Henry J. Lin

14.6k total citations · 2 hit papers
90 papers, 4.2k citations indexed

About

Henry J. Lin is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Henry J. Lin has authored 90 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 17 papers in Genetics and 12 papers in Surgery. Recurrent topics in Henry J. Lin's work include RNA and protein synthesis mechanisms (5 papers), Glutathione Transferases and Polymorphisms (5 papers) and Endoplasmic Reticulum Stress and Disease (5 papers). Henry J. Lin is often cited by papers focused on RNA and protein synthesis mechanisms (5 papers), Glutathione Transferases and Polymorphisms (5 papers) and Endoplasmic Reticulum Stress and Disease (5 papers). Henry J. Lin collaborates with scholars based in United States, China and Canada. Henry J. Lin's co-authors include Zachary A. Knight, Kevan M. Shokat, Bruce K. Lin, Brian K. Shoichet, Chun-Ya Han, Bryan L. Roth, Maria F. Sassano, Dipendra K. Aryal, Peter Gmeiner and Xi‐Ping Huang and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Henry J. Lin

87 papers receiving 4.0k citations

Hit Papers

Structure-based discovery of opioid analgesics with re... 2010 2026 2015 2020 2016 2010 200 400 600

Peers

Henry J. Lin
Igor F. Tsigelny United States
Abdul H. Fauq United States
Peter Hodder United States
Xiaodong Cheng United States
Ronald L. Magolda United States
Lawrence C. Fritz United States
Huijun Wei United States
Helen Reddy United Kingdom
Juan Marugán United States
Raj Kumar United States
Igor F. Tsigelny United States
Henry J. Lin
Citations per year, relative to Henry J. Lin Henry J. Lin (= 1×) peers Igor F. Tsigelny

Countries citing papers authored by Henry J. Lin

Since Specialization
Citations

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

Fields of papers citing papers by Henry J. Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Henry J. Lin

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

All Works

20 of 20 papers shown
1.
Parcha, Vibhu, Akhil Pampana, Naman S. Shetty, et al.. (2022). Association of a Multiancestry Genome-Wide Blood Pressure Polygenic Risk Score With Adverse Cardiovascular Events. Circulation Genomic and Precision Medicine. 15(6). e003946–e003946. 14 indexed citations
2.
Lin, Henry J., et al.. (2022). Glucose-6-phosphate dehydrogenase deficiency presenting with rhabdomyolysis in a patient with coronavirus disease 2019 pneumonia: a case report. Journal of Medical Case Reports. 16(1). 106–106. 4 indexed citations
3.
Li, Taibo, Benjamin J. Strober, Marios Arvanitis, et al.. (2022). Abstract 11946: Prioritization of Multiomic Rare Variants (RVs) Underlying Electrocardiogram (EKG) Traits Using Bayesian Hierarchical Modeling (“Watershed”). Circulation. 146(Suppl_1). 2 indexed citations
5.
Calhoun, Sara, Magdalena Korczynska, Brian San Francisco, et al.. (2018). Prediction of enzymatic pathways by integrative pathway mapping. eLife. 7. 30 indexed citations
6.
Sanghez, Valentina, Shan Li, Tsui‐Fen Chou, et al.. (2018). Efficacy of Asparaginase Erwinia chrysanthemi With and Without Temozolomide Against Glioma Cells and Intracranial Mouse Medulloblastoma. Anticancer Research. 38(5). 2627–2634. 6 indexed citations
7.
Gallant, Natalie M., Yael Wilnai, Fred Lorey, et al.. (2017). Biochemical characteristics of newborns with carnitine transporter defect identified by newborn screening in California. Molecular Genetics and Metabolism. 122(3). 76–84. 20 indexed citations
8.
Lin, Henry J., Gareth Lema, & Pradeepa Yoganathan. (2015). PROGNOSTIC INDICATORS OF VISUAL ACUITY AFTER OPEN GLOBE INJURY AND RETINAL DETACHMENT REPAIR. Retina. 36(4). 750–757. 14 indexed citations
9.
Panosyan, Eduard H., Yuntao Wang, Wai‐Nang Paul Lee, et al.. (2014). Asparagine Depletion Potentiates the Cytotoxic Effect of Chemotherapy against Brain Tumors. Molecular Cancer Research. 12(5). 694–702. 58 indexed citations
10.
Chou, Tsui‐Fen, Stacie L. Bulfer, Conrad C. Weihl, et al.. (2014). Specific Inhibition of p97/VCP ATPase and Kinetic Analysis Demonstrate Interaction between D1 and D2 ATPase Domains. Journal of Molecular Biology. 426(15). 2886–2899. 97 indexed citations
11.
Lin, Henry J., et al.. (2011). Extremely high phenylalanine levels in a newborn on parenteral nutrition: phenylketonuria in the neonatal intensive care unit. Journal of Perinatology. 31(7). 507–510. 10 indexed citations
12.
Olaharski, Andrew, Nina Gonzaludo, Rama K. Kondru, et al.. (2010). Modeling Bone Marrow Toxicity Using Kinase Structural Motifs and the Inhibition Profiles of Small Molecular Kinase Inhibitors. Toxicological Sciences. 118(1). 266–275. 9 indexed citations
13.
Kanaoka, Yoshihide, Naomi Eguchi, Kosuke Aritake, et al.. (2007). Hematopoietic Prostaglandin D Synthase Suppresses Intestinal Adenomas in Apc Min/+ Mice. Cancer Research. 67(3). 881–889. 48 indexed citations
14.
Casas, Kari, Tarja Mononen, Susan J. Hassed, et al.. (2004). Chromosome 2q terminal deletion: Report of 6 new patients and review of phenotype‐breakpoint correlations in 66 individuals. American Journal of Medical Genetics Part A. 130A(4). 331–339. 70 indexed citations
15.
Dickson, Patricia, et al.. (2004). Costello syndrome with pancreatic islet cell hyperplasia. American Journal of Medical Genetics Part A. 130A(4). 402–405. 13 indexed citations
16.
Lin, Henry J., Ann-Sofie Johansson, Gun Stenberg, et al.. (2003). Naturally occurring Phe151Leu substitution near a conserved folding module lowers stability of glutathione transferase P1–1. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1649(1). 16–23. 11 indexed citations
17.
Lin, Henry J., N M Probst-Hensch, Andrew D. Louie, et al.. (1998). Glutathione transferase null genotype, broccoli, and lower prevalence of colorectal adenomas.. PubMed. 7(8). 647–52. 178 indexed citations
18.
Lin, Henry J., et al.. (1995). Microdontia with severe microcephaly and short stature in two brothers: Osteodysplastic primordial dwarfism with dental findings. American Journal of Medical Genetics. 58(2). 136–142. 10 indexed citations
19.
Han, Chun-Ya, Bruce K. Lin, & Henry J. Lin. (1992). Methanol for preparing hair bulbs for PCR. Nucleic Acids Research. 20(23). 6419–6420. 6 indexed citations
20.
Epstein, Neal D., Henry J. Lin, & Lameh Fananapazir. (1990). Genetic evidence of dissociation (generational skips) of electrical from morphologic forms of hypertrophic cardiomyopathy. The American Journal of Cardiology. 66(5). 627–631. 18 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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