James R. Krycer

3.6k total citations
52 papers, 2.0k citations indexed

About

James R. Krycer is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, James R. Krycer has authored 52 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 16 papers in Physiology and 9 papers in Surgery. Recurrent topics in James R. Krycer's work include Adipose Tissue and Metabolism (14 papers), Metabolism, Diabetes, and Cancer (10 papers) and Bioinformatics and Genomic Networks (8 papers). James R. Krycer is often cited by papers focused on Adipose Tissue and Metabolism (14 papers), Metabolism, Diabetes, and Cancer (10 papers) and Bioinformatics and Genomic Networks (8 papers). James R. Krycer collaborates with scholars based in Australia, United States and United Kingdom. James R. Krycer's co-authors include Andrew J. Brown, David E. James, Daniel J. Fazakerley, Laura J. Sharpe, Winnie Luu, Lisa Phan, Alison L. Kearney, James G. Burchfield, Samantha Hocking and Alexis Díaz‐Vegas and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

James R. Krycer

49 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
James R. Krycer Australia 22 1.2k 504 435 369 269 52 2.0k
Shuai Chen China 24 1.5k 1.2× 499 1.0× 373 0.9× 449 1.2× 218 0.8× 58 2.1k
Cathérine Mounier Canada 27 1.0k 0.8× 428 0.8× 338 0.8× 288 0.8× 282 1.0× 66 2.1k
Lydie Plecitá‐Hlavatá Czechia 28 1.6k 1.3× 474 0.9× 471 1.1× 373 1.0× 165 0.6× 52 2.5k
Navin Viswakarma United States 25 1.4k 1.2× 372 0.7× 310 0.7× 185 0.5× 345 1.3× 67 2.1k
Ruojing Yang United States 15 1.2k 1.0× 803 1.6× 207 0.5× 355 1.0× 325 1.2× 23 1.9k
Haipeng Sun China 24 1.5k 1.2× 684 1.4× 238 0.5× 169 0.5× 198 0.7× 67 2.2k
Eric L. Klett United States 22 968 0.8× 361 0.7× 256 0.6× 423 1.1× 331 1.2× 28 1.8k
Soona Shin United States 20 1.6k 1.3× 292 0.6× 219 0.5× 338 0.9× 333 1.2× 27 2.3k
Pierre‐Damien Denechaud France 17 1.2k 1.0× 428 0.8× 271 0.6× 552 1.5× 609 2.3× 27 2.0k
Lu Zhu China 28 953 0.8× 329 0.7× 207 0.5× 367 1.0× 264 1.0× 57 1.7k

Countries citing papers authored by James R. Krycer

Since Specialization
Citations

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

Fields of papers citing papers by James R. Krycer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James R. Krycer

