Samuel B. Ho

19.9k total citations · 4 hit papers
209 papers, 11.8k citations indexed

About

Samuel B. Ho is a scholar working on Epidemiology, Molecular Biology and Surgery. According to data from OpenAlex, Samuel B. Ho has authored 209 papers receiving a total of 11.8k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Epidemiology, 61 papers in Molecular Biology and 52 papers in Surgery. Recurrent topics in Samuel B. Ho's work include Liver Disease Diagnosis and Treatment (55 papers), Hepatitis C virus research (42 papers) and Glycosylation and Glycoproteins Research (36 papers). Samuel B. Ho is often cited by papers focused on Liver Disease Diagnosis and Treatment (55 papers), Hepatitis C virus research (42 papers) and Glycosylation and Glycoproteins Research (36 papers). Samuel B. Ho collaborates with scholars based in United States, United Arab Emirates and Japan. Samuel B. Ho's co-authors include Young S. Kim, Eric Dieperink, Jane K. Willenbring, Neil W. Toribara, Bernd Schnabl, Peter Stärkel, Elizabeth T. Gum, Paul Thuras, Laurie L. Shekels and David L. Cherwitz and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Samuel B. Ho

204 papers receiving 11.5k citations

Hit Papers

Intestinal Goblet Cells a... 1993 2026 2004 2015 2010 1993 2015 2021 250 500 750 1000

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Samuel B. Ho 4.4k 3.1k 1.9k 1.9k 1.8k 209 11.8k
Zamir Halpern 3.7k 0.8× 3.6k 1.2× 1.4k 0.7× 2.5k 1.3× 1.5k 0.8× 244 12.7k
Giuseppe Montalto 3.7k 0.8× 2.5k 0.8× 1.4k 0.8× 2.9k 1.6× 869 0.5× 346 11.7k
Hiroshi Fukui 6.1k 1.4× 4.9k 1.6× 3.7k 2.0× 2.4k 1.3× 1.3k 0.7× 324 15.1k
Sumio Watanabe 2.2k 0.5× 2.8k 0.9× 1.4k 0.8× 2.6k 1.4× 925 0.5× 384 9.1k
Dermot Kelleher 2.4k 0.6× 1.8k 0.6× 843 0.5× 2.3k 1.3× 2.4k 1.3× 228 9.9k
Maikel P. Peppelenbosch 9.4k 2.1× 2.8k 0.9× 1.7k 0.9× 2.9k 1.6× 4.0k 2.2× 531 22.1k
Jonathan M. Rhodes 5.4k 1.2× 1.9k 0.6× 678 0.4× 2.2k 1.2× 2.3k 1.3× 182 10.9k
Carlo Selmi 2.3k 0.5× 5.0k 1.6× 4.8k 2.6× 2.7k 1.5× 3.3k 1.8× 386 15.0k
Jochen Hampe 3.8k 0.9× 3.8k 1.2× 886 0.5× 3.5k 1.9× 3.2k 1.8× 285 13.3k
Tao Li 3.4k 0.8× 1.4k 0.4× 803 0.4× 1.5k 0.8× 1.1k 0.6× 614 9.3k

Countries citing papers authored by Samuel B. Ho

Since Specialization
Citations

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

Fields of papers citing papers by Samuel B. Ho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel B. Ho. 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 Samuel B. Ho. The network helps show where Samuel B. Ho may publish in the future.

