Bob Amess

829 citations
16 papers · 645 · h-index 12

Impact in

  • Spectroscopy top 10%
    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications
    • 14-3-3 protein interactions
    • Ubiquitin and proteasome pathways
    • Metabolomics and Mass Spectrometry Studies
    • Glycosylation and Glycoproteins Research
    • Advanced Biosensing Techniques and Applications

Papers in

    • Advanced Proteomics Techniques and Applications 4
    • Mass Spectrometry Techniques and Applications 1
    • 14-3-3 protein interactions 3
    • Metabolomics and Mass Spectrometry Studies 2
    • Ubiquitin and proteasome pathways 2
    • Machine Learning in Bioinformatics 1

Bob Amess

16 papers receiving 594 citations

Peers

Bob Amess
Comparison fields: 5 of 79
  • Spectroscopy 135
  • Molecular Biology 452
  • Endocrinology 29
  • Biological Psychiatry 10
  • Aging 6
Replace Anik Forest with:
Anik Forest Canada
Leila Afjehi‐Sadat Austria
Juanying Ye China
Christian V. Recktenwald Germany
Xufeng Cen China
Kozo Hirokawa Japan
Michael J. Smallegan United States
Inge Perschil Germany
Donald K. Kakuda United States
Navin Rauniyar United States
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Citations per field
00.5×2×3×4×4.7×
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Citations per year

Countries citing papers authored by Bob Amess

Since Specialization
Citations

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

Fields of papers citing papers by Bob Amess

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 1999171
2 1992125
3 199959
4 199747
5 200142
6 199138
7 201232
8 202330
9 199220
10 199518
11 201218
12 199216
13 201212
14 200411
15 20135
16 20131

About Bob Amess

Bob Amess is a scholar working on Spectroscopy, Molecular Biology, Oncology, Cell Biology and Biological Psychiatry, having authored 16 papers that have together received 645 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (4 papers), 14-3-3 protein interactions (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Ubiquitin and proteasome pathways (2 papers), Tryptophan and brain disorders (1 paper), Machine Learning in Bioinformatics (1 paper), Mass Spectrometry Techniques and Applications (1 paper) and Birth, Development, and Health (1 paper). The work is most often cited by research in Spectroscopy (135 citations), Molecular Biology (452 citations), Endocrinology (29 citations), Biological Psychiatry (10 citations) and Aging (6 citations). Bob Amess has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Raj B. Parekh, Alastair Aitken, Martin Pagé, Alex Toker, Alan Harris, Lynda A. Sellers, R. Reid Townsend, Robert C. Stein, Susan C. Davies and Michael Derek Waterfield. Their work appears in journals such as PROTEOMICS, Cancer Cell, Drug Discovery Today, American Journal of Physical Anthropology and Proceedings of the National Academy of Sciences.

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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