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

All Works

20 of 20 papers shown
1.
Krycer, James R., et al.. (2025). Tackling pressure fluctuations in ultra-HPLC to robustly resolve and analyze polar metabolites. Journal of Biological Chemistry. 301(3). 108283–108283.
2.
Lamboley, C. R., et al.. (2025). Muscle-specific Ryanodine receptor 1 properties underlie limb-girdle muscular dystrophy 2B/R2 progression. Nature Communications. 16(1). 3056–3056. 1 indexed citations
3.
Krycer, James R., et al.. (2025). The Ketogenic Diet: An Anti-Inflammatory Treatment for Schizophrenia?. Journal of Inflammation Research. Volume 18. 16761–16771.
4.
Krycer, James R., et al.. (2024). A miniaturized culture platform for control of the metabolic environment. Biomicrofluidics. 18(2). 24101–24101.
5.
Francis, Deanne, Shila Ghazanfar, Essi Havula, et al.. (2021). Genome-wide analysis in Drosophila reveals diet-by-gene interactions and uncovers diet-responsive genes. G3 Genes Genomes Genetics. 11(10). 6 indexed citations
6.
Krycer, James R., Mary Lor, Rebecca L. Fitzsimmons, & James E. Hudson. (2021). A cell culture platform for quantifying metabolic substrate oxidation in bicarbonate-buffered medium. Journal of Biological Chemistry. 298(2). 101547–101547. 1 indexed citations
7.
Yugi, Katsuyuki, Satoshi Ohno, James R. Krycer, David E. James, & Shinya Kuroda. (2019). Rate-oriented trans-omics: integration of multiple omic data on the basis of reaction kinetics. Current Opinion in Systems Biology. 15. 109–120. 8 indexed citations
8.
Krycer, James R., Alexis Díaz‐Vegas, Kristen C. Cooke, et al.. (2019). Mitochondrial oxidants, but not respiration, are sensitive to glucose in adipocytes. Journal of Biological Chemistry. 295(1). 99–110. 19 indexed citations
9.
Chaudhuri, Rima, James R. Krycer, Daniel J. Fazakerley, et al.. (2018). The transcriptional response to oxidative stress is part of, but not sufficient for, insulin resistance in adipocytes. Scientific Reports. 8(1). 1774–1774. 11 indexed citations
10.
Fazakerley, Daniel J., James R. Krycer, Alison L. Kearney, Samantha Hocking, & David E. James. (2018). Muscle and adipose tissue insulin resistance: malady without mechanism?. Journal of Lipid Research. 60(10). 1720–1732. 127 indexed citations
11.
Krycer, James R., et al.. (2018). A Gas Trapping Method for High-Throughput Metabolic Experiments. BioTechniques. 64(1). 27–29. 4 indexed citations
12.
Norris, Dougall M., Pengyi Yang, James R. Krycer, et al.. (2017). An improved Akt reporter reveals intra- and inter-cellular heterogeneity and oscillations in signal transduction. Journal of Cell Science. 130(16). 2757–2766. 15 indexed citations
13.
Krycer, James R., Rima Chaudhuri, Pengyi Yang, et al.. (2016). Unraveling Kinase Activation Dynamics Using Kinase-Substrate Relationships from Temporal Large-Scale Phosphoproteomics Studies. PLoS ONE. 11(6). e0157763–e0157763. 11 indexed citations
14.
Vafaee, Fatemeh, et al.. (2016). ORTI: An Open-Access Repository of Transcriptional Interactions for Interrogating Mammalian Gene Expression Data. PLoS ONE. 11(10). e0164535–e0164535. 15 indexed citations
15.
Kleinert, Maximilian, Benjamin L. Parker, Rima Chaudhuri, et al.. (2016). mTORC2 and AMPK differentially regulate muscle triglyceride content via Perilipin 3. Molecular Metabolism. 5(8). 646–655. 49 indexed citations
16.
Stolte, Christian, et al.. (2015). SnapShot: Insulin/IGF1 Signaling. Cell. 161(4). 948–948.e1. 14 indexed citations
17.
Trefely, Sophie, James R. Krycer, Rima Chaudhuri, et al.. (2015). Kinome Screen Identifies PFKFB3 and Glucose Metabolism as Important Regulators of the Insulin/Insulin-like Growth Factor (IGF)-1 Signaling Pathway. Journal of Biological Chemistry. 290(43). 25834–25846. 46 indexed citations
18.
Stevenson, Julian, James R. Krycer, Lisa Phan, & Andrew J. Brown. (2013). A Practical Comparison of Ligation-Independent Cloning Techniques. PLoS ONE. 8(12). e83888–e83888. 62 indexed citations
19.
Krycer, James R., Chi Nam Ignatius Pang, & Marc R. Wilkins. (2008). High throughput protein-protein interaction data: clues for the architecture of protein complexes. Proteome Science. 6(1). 32–32. 2 indexed citations
20.
Pang, Chi Nam Ignatius, James R. Krycer, Angela Lek, & Marc R. Wilkins. (2008). Are protein complexes made of cores, modules and attachments?. PROTEOMICS. 8(3). 425–434. 26 indexed citations

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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