Philip McCloud
Impact in
- Hepatology top 0.5%
- Hepatitis C virus research
- Hepatitis Viruses Studies and Epidemiology
- Epidemiology top 1%
- Hepatitis B Virus Studies
- Liver Disease Diagnosis and Treatment
Papers in
- Co-authors
- Henry BurgerSusan R. DavisTeerha PiratvisuthPatrick MarcellinGeorge LauBoyd J. StraussSatawat ThongsawatKang Luo
- Journals
- Clinical Endocrinology (3 papers)Maturitas (3 papers)Annals of the Rheumatic Diseases (2 papers)The Journal of Clinical Endocrinology & Metabolism (2 papers)New England Journal of Medicine (2 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Philip McCloud
51 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Hepatology 1.6k
- Epidemiology 1.8k
- Endocrinology, Diabetes and Metabolism 687
- Reproductive Medicine 313
- Endocrine and Autonomic Systems 103
Countries citing papers authored by Philip McCloud
This map shows the geographic impact of Philip McCloud'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 McCloud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip McCloud more than expected).
Fields of papers citing papers by Philip McCloud
This network shows the impact of papers produced by Philip McCloud. 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 McCloud. The network helps show where Philip McCloud may publish in the future.
Co-authors
The 25 scholars most cited alongside Philip McCloud, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2022 | 12 | |
| 3 | 2021 | 20 | |
| 4 | 2020 | 18 | |
| 5 | 2019 | 24 | |
| 6 | 2019 | 66 | |
| 7 | 2017 | 3 | |
| 8 | 2017 | 15 | |
| 9 | 2016 | 9 | |
| 10 | 2016 | 21 | |
| 11 | 2012 | 35 | |
| 12 | PREDICTION OF RESPONSE TO PEGINTERFERON-ALFA IN HBEAG POSITIVE CHRONIC HEPATITIS B: A MODEL BASED ON 721 PATIENTS | 2008 | 0 |
| 13 | 2008 | 23 | |
| 14 | 2002 | 42 | |
| 15 | 2002 | 42 | |
| 16 | 1996 | 2 | |
| 17 | 1994 | 16 | |
| 18 | 1993 | 11 | |
| 19 | 1992 | 156 | |
| 20 | 1989 | 144 |
About Philip McCloud
Philip McCloud is a scholar working on Reproductive Medicine, Microbiology, Radiation, Hepatology and Genetics, having authored 52 papers that have together received 3.7k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (5 papers), Prostate Cancer Diagnosis and Treatment (5 papers), Advanced Radiotherapy Techniques (5 papers), HER2/EGFR in Cancer Research (4 papers), Rheumatoid Arthritis Research and Therapies (4 papers), Menopause: Health Impacts and Treatments (4 papers), Hormonal and reproductive studies (4 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers). The work is most often cited by research in Hepatology (1.6k citations), Epidemiology (1.8k citations), Endocrinology, Diabetes and Metabolism (687 citations), Reproductive Medicine (313 citations) and Endocrine and Autonomic Systems (103 citations). Philip McCloud has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Henry Burger, Susan R. Davis, Teerha Piratvisuth, Patrick Marcellin, George Lau, Boyd J. Strauss, Satawat Thongsawat, Kang Luo, Edward Gane and Seung Woon Paik. Their work appears in journals such as Clinical Endocrinology, Maturitas, Annals of the Rheumatic Diseases, The Journal of Clinical Endocrinology & Metabolism and New England Journal of 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.