Jamie Bates

1.4k citations
20 papers · 664 · h-index 8

Impact in

  • Hepatology top 10%
    • Liver physiology and pathology
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction

Papers in

    • Peroxisome Proliferator-Activated Receptors 4
    • Protein Degradation and Inhibitors 3
    • Cancer-related gene regulation 2
    • Liver Disease Diagnosis and Treatment 6

Jamie Bates

18 papers receiving 661 citations

Peers

Jamie Bates
Comparison fields: 5 of 68
  • Hepatology 100
  • Immunology 177
  • Epidemiology 257
  • Endocrinology, Diabetes and Metabolism 103
  • Biochemistry 38
Replace Aastha Jindal with:
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Nozomi Tochiki Japan
Yuji Matsuzawa Japan
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Robert Sherwin United States
Yukio Kume Japan
Tixiao Wang China
Jamie Bates relative to Aastha Jindal Italy Aastha Jindal's profile →
Citations per field
00.5×1.5×
Aastha Jindal · 1×
Citations per year

Countries citing papers authored by Jamie Bates

Since Specialization
Citations

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

Fields of papers citing papers by Jamie Bates

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2011200
2 2018181
3 2020154
4 201630
5 200728
6 202516
7 202212
8 20229
9 20167
10 20236
11 20125
12 20124
13 20154
14
Possible mechanisms of normal amylase activity in hyperlipemic pancreatitis.
19763
15 20162
16 20251
17 20201
18 20171
19 20180
20 20200

About Jamie Bates

Jamie Bates is a scholar working on Molecular Biology, Epidemiology, Immunology, Oncology and Hematology, having authored 20 papers that have together received 664 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (6 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Protein Degradation and Inhibitors (3 papers), Immune Cell Function and Interaction (3 papers), Diet, Metabolism, and Disease (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), T-cell and B-cell Immunology (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Hepatology (100 citations), Immunology (177 citations), Epidemiology (257 citations), Endocrinology, Diabetes and Metabolism (103 citations) and Biochemistry (38 citations). Jamie Bates has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Ricardo Ramírez, Mark S. Schlissel, Ting Wang, Gary W. Cline, Gerald I. Shulman, Rachel J. Perry, Li Li, Daniel F. Vatner, Kari E. Wong and Adrian S. Ray. Their work appears in journals such as Journal of Hepatology, PLoS ONE, Blood, Hepatology and Journal of Translational Medicine.

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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