Margaret Ip

242 papers receiving 7.6k citations

Hit Papers

Understanding the gut microbiota and sarcopenia: a systematic review 2021 · 233 citations
233202120262022202450100150200

Peers

Margaret Ip
Comparison fields: 5 of 173
  • Molecular Medicine 960
  • Applied Microbiology and Biotechnology 238
  • Microbiology 687
  • Infectious Diseases 1.7k
  • Epidemiology 2.7k
Replace Katsunori Yanagihara with:
Katsunori Yanagihara Japan
Johan Van Eldere Belgium
Yok‐Ai Que Switzerland
Andrej Trampuž Germany
Mitsuo Kaku Japan
Tzou‐Yien Lin Taiwan
Sang‐Oh Lee South Korea
Mathias W. Pletz Germany
Jan Verhaegen Belgium
Axel Krämer Germany
Margaret Ip relative to Katsunori Yanagihara Japan Katsunori Yanagihara's profile →
Citations per field
00.5×1.7×
Katsunori Yanagihara · 1×
Citations per year

Countries citing papers authored by Margaret Ip

Since Specialization
Citations

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

Fields of papers citing papers by Margaret Ip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20250
3 20250
4 20247
5 20239
6 202312
7 20233
8 20234
9 202219
10 20203
11 20207
12 2019212
13 201821
14 201714
15 20156
16 201531
17 201412
18 20144
19 200826
20 200783

About Margaret Ip

Margaret Ip is a scholar working on Molecular Medicine, Microbiology, Infectious Diseases, Applied Microbiology and Biotechnology and Clinical Biochemistry, having authored 250 papers that have together received 7.8k indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (64 papers), Streptococcal Infections and Treatments (42 papers), Antimicrobial Resistance in Staphylococcus (33 papers), Neonatal and Maternal Infections (32 papers), Antibiotic Resistance in Bacteria (32 papers), Respiratory viral infections research (24 papers), Bacterial Infections and Vaccines (22 papers) and Bacterial Identification and Susceptibility Testing (22 papers). The work is most often cited by research in Molecular Medicine (960 citations), Applied Microbiology and Biotechnology (238 citations), Microbiology (687 citations), Infectious Diseases (1.7k citations) and Epidemiology (2.7k citations). Margaret Ip has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Paul K.S. Chan, Nelson Lee, Sau Lai Lui, Joseph J.�Y. Sung, Andrew Burd, Vincent Kwok‐Man Poon, David S.C. Hui, Sunny H. Wong, Mamie Hui and Grace Lui. Their work appears in journals such as Journal of Clinical Microbiology, PLoS ONE, European Journal of Clinical Microbiology & Infectious Diseases, Clinical Infectious Diseases and Diagnostic Microbiology and Infectious Disease.

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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2026