James T. Morton

7.4k citations
8 papers · 1.9k indexed · 2 hit papers · h-index 8
Topics
Gut microbiota and health (4 papers)Genomics and Phylogenetic Studies (4 papers)Metabolomics and Mass Spectrometry Studies (3 papers)
Partner nations
United StatesMexico

In The Last Decade

James T. Morton

8 papers receiving 1.9k citations

Hit Papers

Deblur Rapidly Resolves Single-Nucleotide Community Seque...2017202620202023201720194008001.2k

Peers

James T. Morton
Comparison fields: 5 of 142
  • Molecular Biology 1.1k
  • Ecology 464
  • Physiology 203
  • Plant Science 188
  • Food Science 167
Replace Gavin M. Douglas with:
Gavin M. Douglas Canada
Lauren Petersen United States
Shyamal Peddada United States
Lin Huang China
Achal Dhariwal Norway
Mathangi Thiagarajan United States
Jeremiah J. Minich United States
Zachary Kurtz United States
Lívia S. Zaramela United States
Cameron Martino United States
James T. Morton relative to Gavin M. Douglas Canada Gavin M. Douglas's profile →
Citations per field
00.5×1.5×
Gavin M. Douglas · 1×
Citations per year

Countries citing papers authored by James T. Morton

Since Specialization
Citations

This map shows the geographic impact of James T. Morton'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 James T. Morton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James T. Morton more than expected).

Fields of papers citing papers by James T. Morton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James T. Morton. 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 James T. Morton. The network helps show where James T. Morton may publish in the future.

Co-authorship network of co-authors of James T. Morton

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 7
2 10
3 104
4
A Novel Sparse Compositional Technique Reveals Microbial Perturbationsbreakdown →
329
5 60
6
Deblur Rapidly Resolves Single-Nucleotide Community Sequence Patternsbreakdown →
1292
7 38
8 51

About James T. Morton

James T. Morton is a scholar working on Periodontics, Paleontology and Molecular Biology, having authored 8 papers that have together received 1.9k indexed citations. Recurring topics across this work include Gut microbiota and health (4 papers), Genomics and Phylogenetic Studies (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). The work is most often cited by research in Biological Psychiatry (62 citations), Ecology (464 citations) and Molecular Biology (1.1k citations). James T. Morton has collaborated with scholars based in United States and Mexico. Frequent co-authors include Rob Knight, Luke Thompson, Daniel McDonald, Amnon Amir, Evguenia Kopylova, José A. Navas-Molina, Zhenjiang Zech Xu, Antonio González, Embriette R. Hyde and Cameron Martino. Their work appears in journals such as Bioinformatics, BMC Bioinformatics and Nature 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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