Sin-Ming Ip

537 citations
12 papers · 404 · h-index 9

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing
    • Viral gastroenteritis research and epidemiology
    • COVID-19 epidemiological studies

Papers in

    • Redox biology and oxidative stress 3
    • Glutathione Transferases and Polymorphisms 3
    • Photosynthetic Processes and Mechanisms 2
    • Plant nutrient uptake and metabolism 3
    • Legume Nitrogen Fixing Symbiosis 2

Sin-Ming Ip

12 papers receiving 374 citations

Peers

Sin-Ming Ip
Comparison fields: 5 of 80
  • Infectious Diseases 183
  • Modeling and Simulation 45
  • General Dentistry 8
  • Endocrinology 20
  • Biochemistry 18
Replace Sanjana Nair with:
Sanjana Nair India
Min-Han Lin Taiwan
Rita Feghali Lebanon
Stéphane Pelleau France
Kenji Soda Japan
Prasanta Patra India
Monika Strengert Germany
Anchi Wu United States
Israt Islam Bangladesh
Bintou Ahmadou Ahidjo United States
Sin-Ming Ip relative to Sanjana Nair India Sanjana Nair's profile →
Citations per field
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Sanjana Nair · 1×
Citations per year

Countries citing papers authored by Sin-Ming Ip

Since Specialization
Citations

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

Fields of papers citing papers by Sin-Ming Ip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sin-Ming Ip. 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 Sin-Ming Ip. The network helps show where Sin-Ming Ip may publish in the future.

Co-authors

The 25 scholars most cited alongside Sin-Ming Ip, 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 Sin-Ming Ip Line = papers co-authored together Sin-Ming Ip links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2004241
2 198437
3 201529
4 198123
5 198317
6 199214
7 199014
8 199013
9 198511
10 19813
11 19841
12 19901

About Sin-Ming Ip

Sin-Ming Ip is a scholar working on Molecular Biology, Plant Science, Epidemiology, Molecular Medicine and Endocrinology, having authored 12 papers that have together received 404 indexed citations. Recurring topics across this work include Plant nutrient uptake and metabolism (3 papers), Redox biology and oxidative stress (3 papers), Glutathione Transferases and Polymorphisms (3 papers), Legume Nitrogen Fixing Symbiosis (2 papers), Escherichia coli research studies (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Antibiotic Resistance in Bacteria (2 papers) and Metalloenzymes and iron-sulfur proteins (1 paper). The work is most often cited by research in Infectious Diseases (183 citations), Modeling and Simulation (45 citations), General Dentistry (8 citations), Endocrinology (20 citations) and Biochemistry (18 citations). Sin-Ming Ip has collaborated with scholars based in United Kingdom, Hong Kong and China. Frequent co-authors include Wilina Lim, C.S. Lau, Peter K.C. Cheng, Eugene Y. H. Yeung, Derek A. Wong, W. D. P. Stewart, P. Rowell, Alastair Aitken, D. C. Old and P. B. Crichton. Their work appears in journals such as Plant Science, Journal of Virology, Journal of Clinical Microbiology, Microbiology and European Journal of Biochemistry.

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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