Tao Sang

10.5k citations
47 papers · 6.3k indexed · 4 hit papers · h-index 30

Tao Sang

46 papers receiving 6.0k citations

Hit Papers

High-throughput genotyping by whole-genome rese...64619952026200520154008001.2k

Peers

Tao Sang
Comparison fields: 5 of 101
  • Ecology, Evolution, Behavior and Systematics 2.2k
  • Plant Science 4.1k
  • Genetics 2.8k
  • Molecular Biology 2.8k
  • Horticulture 28
Replace Song Ge with:
Song Ge China
Norman J. Wickett United States
Frank R. Blattner Germany
Michael S. Barker United States
Martin A. Lysák Czechia
Kenneth M. Olsen United States
Martin F. Wojciechowski United States
Ting‐Shuang Yi China
Andrea D. Wolfe United States
Kurt Weising Germany
Tao Sang relative to Song Ge China Song Ge's profile →
Citations per field
00.5×1.5×
Song Ge · 1×
Citations per year

Countries citing papers authored by Tao Sang

Since Specialization
Citations

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

Fields of papers citing papers by Tao Sang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20186
3 201516
4 2013204
5 2012183
6 201227
7
High-throughput genotyping by whole-genome resequencingbreakdown →
2009646
8 200953
9 200869
10 200741
11 2007151
12
Rice Domestication by Reducing Shatteringbreakdown →
2006627
13
Karyotypic Study on Paeonia anomala(Paeoniaceae)
20063
14 2006189
15 200237
16
The current taxonomy and perplexity of the genus Oryza (Poaceae)
200117
17 2000189
18 199779
19
A Review of Current Theories and Methods in Cladistics and a Cladistic Study of Twelve Lindera Species in Eastern China
19962
20
Phylogeny and Biogeography of Paeonia (Paeoniaceae) /
19953

About Tao Sang

Tao Sang is a scholar working on Genetics, Agronomy and Crop Science and Plant Science, having authored 47 papers that have together received 6.3k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (18 papers), Genomics and Phylogenetic Studies (12 papers), GABA and Rice Research (10 papers), Rice Cultivation and Yield Improvement (9 papers), Plant and Fungal Species Descriptions (8 papers), Biofuel production and bioconversion (8 papers), Plant Diversity and Evolution (8 papers) and Genetic diversity and population structure (8 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (2.2k citations), Plant Science (4.1k citations) and Genetics (2.8k citations). Tao Sang has collaborated with scholars based in China, United States and Slovakia. Frequent co-authors include Daniel J. Crawford, Tod F. Stuessy, Song Ge, Changbao Li, Ailing Zhou, Bin Han, David C. Tank, Hong De‐Yuan, Zhong Yang and Bao‐Rong Lu. Their work appears in journals such as American Journal of Botany, Journal of Systematics and Evolution, Systematic Botany, Genome and Molecular Biology and Evolution.

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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