Laurie Erickson

468 total citations
32 papers, 396 citations indexed

About

Laurie Erickson is a scholar working on Molecular Biology, Surgery and Transplantation. According to data from OpenAlex, Laurie Erickson has authored 32 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Surgery and 8 papers in Transplantation. Recurrent topics in Laurie Erickson's work include Renal Transplantation Outcomes and Treatments (8 papers), Peroxisome Proliferator-Activated Receptors (5 papers) and Transplantation: Methods and Outcomes (4 papers). Laurie Erickson is often cited by papers focused on Renal Transplantation Outcomes and Treatments (8 papers), Peroxisome Proliferator-Activated Receptors (5 papers) and Transplantation: Methods and Outcomes (4 papers). Laurie Erickson collaborates with scholars based in United States, Japan and Canada. Laurie Erickson's co-authors include Fan Pan, Hongsi Jiang, Masakazu Kobayashi, Aaron Ebbs, Nobuyo Maeda, James E. Trosko, Cyrenius M. Jone, Satoshi Kawahara, T. Nakanishi and Chia Cheng Chang and has published in prestigious journals such as The Journal of Experimental Medicine, Transplantation and Genomics.

In The Last Decade

Laurie Erickson

31 papers receiving 385 citations

Peers

Laurie Erickson

SURGE

TRANS

IMMUN

CCM

Ziqin Yin Canada

Xi Hong China

Hanfei Huang China

Ri Wen China

Marianne Raith Austria

Leila Kohan Iran

Maroua Ferhat France

Jui-Chih Chang Taiwan

Yu Jung Heo South Korea

Ziqin Yin Canada

Laurie Erickson

184 ×1.5

87 ×0.9

SURGE

49 ×0.6

TRANS

166 ×2.0

IMMUN

9 ×0.2

CCM

Citations per year, relative to Laurie Erickson Laurie Erickson (= 1×) peers Ziqin Yin

Countries citing papers authored by Laurie Erickson

Since Specialization

Citations

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

Fields of papers citing papers by Laurie Erickson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laurie Erickson

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

All Works

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20 of 20 papers shown

Nakanishi, T., Takahisa Uchiyama, Masao Uchida, Laurie Erickson, & Satoshi Kawahara. (2024). Ante-mortem glutathione peroxidase 4 inhibition by RSL3 affects post-mortem meat quality in broiler chickens. British Poultry Science. 66(2). 218–226.

Nakanishi, T., et al.. (2023). In vitro characterization of anti-inflammatory activities of 3RS, 7R, 11R-phytanic acid. Journal of Dairy Research. 90(1). 92–99. 1 indexed citations

Nakanishi, T., et al.. (2020). Effects of dietary phytol on tissue accumulation of phytanic acid and pristanic acid and on the tissue lipid profiles in mice. Animal Science Journal. 91(1). e13424–e13424. 7 indexed citations

Nakanishi, T., Ryoji Suzuki, Yuto Yamaguchi, et al.. (2018). Naturally occurring 3RS, 7R, 11R-phytanic acid suppresses in vitro T-cell production of interferon-gamma. Lipids in Health and Disease. 17(1). 147–147. 8 indexed citations

Nakanishi, T., Xiaoyan Xu, Toshiko Yamada, et al.. (2015). Absence of Activation-induced Cytidine Deaminase, a Regulator of Class Switch Recombination and Hypermutation in B Cells, Suppresses Aorta Allograft Vasculopathy in Mice. Transplantation. 99(8). 1598–1605. 4 indexed citations

Erickson, Laurie, Fan Pan, Guliang Xia, et al.. (2012). Microarray gene expression profiling of chronic allograft nephropathy in the rat kidney transplant model. Transplant Immunology. 27(2-3). 75–82. 2 indexed citations

Pan, Fan, et al.. (2008). A Blocking Anti-CD28-Specific Antibody Induces Long-Term Heart Allograft Survival by Suppression of the PKCθ-JNK Signal Pathway. Transplantation. 85(7). 1051–1055. 15 indexed citations

Pan, Fan, Laurie Erickson, Yuji Sudo, et al.. (2005). Protective Effects of PG490-88 on Chronic Allograft Rejection by Changing Intragraft Gene Expression Profiles. Transplantation Proceedings. 37(4). 1962–1964. 4 indexed citations

Erickson, Laurie, et al.. (2005). Down-Regulation of TGF-β and VCAM-1 Is Associated With Successful Treatment of Chronic Rejection in Rats. Transplantation Proceedings. 37(4). 1926–1928. 17 indexed citations

10.

Erickson, Laurie, et al.. (2004). Unique gene expression profiles of heart allograft rejection in the interferon regulatory factor-1-deficient mouse. Transplant Immunology. 13(3). 169–175. 9 indexed citations

11.

Erickson, Laurie, Fan Pan, Aaron Ebbs, Masakazu Kobayashi, & Hongsi Jiang. (2003). Microarray-based gene expression profiles of allograft rejection and immunosuppression in the rat heart transplantation model. Transplantation. 76(3). 582–588. 29 indexed citations

12.

Pan, Fan, Aaron Ebbs, Laurie Erickson, et al.. (2003). FK778, a powerful new immunosuppressant, effectively reduces functional and histologic changes of chronic rejection in rat renal allografts. Transplantation. 75(8). 1110–1114. 32 indexed citations

13.

Knowles, Joshua W., et al.. (2003). Common variations in noncoding regions of the human natriuretic peptide receptor A gene have quantitative effects. Human Genetics. 112(1). 62–70. 37 indexed citations

14.

Erickson, Laurie, et al.. (2002). Gene expression profiling of acute rejection and mixed lymphocyte reaction with tacrolimus immunosuppression. Transplantation Proceedings. 34(5). 1385–1386. 3 indexed citations

15.

Ebbs, Aaron, et al.. (2002). Tacrolimus treats ongoing allograft rejection by inhibiting interleukin-10 mediated functional cytotoxic cell infiltration. Transplantation Proceedings. 34(5). 1378–1381. 4 indexed citations

16.

Pan, Fan, et al.. (2002). High level of TGF-β in organ transplantation might be due to rejection rather than calcineurin inhibitor medication. Transplantation Proceedings. 34(5). 1387–1389. 3 indexed citations

17.

Erickson, Laurie, Yang Xun, Fan Pan, Masakazu Kobayashi, & Hongsi Jiang. (2001). Gene expression profiles of rat heart allografts with immunosuppression. Transplantation Proceedings. 33(1-2). 562–566. 3 indexed citations

18.

Erickson, Laurie & Nobuyo Maeda. (1995). A New Family of Retroviral Long Terminal Repeat Elements in the Human Genome Identified by Their Homologies to an Element 5′ to the Spider Monkey Haptoglobin Gene. Genomics. 27(3). 531–534. 4 indexed citations

19.

Erickson, Laurie & Nobuyo Maeda. (1994). Parallel Evolutionary Events in the Haptoglobin Gene Clusters of Rhesus Monkey and Human. Genomics. 22(3). 579–589. 9 indexed citations

20.

Erickson, Laurie, Hyung‐Suk Kim, & Nobuyo Maeda. (1992). Junctions between genes in the haptoglobin gene cluster of primates. Genomics. 14(4). 948–958. 22 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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