Edward So

663 total citations
19 papers, 507 citations indexed

About

Edward So is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Edward So has authored 19 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 8 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Molecular Biology. Recurrent topics in Edward So's work include Monoclonal and Polyclonal Antibodies Research (8 papers), T-cell and B-cell Immunology (5 papers) and Immune Cell Function and Interaction (3 papers). Edward So is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (8 papers), T-cell and B-cell Immunology (5 papers) and Immune Cell Function and Interaction (3 papers). Edward So collaborates with scholars based in United States, China and Russia. Edward So's co-authors include Scott E. Strome, John W. Harney, Marcelo A. Christoffolete, Shaodong Chen, Xiaoyu Zhang, P. Reed Larsen, Sheue-yann Cheng, Antônio C. Bianco, Hao Ying and Ann Marie Zavacki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Edward So

18 papers receiving 503 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edward So United States 11 190 147 113 99 76 19 507
Vibor Petkovic Switzerland 13 288 1.5× 195 1.3× 149 1.3× 129 1.3× 104 1.4× 27 682
Mallory L. West United States 8 220 1.2× 373 2.5× 35 0.3× 165 1.7× 47 0.6× 13 734
Setsuko Ii Japan 12 303 1.6× 68 0.5× 121 1.1× 33 0.3× 162 2.1× 13 643
Anita Maász Hungary 15 184 1.0× 110 0.7× 216 1.9× 61 0.6× 137 1.8× 45 682
Donald E. Fleenor United States 14 248 1.3× 76 0.5× 106 0.9× 23 0.2× 77 1.0× 20 503
Mamdouh H. Kedees United States 15 249 1.3× 77 0.5× 194 1.7× 47 0.5× 99 1.3× 26 624
Noriko Yamano Japan 13 375 2.0× 33 0.2× 31 0.3× 62 0.6× 144 1.9× 39 665
Evie Melanitou France 13 237 1.2× 212 1.4× 176 1.6× 17 0.2× 297 3.9× 30 674
Maristella Steri Italy 11 216 1.1× 60 0.4× 75 0.7× 14 0.1× 114 1.5× 24 516

Countries citing papers authored by Edward So

Since Specialization
Citations

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

Fields of papers citing papers by Edward So

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edward So

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

All Works

19 of 19 papers shown
1.
Yu, Hua, Lydia K. Nyasae, Wenyan Lü, et al.. (2025). Development of a Dihydrofolate Reductase Selection System for Saccharomyces boulardii. International Journal of Molecular Sciences. 26(5). 2073–2073.
2.
So, Edward, Hua Zhou, Erin Burch, et al.. (2023). Complement component C1q is an immunological rheostat that regulates Fc:Fc$$\gamma$$R interactions. Immunogenetics. 75(4). 369–383. 2 indexed citations
3.
So, Edward, Yaping Ji, Yang Song, et al.. (2019). NK cell expression of Tim-3: First impressions matter. Immunobiology. 224(3). 362–370. 41 indexed citations
4.
Zhang, Xiaoyu, Jane Owens, Henrik S. Olsen, et al.. (2019). A recombinant human IgG1 Fc multimer designed to mimic the active fraction of IVIG in autoimmunity. JCI Insight. 4(2). 24 indexed citations
5.
Laird, Christopher, Lars Burdorf, Xiangfei Cheng, et al.. (2017). Transgenic expression of human leukocyte antigen‐E attenuates GalKO.hCD46 porcine lung xenograft injury. Xenotransplantation. 24(2). 36 indexed citations
6.
Olsen, Henrik S., Edward So, Erin Burch, et al.. (2017). Recombinant human IgG1 based Fc multimers, with limited FcR binding capacity, can effectively inhibit complement-mediated disease. Journal of Autoimmunity. 84. 97–108. 16 indexed citations
7.
Zhou, Hua, Henrik S. Olsen, Edward So, et al.. (2017). A fully recombinant human IgG1 Fc multimer (GL-2045) inhibits complement-mediated cytotoxicity and induces iC3b. Blood Advances. 1(8). 504–515. 25 indexed citations
8.
Chen, Shaodong, Edward So, Scott E. Strome, & Xiaoyu Zhang. (2015). Impact of Detachment Methods on M2 Macrophage Phenotype and Function. Journal of Immunological Methods. 426. 56–61. 47 indexed citations
9.
Zhang, Xiaoyu, Henrik S. Olsen, Shaodong Chen, et al.. (2015). Anti-CD20 Antibody with Multimerized Fc Domains: A Novel Strategy To Deplete B Cells and Augment Treatment of Autoimmune Disease. The Journal of Immunology. 196(3). 1165–1176. 8 indexed citations
10.
Sallin, Michelle A., Xiaoyu Zhang, Edward So, et al.. (2014). The anti-lymphoma activities of anti-CD137 monoclonal antibodies are enhanced in FcγRIII−/− mice. Cancer Immunology Immunotherapy. 63(9). 947–958. 5 indexed citations
11.
Jain, Ajay, Bhawna Poonia, Edward So, et al.. (2013). Tumour antigen targeted monoclonal antibodies incorporating a novel multimerisation domain significantly enhance antibody dependent cellular cytotoxicity against colon cancer. European Journal of Cancer. 49(15). 3344–3352. 7 indexed citations
12.
So, Edward, Michelle A. Sallin, Xiaoyu Zhang, et al.. (2013). A high throughput method for enrichment of natural killer cells and lymphocytes and assessment of in vitro cytotoxicity. Journal of Immunological Methods. 394(1-2). 40–48. 8 indexed citations
13.
Zhang, Xiaoyu, Erin Burch, Ling Cai, et al.. (2013). CD40 Mediates Downregulation of CD32B on Specific Memory B Cell Populations in Rheumatoid Arthritis. The Journal of Immunology. 190(12). 6015–6022. 16 indexed citations
15.
Zavacki, Ann Marie, Hao Ying, Marcelo A. Christoffolete, et al.. (2005). Type 1 Iodothyronine Deiodinase Is a Sensitive Marker of Peripheral Thyroid Status in the Mouse. Endocrinology. 146(3). 1568–1575. 116 indexed citations
16.
Kim, Sung Woo, et al.. (2004). A Novel Cell Type-Specific Mechanism for Thyroid Hormone-Dependent Negative Regulation of the Human Type 1 Deiodinase Gene. Molecular Endocrinology. 18(12). 2924–2936. 10 indexed citations
17.
Zhu, Xuehua, Li Wang, Xiaolong Jin, et al.. (1999). Distinct leukemia phenotypes in transgenic mice and different corepressor interactions generated by promyelocytic leukemia variant fusion genes PLZF–RAR α and NPM–RAR α. Proceedings of the National Academy of Sciences. 96(11). 6318–6323. 80 indexed citations
18.
Chen, Laishun, et al.. (1999). Decrease of hepatic catalase level by treatment with diallyl sulfide and garlic homogenates in rats and mice. Journal of Biochemical and Molecular Toxicology. 13(3-4). 127–134. 32 indexed citations
19.
Chen, Laishun, et al.. (1999). Decrease of hepatic catalase level by treatment with diallyl sulfide and garlic homogenates in rats and mice. Journal of Biochemical and Molecular Toxicology. 13(34). 127–134. 4 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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