Julian Singer

699 total citations · 1 hit paper
13 papers, 479 citations indexed

About

Julian Singer is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Transplantation. According to data from OpenAlex, Julian Singer has authored 13 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Public Health, Environmental and Occupational Health and 4 papers in Transplantation. Recurrent topics in Julian Singer's work include Gut microbiota and health (5 papers), Renal Transplantation Outcomes and Treatments (4 papers) and Diet and metabolism studies (3 papers). Julian Singer is often cited by papers focused on Gut microbiota and health (5 papers), Renal Transplantation Outcomes and Treatments (4 papers) and Diet and metabolism studies (3 papers). Julian Singer collaborates with scholars based in Australia and China. Julian Singer's co-authors include Steven J. Chadban, Yik Wen Loh, Laurence Macia, Yan Jun Li, Tony Kwan, Jian Tan, Huiling Wu, Charles R. Mackay, Yunzi Liu and Xiaochen Chen and has published in prestigious journals such as Kidney International, Journal of the American Society of Nephrology and Transplantation.

In The Last Decade

Julian Singer

12 papers receiving 473 citations

Hit Papers

Dietary Fiber Protects against Diabetic Nephropathy throu... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers

Julian Singer
Julian Singer
Citations per year, relative to Julian Singer Julian Singer (= 1×) peers Natsu Yamaguchi

Countries citing papers authored by Julian Singer

Since Specialization
Citations

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

Fields of papers citing papers by Julian Singer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julian Singer

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

All Works

13 of 13 papers shown
1.
Singer, Julian, Griffith B. Perkins, Tania Salehi, et al.. (2024). Dietary Inulin to Improve SARS-CoV-2 Vaccine Response in Kidney Transplant Recipients: The RIVASTIM-Inulin Randomised Controlled Trial. Vaccines. 12(6). 608–608. 4 indexed citations
5.
Chadban, Steven J., Yik Wen Loh, Tony Kwan, et al.. (2022). Targeting inflammatory monocytes by immune-modifying nanoparticles prevents acute kidney allograft rejection. Kidney International. 102(5). 1090–1102. 18 indexed citations
6.
Singer, Julian, Yan Jun Li, Tracey Ying, et al.. (2021). Protocol for a pilot single-centre, parallel-arm, randomised controlled trial of dietary inulin to improve gut health in solid organ transplantation: the DIGEST study. BMJ Open. 11(4). e049184–e049184. 5 indexed citations
7.
Burgess, Annette, Elie Matar, Chris Roberts, et al.. (2021). Scaffolding medical student knowledge and skills: team-based learning (TBL) and case-based learning (CBL). BMC Medical Education. 21(1). 238–238. 65 indexed citations
8.
Liu, Yunzi, Yan Jun Li, Yik Wen Loh, et al.. (2021). Fiber Derived Microbial Metabolites Prevent Acute Kidney Injury Through G-Protein Coupled Receptors and HDAC Inhibition. Frontiers in Cell and Developmental Biology. 9. 648639–648639. 40 indexed citations
9.
Li, Yan Jun, Xiaochen Chen, Tony Kwan, et al.. (2020). Dietary Fiber Protects against Diabetic Nephropathy through Short-Chain Fatty Acid–Mediated Activation of G Protein–Coupled Receptors GPR43 and GPR109A. Journal of the American Society of Nephrology. 31(6). 1267–1281. 265 indexed citations breakdown →
10.
Wu, Huiling, Julian Singer, Tony Kwan, et al.. (2020). Gut Microbial Metabolites Induce Donor-Specific Tolerance of Kidney Allografts through Induction of T Regulatory Cells by Short-Chain Fatty Acids. Journal of the American Society of Nephrology. 31(7). 1445–1461. 61 indexed citations
11.
Singer, Julian, Huiling Wu, Yik Wen Loh, et al.. (2020). HIGH-FIBRE DIET REDUCES TRANSPLANT-ASSOCIATED DYSBIOSIS AND IMPROVES RENAL ALLOGRAFT SURVIVAL IN A MURINE MODEL OF KIDNEY ALLOGRAFT REJECTION. Transplantation. 104(S3). S188–S189.
12.
Li, Yonghui, Xinming Chen, Tony Kwan, et al.. (2020). SAT-160 DIETARY FIBRE AND BACTERIAL SCFA MODULATE RENAL INFLAMMATION IN DIABETIC NEPHROPATHY THROUGH ACTIVATION OF G-PROTEIN COUPLED RECEPTORS GPR43 AND GPR109A. Kidney International Reports. 5(3). S68–S69. 4 indexed citations
13.
Chadban, Steve, Julian Singer, Yik Wen Loh, et al.. (2020). TARGETING INFLAMMATORY MONOCYTES BY IMMUNE-MODIFYING NANOPARTICLES PREVENTS ACUTE KIDNEY ALLOGRAFT REJECTION. Transplantation. 104(S3). S45–S45. 2 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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