Stanton Martin

1.2k citations
17 papers · 589 indexed · h-index 11
Topics
Genomics and Phylogenetic Studies (5 papers)Biofuel production and bioconversion (4 papers)Microbial Metabolic Engineering and Bioproduction (3 papers)

In The Last Decade

Stanton Martin

17 papers receiving 583 citations

Peers

Stanton Martin
Comparison fields: 5 of 78
  • Molecular Biology 407
  • Biomedical Engineering 236
  • Plant Science 158
  • Biotechnology 77
  • Ecology 76
Replace Nicholas S. McCarty with:
Nicholas S. McCarty United States
Konanani Rashamuse South Africa
Taicheng Zhu China
Wayne S. Kontur United States
Guzhen Cui China
Laetitia Abdou Switzerland
W. A. Jones South Africa
Angélique Chanal France
Elena Fabiano Uruguay
Lummy Maria Oliveira Monteiro Brazil
Stanton Martin relative to Nicholas S. McCarty United States Nicholas S. McCarty's profile →
Citations per field
00.5×10×20×30×40×47×
Nicholas S. McCarty · 1×
Citations per year

Countries citing papers authored by Stanton Martin

Since Specialization
Citations

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

Fields of papers citing papers by Stanton Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stanton Martin

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 2
2 2
3 12
4 3
5 10
6 30
7 43
8 8
9 63
10 113
11 11
12 93
13 3
14 117
15 42
16 19
17 18

About Stanton Martin

Stanton Martin is a scholar working on Endocrinology, Plant Science and Molecular Biology, having authored 17 papers that have together received 589 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Biofuel production and bioconversion (4 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). The work is most often cited by research in Biotechnology (77 citations), Molecular Biology (407 citations) and Biomedical Engineering (236 citations). Stanton Martin has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Steven D. Brown, Dawn M. Klingeman, Miriam Land, Shihui Yang, Tse-Yuan S. Lu, Dale A. Pelletier, Timothy J. Tschaplinski, Brian H. Davison, Nancy L. Engle and Anthony V. Palumbo. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Applied and Environmental Microbiology.

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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