Ray Ming

29.6k citations
230 papers · 9.9k indexed · 3 hit papers · h-index 48

Ray Ming

223 papers receiving 9.7k citations

Hit Papers

Assembly of allele-aware, chromo...38620082026201420202505007501000

Peers

Ray Ming
Comparison fields: 5 of 135
  • Horticulture 362
  • Plant Science 7.0k
  • Genetics 2.6k
  • Molecular Biology 4.9k
  • Ecology, Evolution, Behavior and Systematics 1.2k
Replace Haibao Tang with:
Haibao Tang United States
Andreas Graner Germany
Ryohei Terauchi Japan
Stephen L. Dellaporta United States
Hilde Nybom Sweden
Antoni Rafalski United States
Robbie Waugh United Kingdom
Abdelhafid Bendahmane France
Steven J. Knapp United States
Ilan Paran Israel
Ray Ming relative to Haibao Tang United States Haibao Tang's profile →
Citations per field
00.5×1.5×1.8×
Haibao Tang · 1×
Citations per year

Countries citing papers authored by Ray Ming

Since Specialization
Citations

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

Fields of papers citing papers by Ray Ming

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20241
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5 20242
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7 20247
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9 20236
10 20235
11 202141
12 202184
13 202042
14 202014
15 202030
16
Sex Determination: Why So Many Ways of Doing It?breakdown →
2014836
17
Improving sugarcane for biofuel: engineering for an even better feedstock
20099
18 2008434
19
Breeding and selection of coffee cultivars for Hawaii with high cupping quality using Mokka hybrids.
20051
20 2004105

About Ray Ming

Ray Ming is a scholar working on Horticulture, Plant Science and Complementary and alternative medicine, having authored 230 papers that have together received 9.9k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (55 papers), Sugarcane Cultivation and Processing (49 papers), Biofuel production and bioconversion (39 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (29 papers), Plant Reproductive Biology (29 papers), Plant Molecular Biology Research (26 papers), Banana Cultivation and Research (23 papers) and Genomics and Phylogenetic Studies (21 papers). The work is most often cited by research in Horticulture (362 citations), Plant Science (7.0k citations) and Genetics (2.6k citations). Ray Ming has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Andrew H. Paterson, Haibao Tang, M. Shahid Alam, Paul H. Moore, John Bowers, Qingyi Yu, Xiyin Wang, Xingtan Zhang, Jisen Zhang and Abdelhafid Bendahmane. Their work appears in journals such as BMC Genomics, Frontiers in Plant Science, The Plant Journal, Euphytica and BMC Plant 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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