J. Pearcey

506 total citations
18 papers, 408 citations indexed

About

J. Pearcey is a scholar working on Surgery, Molecular Biology and Transplantation. According to data from OpenAlex, J. Pearcey has authored 18 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 6 papers in Molecular Biology and 5 papers in Transplantation. Recurrent topics in J. Pearcey's work include Transplantation: Methods and Outcomes (6 papers), Renal Transplantation Outcomes and Treatments (5 papers) and Blood groups and transfusion (4 papers). J. Pearcey is often cited by papers focused on Transplantation: Methods and Outcomes (6 papers), Renal Transplantation Outcomes and Treatments (5 papers) and Blood groups and transfusion (4 papers). J. Pearcey collaborates with scholars based in Canada, United States and Australia. J. Pearcey's co-authors include Charles T. Putman, Dirk Pette, Ian M. MacLean, Mónika Kiricsi, Gordon K. Murdoch, Walter T. Dixon, Todd L. Lowary, Jeremy Andrew Bamford, Ruokun Zhou and Ruixiang Blake Zheng and has published in prestigious journals such as The Journal of Physiology, Transplantation and American Journal of Physiology-Regulatory, Integrative and Comparative Physiology.

In The Last Decade

J. Pearcey

16 papers receiving 406 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Pearcey Canada 9 249 110 110 75 49 18 408
Mika Nakano Japan 7 272 1.1× 98 0.9× 33 0.3× 53 0.7× 46 0.9× 11 371
Susan Peng United States 8 197 0.8× 29 0.3× 77 0.7× 36 0.5× 17 0.3× 8 375
Kristin L. Andrews United States 17 424 1.7× 169 1.5× 67 0.6× 22 0.3× 17 0.3× 25 621
Odile Moreau France 9 199 0.8× 48 0.4× 23 0.2× 59 0.8× 40 0.8× 14 399
Wenxue Wang China 11 183 0.7× 47 0.4× 20 0.2× 53 0.7× 31 0.6× 29 405
Yi‐Hsuan Wang Taiwan 14 165 0.7× 19 0.2× 39 0.4× 64 0.9× 16 0.3× 33 391
Jianmei Wei United States 11 313 1.3× 65 0.6× 111 1.0× 210 2.8× 32 0.7× 17 533
Toshihiko Maruyama Japan 7 165 0.7× 45 0.4× 57 0.5× 105 1.4× 23 0.5× 7 388
Nitu Singh India 11 194 0.8× 26 0.2× 64 0.6× 20 0.3× 12 0.2× 27 364
Kiyoshi Okano Japan 13 158 0.6× 15 0.1× 134 1.2× 56 0.7× 51 1.0× 29 599

Countries citing papers authored by J. Pearcey

Since Specialization
Citations

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

Fields of papers citing papers by J. Pearcey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Pearcey

This figure shows the co-authorship network connecting the top 25 collaborators of J. Pearcey. A scholar is included among the top collaborators of J. Pearcey 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 J. Pearcey. J. Pearcey 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.
Li, Carol, et al.. (2025). Unmasking the ABO Antibody Ingredient List in IVIg Preparations. American Journal of Transplantation. 25(8). S543–S543.
2.
Halpin, Anne, Cathi Murphey, Bruce Motyka, et al.. (2025). Multiplex bead immunoassay in ABO-A2-incompatible kidney transplantation. American Journal of Transplantation. 25(9). 1884–1894. 1 indexed citations
3.
4.
Halpin, Anne, J. Pearcey, Bruce Motyka, et al.. (2020). Better ABO Antibody Detection Tools to Facilitate ABO-Incompatible Transplant Risk Assessment. The Journal of Heart and Lung Transplantation. 39(4). S221–S222. 2 indexed citations
5.
Pearcey, J., et al.. (2020). FEMALE COMPLEXITY: HIGH ‘NATURAL’ ABO ANTI-A ANTIBODIES AND IGG CLASS SWITCH IN FEMALE VS MALE MICE. Transplantation. 104(S3). S123–S123. 1 indexed citations
6.
Motyka, Bruce, J. Pearcey, K. Tao, et al.. (2018). MHC-Matched A-Expressing Blood Cells Induce ABO Tolerance in Infant and Adult Mice. Transplantation. 102(Supplement 7). S292–S292. 1 indexed citations
7.
Halpin, Anne, J. Pearcey, Todd L. Lowary, et al.. (2018). OR34 Modernizing ABO antibody detection: Development of a bead-based ABO antibody detection assay. Human Immunology. 79. 40–40. 1 indexed citations
8.
Dijke, E., et al.. (2017). Regulation of Human CD27+IgM+ B Cell Activation by Cis-Binding of the Inhibitory Molecule CD22 to CD22 Ligand (CD22L). Transplantation. 101(5S-3). S5–S5. 1 indexed citations
9.
Motyka, Bruce, Nella Fisicaro, K. Tao, et al.. (2016). Antibody-Mediated Rejection in a Blood Group A-Transgenic Mouse Model of ABO-Incompatible Heart Transplantation. Transplantation. 100(6). 1228–1237. 3 indexed citations
10.
Dijke, E., Romy E. Hoeppli, J. Pearcey, et al.. (2015). Discarded Human Thymus Is a Novel Source of Stable and Long-Lived Therapeutic Regulatory T Cells. American Journal of Transplantation. 16(1). 58–71. 75 indexed citations
11.
Pearcey, J., et al.. (2011). Carbasugar Analogues of Galactofuranosides: Pseudodisaccharide Mimics of Fragments of Mycobacterial Arabinogalactan. European Journal of Organic Chemistry. 2011(7). 1367–1375. 17 indexed citations
12.
Vembaiyan, Kannan, et al.. (2010). Synthesis of sugar–amino acid–nucleosides as potential glycosyltransferase inhibitors. Bioorganic & Medicinal Chemistry. 19(1). 58–66. 23 indexed citations
13.
Beláňová, Martina, Petronela Dianišková, Ruokun Zhou, et al.. (2010). Synthetic UDP-Furanoses as Potent Inhibitors of Mycobacterial Galactan Biogenesis. Chemistry & Biology. 17(12). 1356–1366. 42 indexed citations
14.
Rose, Natisha L., Ruixiang Blake Zheng, J. Pearcey, et al.. (2008). Development of a coupled spectrophotometric assay for GlfT2, a bifunctional mycobacterial galactofuranosyltransferase. Carbohydrate Research. 343(12). 2130–2139. 47 indexed citations
15.
Putman, Charles T., Karen J. B. Martins, Maria Eugênia Noviski Gallo, et al.. (2007). α-Catalytic subunits of 5′AMP-activated protein kinase display fiber-specific expression and are upregulated by chronic low-frequency stimulation in rat muscle. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 293(3). R1325–R1334. 20 indexed citations
16.
Putman, Charles T., Walter T. Dixon, J. Pearcey, et al.. (2004). Chronic low-frequency stimulation upregulates uncoupling protein-3 in transforming rat fast-twitch skeletal muscle. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 287(6). R1419–R1426. 21 indexed citations
17.
Putman, Charles T., Mónika Kiricsi, J. Pearcey, et al.. (2003). AMPK activation increases uncoupling protein-3 expression and mitochondrial enzyme activities in rat muscle without fibre type transitions. The Journal of Physiology. 551(1). 169–178. 70 indexed citations
18.
Putman, Charles T., Mónika Kiricsi, J. Pearcey, et al.. (2003). AMPK activation increases uncoupling protein-3 expression and mitochondrial enzyme activities in rat muscle without fibre type transitions. The Journal of Physiology. 551(1). 169–178. 83 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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