Raymond Shim

1.8k total citations
18 papers, 541 citations indexed

About

Raymond Shim is a scholar working on Neurology, Immunology and Molecular Biology. According to data from OpenAlex, Raymond Shim has authored 18 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Neurology, 7 papers in Immunology and 5 papers in Molecular Biology. Recurrent topics in Raymond Shim's work include Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers) and Barrier Structure and Function Studies (3 papers). Raymond Shim is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers) and Barrier Structure and Function Studies (3 papers). Raymond Shim collaborates with scholars based in Australia, United States and Canada. Raymond Shim's co-authors include Connie H. Y. Wong, Paul Kubes, Shu Wen, Ana Carolina Oliveira, Lauren C. Binge, Charles R. Mackay, Linda J. Mason, Kathryn Prame Kumar, Sj Shen and Mokarram Hossain and has published in prestigious journals such as Nature, Nature Communications and The Journal of Immunology.

In The Last Decade

Raymond Shim

17 papers receiving 536 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raymond Shim Australia 12 166 165 142 140 64 18 541
Graziela Cerchiaro Canada 7 178 1.1× 205 1.2× 92 0.6× 77 0.6× 30 0.5× 11 624
Kathryn Prame Kumar Australia 8 179 1.1× 179 1.1× 62 0.4× 82 0.6× 39 0.6× 11 517
Pijus Barman United States 10 152 0.9× 356 2.2× 112 0.8× 85 0.6× 33 0.5× 11 761
Kerem Balan United Kingdom 11 125 0.8× 72 0.4× 75 0.5× 109 0.8× 61 1.0× 25 522
Siddharth Krishnan United Kingdom 9 92 0.6× 149 0.9× 73 0.5× 72 0.5× 25 0.4× 13 489
Cory Deburghgraeve United States 8 114 0.7× 153 0.9× 131 0.9× 43 0.3× 45 0.7× 9 391
David M. Stepien United States 10 175 1.1× 182 1.1× 280 2.0× 26 0.2× 85 1.3× 15 644
Xiaoli Lou China 18 233 1.4× 129 0.8× 142 1.0× 29 0.2× 49 0.8× 44 650
Areez Shafqat Saudi Arabia 14 132 0.8× 123 0.7× 55 0.4× 36 0.3× 33 0.5× 45 454
Jiajie Lu China 14 141 0.8× 55 0.3× 142 1.0× 43 0.3× 51 0.8× 61 515

Countries citing papers authored by Raymond Shim

Since Specialization
Citations

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

Fields of papers citing papers by Raymond Shim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raymond Shim

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

All Works

18 of 18 papers shown
1.
Salm, Lilian, Raymond Shim, Nina Noskovičová, & Paul Kubes. (2023). Gata6+ large peritoneal macrophages: an evolutionarily conserved sentinel and effector system for infection and injury. Trends in Immunology. 44(2). 129–145. 20 indexed citations
2.
Wen, Shu, Raymond Shim, Pam Hall, et al.. (2022). Lung Imaging Reveals Stroke-Induced Impairment in Pulmonary Intravascular Neutrophil Function, a Response Exacerbated with Aging. The Journal of Immunology. 208(8). 2019–2028. 6 indexed citations
3.
Kratofil, Rachel M., Raymond Shim, Woo-Yong Lee, et al.. (2022). A monocyte–leptin–angiogenesis pathway critical for repair post-infection. Nature. 609(7925). 166–173. 63 indexed citations
4.
Hossain, Mokarram, Raymond Shim, Woo‐Yong Lee, Arlene H. Sharpe, & Paul Kubes. (2022). Gata6+ resident peritoneal macrophages promote the growth of liver metastasis. Nature Communications. 13(1). 4406–4406. 25 indexed citations
5.
Wen, Shu, et al.. (2022). Brain‐associated innate leukocytes display diverse inflammatory states following experimental stroke. Immunology and Cell Biology. 100(7). 482–496. 8 indexed citations
6.
Shim, Raymond, Jenny L. Wilson, Sarah Phillips, et al.. (2021). The role of β2 adrenergic receptor on infection development after ischaemic stroke. Brain Behavior & Immunity - Health. 18. 100393–100393. 4 indexed citations
7.
Shen, Sj, Kathryn Prame Kumar, Shu Wen, et al.. (2021). Deficiency of Dietary Fiber Modulates Gut Microbiota Composition, Neutrophil Recruitment and Worsens Experimental Colitis. Frontiers in Immunology. 12. 619366–619366. 32 indexed citations
8.
Gan, Poh‐Yi, Kim M. O’Sullivan, Raymond Shim, et al.. (2021). Anti-CD20 mAb-Induced B Cell Apoptosis Generates T Cell Regulation of Experimental Myeloperoxidase ANCA-Associated Vasculitis. Journal of the American Society of Nephrology. 32(5). 1071–1083. 8 indexed citations
9.
Shim, Raymond, Shu Wen, Michelle M. Rank, et al.. (2019). Stroke Severity, and Not Cerebral Infarct Location, Increases the Risk of Infection. Translational Stroke Research. 11(3). 387–401. 22 indexed citations
10.
Gan, Poh‐Yi, Joshua D. Ooi, Kei Nagai, et al.. (2019). Biologicals targeting T helper cell subset differentiating cytokines are effective in the treatment of murine anti-myeloperoxidase glomerulonephritis. Kidney International. 96(5). 1121–1133. 21 indexed citations
11.
Wen, Shu, Raymond Shim, Yogitha N. Srikhanta, et al.. (2019). Advanced age promotes colonic dysfunction and gut‐derived lung infection after stroke. Aging Cell. 18(5). e12980–e12980. 41 indexed citations
12.
Shim, Raymond & Connie H. Y. Wong. (2018). Complex interplay of multiple biological systems that contribute to post-stroke infections. Brain Behavior and Immunity. 70. 10–20. 30 indexed citations
13.
Zhang, Shenpeng R., Hannah X. Chu, Brad R. S. Broughton, et al.. (2018). IL-33 modulates inflammatory brain injury but exacerbates systemic immunosuppression following ischemic stroke. JCI Insight. 3(18). 51 indexed citations
14.
Gan, Poh‐Yi, Takeshi Fujita, Joshua D. Ooi, et al.. (2017). Pathogenic Role for γδ T Cells in Autoimmune Anti-Myeloperoxidase Glomerulonephritis. The Journal of Immunology. 199(9). 3042–3050. 11 indexed citations
15.
Shim, Raymond, Ana Carolina Oliveira, Linda J. Mason, et al.. (2016). G Protein-Coupled Receptor 43 Modulates Neutrophil Recruitment during Acute Inflammation. PLoS ONE. 11(9). e0163750–e0163750. 56 indexed citations
16.
Shim, Raymond & Connie H. Y. Wong. (2016). Ischemia, Immunosuppression and Infection—Tackling the Predicaments of Post-Stroke Complications. International Journal of Molecular Sciences. 17(1). 64–64. 134 indexed citations
17.
Boyle, Michael A, Raymond Shim, Ailbhe Tarrant, et al.. (2014). Inclusion of extremes of prematurity in ventricular index centile charts. Journal of Perinatology. 35(6). 439–443. 9 indexed citations
18.
Shim, Raymond, et al.. (2012). 1269 Levene Index at Different Gestational Ages in Infants < 32 Weeks. Archives of Disease in Childhood. 97(Suppl 2). A362–A363.

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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