Wan Ip

1.6k citations
34 papers · 1.0k · h-index 17

Impact in

Papers in

Wan Ip

33 papers receiving 987 citations

Peers

Wan Ip
Comparison fields: 5 of 91
  • Pulmonary and Respiratory Medicine 439
  • Genetics 278
  • Immunology 188
  • Dermatology 64
  • Immunology and Allergy 34
Replace Carmen Sílvia Bertuzzo with:
Carmen Sílvia Bertuzzo Brazil
Y. T. Konttinen Finland
Catherine Giannopoulou Switzerland
Shervin R. Dashti United States
David Alexander Christian Messerer Germany
R.H.J. Beelen Netherlands
Sukanya Subramanian United States
Susumu Kanzaki Japan
Raffaella Tortora Italy
Pınar Atasoy Türkiye
Wan Ip relative to Carmen Sílvia Bertuzzo Brazil Carmen Sílvia Bertuzzo's profile →
Citations per field
00.5×6.4×
Carmen Sílvia Bertuzzo · 1×
Citations per year

Countries citing papers authored by Wan Ip

Since Specialization
Citations

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

Fields of papers citing papers by Wan Ip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999165
2 201479
3 201277
4 201171
5 200261
6 201458
7 201758
8 201750
9 199846
10 201940
11 198534
12 202030
13 199123
14 199623
15 202023
16 201621
17 200820
18 201116
19 201416
20 201516

About Wan Ip

Wan Ip is a scholar working on Pulmonary and Respiratory Medicine, Genetics, Surgery, Physiology and Immunology, having authored 34 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (12 papers), Neonatal Respiratory Health Research (10 papers), Blood disorders and treatments (8 papers), Immunodeficiency and Autoimmune Disorders (4 papers), Tracheal and airway disorders (3 papers), Asthma and respiratory diseases (3 papers), Venous Thromboembolism Diagnosis and Management (2 papers) and Gastrointestinal motility and disorders (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (439 citations), Genetics (278 citations), Immunology (188 citations), Dermatology (64 citations) and Immunology and Allergy (34 citations). Wan Ip has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Peter R. Durie, Tanja Gonska, Johanna M. Rommens, Michael V. Sefton, Lynda Ellis, Mary Corey, Jodi Morrison, Christine E. Bear, Annie Dupuis and Peter Durie. Their work appears in journals such as The Journal of Pediatrics, Journal of Pediatric Gastroenterology and Nutrition, Journal of Biomedical Materials Research, Journal of Personalized Medicine and npj Genomic Medicine.

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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