About Melissa D. Lehti‐Shiu

Melissa D. Lehti‐Shiu is a scholar working on Plant Science, Ecological Modeling and Genetics, having authored 23 papers that have together received 2.9k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (7 papers), Plant Molecular Biology Research (7 papers) and Plant Gene Expression Analysis (6 papers). The work is most often cited by research in Plant Science (2.2k citations), Molecular Biology (2.0k citations) and Horticulture (27 citations). Melissa D. Lehti‐Shiu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Shin‐Han Shiu, Nicholas Panchy, Cheng Zou, Kousuke Hanada, Donna E. Fernandez, Kazuo Shinozaki, Peipei Wang, Sahra Uygun, Michael F. Thomashow and Bethany M. Moore. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLANT PHYSIOLOGY.

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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