Philip P.C. Ip

4.4k citations
109 papers · 2.9k indexed · h-index 29

Impact in

Papers in

Philip P.C. Ip

103 papers receiving 2.9k citations

Peers

Philip P.C. Ip
Comparison fields: 5 of 111
  • Hepatology 717
  • Obstetrics and Gynecology 580
  • Reproductive Medicine 482
  • Epidemiology 937
  • Cancer Research 341
Replace Constantine A. Axiotis with:
Constantine A. Axiotis United States
Daniel E. Stepan United States
U. Löhrs Germany
Theodore H. Niemann United States
Dietmar Schmidt Germany
Stuart D. Flynn United States
Catherine Lhommé France
Pascale Levine United States
Simona Losito Italy
Kuniyuki Oka Japan
Philip P.C. Ip relative to Constantine A. Axiotis United States Constantine A. Axiotis's profile →
Citations per field
00.5×9.4×
Constantine A. Axiotis · 1×
Citations per year

Countries citing papers authored by Philip P.C. Ip

Since Specialization
Citations

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

Fields of papers citing papers by Philip P.C. Ip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20241
4 20243
5 20241
6 20232
7 202214
8 20219
9 20181
10 20181
11 20158
12 201268
13 201016
14 2010137
15 200952
16 2008178
17 200746
18 19989
19 198729
20 19851

About Philip P.C. Ip

Philip P.C. Ip is a scholar working on Obstetrics and Gynecology, Reproductive Medicine, Hepatology, Oncology and Hematology, having authored 109 papers that have together received 2.9k indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (23 papers), Ovarian cancer diagnosis and treatment (21 papers), Uterine Myomas and Treatments (10 papers), Cervical Cancer and HPV Research (8 papers), Sarcoma Diagnosis and Treatment (8 papers), Liver Disease Diagnosis and Treatment (7 papers), MRI in cancer diagnosis (6 papers) and Hepatitis C virus research (6 papers). The work is most often cited by research in Hepatology (717 citations), Obstetrics and Gynecology (580 citations), Reproductive Medicine (482 citations), Epidemiology (937 citations) and Cancer Research (341 citations). Philip P.C. Ip has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Any Cheung, Hys Ngan, Ka Yu Tse, Ching‐Lung Lai, James Fung, Man‐Fung Yuen, Danny Ka‐Ho Wong, Wai‐Kay Seto, John Chi–Hang Yuen and Ivan Fan‐Ngai Hung. Their work appears in journals such as The American Journal of Surgical Pathology, International Journal of Gynecological Pathology, British Journal of Haematology, Histopathology and Modern Pathology.

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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