Daniel Ho

18 papers receiving 2.2k citations

Hit Papers

p53 inhibits CRISPR–Cas9 engineering in human pluripotent stem cells 2018 · 658 citations
6582018202620202023200400600

Peers

Daniel Ho
Comparison fields: 5 of 110
  • Aging 73
  • Business and International Management 69
  • Biological Psychiatry 57
  • Molecular Biology 1.5k
  • Neurology 159
Replace Elena Miranda with:
Elena Miranda Italy
Roman L. Bogorad United States
Baisong Lu United States
Pasqualina Colella Italy
Fei Yi United States
Yeung Bae Jin South Korea
Ning‐Yi Shao United States
Thomas M. Durcan Canada
Diego Acosta‐Alvear United States
Daniel Ho relative to Elena Miranda Italy Elena Miranda's profile →
Citations per field
00.5×4.1×
Elena Miranda · 1×
Citations per year

Countries citing papers authored by Daniel Ho

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Ho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Ho, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Ho Line = papers co-authored together Daniel Ho links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1
p53 inhibits CRISPR–Cas9 engineering in human pluripotent stem cells
Hit paper breakdown →
2018658
2 2016211
3 2006166
4 2016146
5 2010143
6 2018135
7 2006131
8 2012122
9 2010114
10 2017109
11 201287
12 200963
13 200860
14 201147
15 200832
16 201922
17 200922
18 20102

About Daniel Ho

Daniel Ho is a scholar working on Business and International Management, Biochemistry, Geriatrics and Gerontology, Cellular and Molecular Neuroscience and Physiology, having authored 18 papers that have together received 2.3k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (5 papers), Genetic Neurodegenerative Diseases (4 papers), Biochemical Acid Research Studies (3 papers), Alzheimer's disease research and treatments (2 papers), Epigenetics and DNA Methylation (2 papers), Adipose Tissue and Metabolism (2 papers), CRISPR and Genetic Engineering (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Aging (73 citations), Business and International Management (69 citations), Biological Psychiatry (57 citations), Molecular Biology (1.5k citations) and Neurology (159 citations). Daniel Ho has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Noel Y. Calingasan, Ajamete Kaykas, Robert J. Ihry, M. Flint Beal, Magali Dumont, Sravya Kommineni, Kathleen A. Worringer, Elizabeth Wille, Max R. Salick and Gregory McAllister. Their work appears in journals such as Clinical Cancer Research, Free Radical Biology and Medicine, Experimental Neurology, Nature Medicine and BMC Biology.

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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