Michael S. Hwang

1.5k total citations
19 papers, 566 citations indexed

About

Michael S. Hwang is a scholar working on Oncology, Surgery and Molecular Biology. According to data from OpenAlex, Michael S. Hwang has authored 19 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 4 papers in Surgery and 4 papers in Molecular Biology. Recurrent topics in Michael S. Hwang's work include Monoclonal and Polyclonal Antibodies Research (4 papers), Genomics, phytochemicals, and oxidative stress (2 papers) and CAR-T cell therapy research (2 papers). Michael S. Hwang is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (4 papers), Genomics, phytochemicals, and oxidative stress (2 papers) and CAR-T cell therapy research (2 papers). Michael S. Hwang collaborates with scholars based in United States, Australia and United Kingdom. Michael S. Hwang's co-authors include Pauline W. Wang, Sara F. Sarkar, Robyn L. Morgan, David S. Guttman, Rachid Skouta, Armando Varela‐Ramírez, Bert Vogelstein, Sandra B. Gabelli, Nickolas Papadopoulos and Kenneth W. Kinzler and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Michael S. Hwang

17 papers receiving 552 citations

Peers

Michael S. Hwang
Xiarong Shi United States
Hanbing An United States
Jong Ho Park South Korea
Nasséra Aouali Luxembourg
Peter Peterson United States
Xiarong Shi United States
Michael S. Hwang
Citations per year, relative to Michael S. Hwang Michael S. Hwang (= 1×) peers Xiarong Shi

Countries citing papers authored by Michael S. Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Michael S. Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael S. Hwang. 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 Michael S. Hwang. The network helps show where Michael S. Hwang may publish in the future.

Co-authorship network of co-authors of Michael S. Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Michael S. Hwang. A scholar is included among the top collaborators of Michael S. Hwang 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 Michael S. Hwang. Michael S. Hwang 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.
Tang, Weifeng, Raj Tummala, J.O. Almquist, et al.. (2023). Clinical Pharmacokinetics, Pharmacodynamics, and Immunogenicity of Anifrolumab. Clinical Pharmacokinetics. 62(5). 655–671. 6 indexed citations
2.
Hwang, Michael S., Yen Lin Chia, Zhijian He, et al.. (2022). Population pharmacokinetic modelling of tremelimumab in patients with advanced solid tumours and the impact of disease status on time‐varying clearance. British Journal of Clinical Pharmacology. 89(5). 1601–1616. 8 indexed citations
3.
Collins, Katrina, Sheila Segura, & Michael S. Hwang. (2022). Endocrine cell micronests in an ovarian mucinous borderline tumor: a potential diagnostic pitfall for microinvasion. Diagnostic Pathology. 17(1). 37–37. 1 indexed citations
4.
Chandra, Raghav, et al.. (2022). Gemella morbillorum mitral valve endocarditis in a patient with a history of mitral valve annuloplasty. BMJ Case Reports. 15(4). e247033–e247033.
5.
Kiess, Ana P., Michael S. Hwang, Karim Boudadi, et al.. (2022). Dynamic cell free HPV DNA is an early measure of treatment responsiveness in patients receiving induction chemotherapy for HPV-related head and neck cancer.. Journal of Clinical Oncology. 40(16_suppl). 6062–6062.
6.
Paul, Suman, Alexander H. Pearlman, Jacqueline Douglass, et al.. (2021). TCR β chain–directed bispecific antibodies for the treatment of T cell cancers. Science Translational Medicine. 13(584). 29 indexed citations
7.
Hwang, Michael S., Brian J. Mog, Jacqueline Douglass, et al.. (2021). Targeting loss of heterozygosity for cancer-specific immunotherapy. Proceedings of the National Academy of Sciences. 118(12). 46 indexed citations
8.
Collins, Katrina, et al.. (2021). Renal Replacement Lipomatosis Presenting in the Setting of Ureteral Stricture with Absence of Renal Calculus Disease. SHILAP Revista de lepidopterología. 2021. 1–4. 3 indexed citations
9.
Miller, Michelle S., Jacqueline Douglass, Michael S. Hwang, et al.. (2019). An engineered antibody fragment targeting mutant β-catenin via major histocompatibility complex I neoantigen presentation. Journal of Biological Chemistry. 294(50). 19322–19334. 14 indexed citations
10.
Hwang, Michael S., Jeremy A. Ross, Rachid Skouta, et al.. (2019). Green barley mitigates cytotoxicity in human lymphocytes undergoing aggressive oxidative stress, via activation of both the Lyn/PI3K/Akt and MAPK/ERK pathways. Scientific Reports. 9(1). 6005–6005. 32 indexed citations
11.
Skupsky, Jonathan, Subrata Sabui, Manando Nakasaki, et al.. (2019). Su1817 – Biotin Supplementation Ameliorates Murine Colitis by Maintaining Intestinal Mucosal Integrity. Gastroenterology. 156(6). S–623. 1 indexed citations
12.
Puett, Connor, Alexander W. Tucker, Christina R. Inscoe, et al.. (2019). Visualizing microcalcifications in lumpectomy specimens: an exploration into the clinical potential of carbon nanotube-enabled stationary digital breast tomosynthesis. Biomedical Physics & Engineering Express. 5(4). 45040–45040. 1 indexed citations
13.
Celli, Romulo, Hui Pei, Sidney T. Bogardus, et al.. (2018). Clinical Insignficance of Monoclonal T-Cell Populations and Duodenal Intraepithelial T-Cell Phenotypes in Celiac and Nonceliac Patients. The American Journal of Surgical Pathology. 43(2). 151–160. 18 indexed citations
14.
Kuzmiak, Cherie M., et al.. (2016). Male Pectoral Implants: Radiographic Appearance of Complications. Journal of Radiology Case Reports. 10(3). 11–19. 1 indexed citations
15.
Kabiraj, Parijat, Carlos A. Valenzuela, Michael S. Hwang, et al.. (2015). The Neuroprotective Role of Ferrostatin-1 Under Rotenone-Induced Oxidative Stress in Dopaminergic Neuroblastoma Cells. The Protein Journal. 34(5). 349–358. 62 indexed citations
16.
Skora, Andrew D., Jacqueline Douglass, Michael S. Hwang, et al.. (2015). Generation of MANAbodies specific to HLA-restricted epitopes encoded by somatically mutated genes. Proceedings of the National Academy of Sciences. 112(32). 9967–9972. 38 indexed citations
17.
Hwang, Michael S., Robyn L. Morgan, Sara F. Sarkar, Pauline W. Wang, & David S. Guttman. (2005). Phylogenetic Characterization of Virulence and Resistance Phenotypes of Pseudomonas syringae. Applied and Environmental Microbiology. 71(9). 5182–5191. 229 indexed citations
18.
Telatar, Milhan, et al.. (1999). New mutations, polymorphisms, and rare variants in theATM gene detected by a novel SSCP strategy. Human Mutation. 14(2). 156–162. 56 indexed citations
19.
Tieu, Phuong T., Gideon Bach, Anna Matynia, Michael S. Hwang, & Elizabeth F. Neufeld. (1995). Four novel mutations underlying mild or intermediate forms of α-L-iduronidase deficiency (MPS IS and MPS IH/S). Human Mutation. 6(1). 55–59. 21 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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