Deven R. See

4.0k total citations
83 papers, 2.0k citations indexed

About

Deven R. See is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Deven R. See has authored 83 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Plant Science, 32 papers in Genetics and 17 papers in Molecular Biology. Recurrent topics in Deven R. See's work include Wheat and Barley Genetics and Pathology (74 papers), Genetics and Plant Breeding (33 papers) and Genetic Mapping and Diversity in Plants and Animals (31 papers). Deven R. See is often cited by papers focused on Wheat and Barley Genetics and Pathology (74 papers), Genetics and Plant Breeding (33 papers) and Genetic Mapping and Diversity in Plants and Animals (31 papers). Deven R. See collaborates with scholars based in United States, China and Australia. Deven R. See's co-authors include Xianming Chen, Meinan Wang, Shiaoman Chao, Vladimir Kanazin, Tom Blake, Jorge Dubcovsky, Dave Skinner, Peng Cheng, Arron H. Carter and Bikram S. Gill and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Deven R. See

82 papers receiving 1.9k citations

Peers

Deven R. See
Comparison fields: 5 of 69
  • Plant Science 1.9k
  • Genetics 675
  • Molecular Biology 463
  • Agronomy and Crop Science 288
  • Cell Biology 99
Replace K. V. Prabhu with:
K. V. Prabhu India
Xiujin Lan China
Simon Berry United Kingdom
Jörg Plieske Germany
Sunish K. Sehgal United States
J. D. Franckowiak United States
Márta Molnár‐Láng Hungary
Alain Murigneux France
Zhenglong Ren China
A. S. Turner United Kingdom
K. V. Prabhu India View profile →
Citations per field, relative to Deven R. See
Deven R. See · 1×
Citations per year, relative to Deven R. See
Deven R. See · 1×

Countries citing papers authored by Deven R. See

Since Specialization
Citations

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

Fields of papers citing papers by Deven R. See

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deven R. See. 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 Deven R. See. The network helps show where Deven R. See may publish in the future.

Co-authorship network of co-authors of Deven R. See

This figure shows the co-authorship network connecting the top 25 collaborators of Deven R. See. A scholar is included among the top collaborators of Deven R. See 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 Deven R. See. Deven R. See 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
# Work Indexed citations
1 1
2 5
3 1
4 4
5 8
6 7
7 1
8 11
9 1
10 7
11 11
12 11
13 23
14 33
15 59
16 4
17 55
18 80
19 112
20 55

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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