Beth Kelly

11.6k citations
17 papers · 5.2k indexed · 4 hit papers · h-index 14

Beth Kelly

17 papers receiving 5.2k citations

Hit Papers

Amino Assets: How Amino Acids Support Immunity412201520262018202250010001.5k

Peers

Beth Kelly
Comparison fields: 5 of 134
  • Immunology 2.3k
  • Biological Psychiatry 170
  • Cancer Research 676
  • Neurology 339
  • Molecular Biology 2.5k
Replace Zhenyu Zhong with:
Zhenyu Zhong China
Inpyo Choi South Korea
Amir S. Yazdi Germany
Evanna L. Mills United States
Haitao Wen United States
Juan Zhang China
Thomas Weichhart Austria
Huabao Xiong China
Ryan D. Michalek United States
Beth Kelly relative to Zhenyu Zhong China Zhenyu Zhong's profile →
Citations per field
00.5×1.5×
Zhenyu Zhong · 1×
Citations per year

Countries citing papers authored by Beth Kelly

Since Specialization
Citations

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

Fields of papers citing papers by Beth Kelly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

17 of 17 papers shown
#Work
1 202129
2
Amino Assets: How Amino Acids Support Immunitybreakdown →
2020412
3 2019196
4 2019216
5
Mitochondria are the powerhouses of immunitybreakdown →
2017773
6
Succinate Dehydrogenase Supports Metabolic Repurposing of Mitochondria to Drive Inflammatory Macrophagesbreakdown →
20161624
7 2015273
8
Metabolic reprogramming in macrophages and dendritic cells in innate immunitybreakdown →
20151334
9 20102
10 200770
11 200469
12 200383
13 199812
14 199873
15 19942
16 199114
17 199047

About Beth Kelly

Beth Kelly is a scholar working on Biochemistry, Biological Psychiatry, Cell Biology, Geriatrics and Gerontology and Immunology, having authored 17 papers that have together received 5.2k indexed citations. Recurring topics across this work include Immune cells in cancer (5 papers), Lipid metabolism and biosynthesis (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Mitochondrial Function and Pathology (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Immune Cell Function and Interaction (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and interferon and immune responses (1 paper). The work is most often cited by research in Immunology (2.3k citations), Biological Psychiatry (170 citations), Cancer Research (676 citations), Neurology (339 citations) and Molecular Biology (2.5k citations). Beth Kelly has collaborated with scholars based in United States, Germany and Ireland. Frequent co-authors include Luke O'neill, Evanna L. Mills, Erika L. Pearce, Michael P. Murphy, Sinéad C. Corr, Ramnik J. Xavier, Angela Logan, J. Henry M. Däbritz, Mukund Varma and Isabel Latorre. Their work appears in journals such as Cell Metabolism, Journal of Biological Chemistry, Nature Immunology, Gene and Journal of Bacteriology.

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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