James Go

530 citations
6 papers · 162 indexed · h-index 5

Impact in

    • Genetics, Aging, and Longevity in Model Organisms
    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications

Papers in

    • Advanced Proteomics Techniques and Applications 2
    • Mass Spectrometry Techniques and Applications 1
    • Insect and Pesticide Research 1

James Go

6 papers receiving 160 citations

Peers

James Go
Comparison fields: 5 of 54
  • Aging 15
  • Spectroscopy 29
  • Genetics 42
  • Molecular Biology 98
  • Insect Science 12
Replace Iiro Taneli Helenius with:
Iiro Taneli Helenius United States
Chihiro Emori Japan
Chintan Joshi United States
Hongsheng Wu United States
Nahye Kim South Korea
Carole Marchetti France
Paul R. H. J. Timmers United Kingdom
Ada Soler‐Ventura Spain
Ralph A. Sorensen United States
James Go relative to Iiro Taneli Helenius United States Iiro Taneli Helenius's profile →
Citations per field
00.5×7.3×
Iiro Taneli Helenius · 1×
Citations per year

Countries citing papers authored by James Go

Since Specialization
Citations

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

Fields of papers citing papers by James Go

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 201571
2 202137
3 201425
4 202024
5 19974
6 20181

About James Go

James Go is a scholar working on Spectroscopy, Insect Science, Genetics, Molecular Biology and Cellular and Molecular Neuroscience, having authored 6 papers that have together received 162 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Advanced Proteomics Techniques and Applications (2 papers), Epigenetics and DNA Methylation (1 paper), Cancer-related gene regulation (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper), Insect and Pesticide Research (1 paper) and Mass Spectrometry Techniques and Applications (1 paper). The work is most often cited by research in Aging (15 citations), Spectroscopy (29 citations), Genetics (42 citations), Molecular Biology (98 citations) and Insect Science (12 citations). James Go has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include Jennifer E. Van Eyk, Vidya Venkatraman, David López, Luz D. Orozco, Rima Rozen, Marco Morselli, Huwenbo Shi, Michael Q. Zhang, Charles R. Farber and Nicholas A. Furlotte. Their work appears in journals such as Cell Metabolism, Clinical Chemistry, Journal of the American Society for Mass Spectrometry, eLife and Diabetes.

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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