Co-authorship network of co-authors of Samuel B. Ho

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel B. Ho. A scholar is included among the top collaborators of Samuel B. Ho 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 Samuel B. Ho. Samuel B. Ho 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
3.
Gholami, Mandana, et al.. (2023). The COVID-19 Pandemic and Health and Care Workers: Findings From a Systematic Review and Meta-Analysis (2020–2021). International Journal of Public Health. 68. 1605421–1605421. 8 indexed citations
4.
Ho, Samuel B., et al.. (2022). Drug-induced acute pancreatitis in a bodybuilder: a case report. Journal of Medical Case Reports. 16(1). 114–114.
5.
Gupta, Shreya, et al.. (2021). COVID‐19 under 19: A meta‐analysis. Pediatric Pulmonology. 56(6). 1332–1341. 24 indexed citations
6.
Khamis, Amar Hassan, et al.. (2021). Clinical Characteristics of Children With COVID-19 in the United Arab Emirates: Cross-sectional Multicenter Study. JMIR Pediatrics and Parenting. 4(4). e29049–e29049. 4 indexed citations
7.
Garcia‐Carbonell, Ricard, Jerry Wong, Ju Youn Kim, et al.. (2018). Elevated A20 promotes TNF-induced and RIPK1-dependent intestinal epithelial cell death. Proceedings of the National Academy of Sciences. 115(39). E9192–E9200. 75 indexed citations
8.
Hendrikx, Tim, Yi Duan, Yanhan Wang, et al.. (2018). Bacteria engineered to produce IL-22 in intestine induce expression of REG3G to reduce ethanol-induced liver disease in mice. Gut. 68(8). 1504–1515. 268 indexed citations
9.
Davis, Sharon E., Sharidan K. Parr, Daniel Fabbri, et al.. (2018). Development of an automated phenotyping algorithm for hepatorenal syndrome. Journal of Biomedical Informatics. 80. 87–95. 28 indexed citations
10.
Horn, Thomas, Stéphane Ferretti, Nicolas Ebel, et al.. (2016). High-Order Drug Combinations Are Required to Effectively Kill Colorectal Cancer Cells. Cancer Research. 76(23). 6950–6963. 24 indexed citations
11.
López-Sánchez, Inmaculada, Ying Dunkel, Yash Mittal, et al.. (2014). GIV/Girdin is a central hub for profibrogenic signalling networks during liver fibrosis. Nature Communications. 5(1). 4451–4451. 76 indexed citations
12.
Groessl, Erik J., Kimberly Weingart, Allen L. Gifford, Steven M. Asch, & Samuel B. Ho. (2010). Development of the Hepatitis C Self-Management Program. Patient Education and Counseling. 83(2). 252–255. 10 indexed citations
13.
Bond, John H., et al.. (2007). Evaluating Follow-Up of Positive Fecal Occult Blood Test Results: Lessons Learned. Journal for Healthcare Quality. 29(5). 16–20. 10 indexed citations
14.
Hashimoto, Koichi, Joan E. Durbin, Weisong Zhou, et al.. (2005). Respiratory syncytial virus infection in the absence of STAT1 results in airway dysfunction, airway mucus, and augmented IL-17 levels. Journal of Allergy and Clinical Immunology. 116(3). 550–557. 99 indexed citations
15.
Hashimoto, Koichi, Barney S. Graham, Samuel B. Ho, et al.. (2004). Respiratory Syncytial Virus in Allergic Lung Inflammation Increases Muc5ac and Gob-5. American Journal of Respiratory and Critical Care Medicine. 170(3). 306–312. 102 indexed citations
16.
Sahoo, Daisy, Teddy Chan, Victor A. Drover, et al.. (2004). ABCA1-dependent lipid efflux to apolipoprotein A-I mediates HDL particle formation and decreases VLDL secretion from murine hepatocytes. Journal of Lipid Research. 45(6). 1122–1131. 80 indexed citations
17.
Dieperink, Eric, et al.. (2004). Suicidal ideation during interferon-α2b and ribavirin treatment of patients with chronic hepatitis C. General Hospital Psychiatry. 26(3). 237–240. 94 indexed citations
18.
Miller, Allison L., Robert M. Strieter, Achim D. Gruber, Samuel B. Ho, & Nicholas W. Lukacs. (2003). CXCR2 Regulates Respiratory Syncytial Virus-Induced Airway Hyperreactivity and Mucus Overproduction. The Journal of Immunology. 170(6). 3348–3356. 89 indexed citations
19.
Temann, Ulla-Angela, Marianne Gallup, Carol Basbaum, et al.. (1997). A Novel Role for Murine IL-4 In Vivo: Induction of MUC5AC Gene Expression and Mucin Hypersecretion. American Journal of Respiratory Cell and Molecular Biology. 16(4). 471–478. 234 indexed citations
20.
Ho, Samuel B., et al.. (1994). Stable differentiation of a human colon adenocarcinoma cell line by sodium butyrate is associated with multidrug resistance. Journal of Cellular Physiology. 160(2). 213–226. 36 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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