Ian Mak
Impact in
- Reproductive Medicine top 5%
- Endometriosis Research and Treatment
- Hematology top 10%
- Multiple Myeloma Research and Treatments
Papers in
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- Endometriosis Research and Treatment 4
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- Multiple Myeloma Research and Treatments 3
- Co-authors
- L Pyle (5 shared papers)Roger A’Hern (4 shared papers)Francisco J. Sapunar (3 shared papers)Tim G Eisen (4 shared papers)Martin Eric Gore (4 shared papers)Jan Joris Brosens (4 shared papers)JOHN O. WHITE (4 shared papers)Mark Christian (4 shared papers)
- Journals
- British Journal of Cancer (3 papers)Reproductive BioMedicine Online (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)Journal of Clinical Oncology (1 paper)Journal of Immunotherapy (1 paper)
- Partner nations
- United KingdomBelgiumNew Zealand
In The Last Decade
Ian Mak
11 papers receiving 622 citations
Peers
Comparison fields: 5 of 52
- Reproductive Medicine 141
- Hematology 149
- Obstetrics and Gynecology 59
- Immunology 172
- Cancer Research 84
Countries citing papers authored by Ian Mak
This map shows the geographic impact of Ian Mak'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 Ian Mak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian Mak more than expected).
Fields of papers citing papers by Ian Mak
This network shows the impact of papers produced by Ian Mak. 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 Ian Mak. The network helps show where Ian Mak may publish in the future.
Co-authors
The 25 scholars most cited alongside Ian Mak, 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 | 2000 | 299 | |
| 2 | 2001 | 97 | |
| 3 | 2002 | 83 | |
| 4 | 2001 | 49 | |
| 5 | 2002 | 36 | |
| 6 | 2002 | 34 | |
| 7 | 2006 | 17 | |
| 8 | 2008 | 15 | |
| 9 | 2001 | 10 | |
| 10 | 2000 | 3 | |
| 11 | 1999 | 1 | |
| 12 | 2025 | 0 |
About Ian Mak
Ian Mak is a scholar working on Reproductive Medicine, Hematology, Pulmonary and Respiratory Medicine, Immunology and Cancer Research, having authored 12 papers that have together received 644 indexed citations. Recurring topics across this work include Endometriosis Research and Treatment (4 papers), Renal cell carcinoma treatment (4 papers), Multiple Myeloma Research and Treatments (3 papers), Reproductive System and Pregnancy (3 papers), Cancer Genomics and Diagnostics (2 papers), Estrogen and related hormone effects (2 papers), Cutaneous Melanoma Detection and Management (1 paper) and Genetic Neurodegenerative Diseases (1 paper). The work is most often cited by research in Reproductive Medicine (141 citations), Hematology (149 citations), Obstetrics and Gynecology (59 citations), Immunology (172 citations) and Cancer Research (84 citations). Ian Mak has collaborated with scholars based in United Kingdom, Belgium and New Zealand. Frequent co-authors include L Pyle, Roger A’Hern, Francisco J. Sapunar, Tim G Eisen, Martin Eric Gore, Jan Joris Brosens, JOHN O. WHITE, Mark Christian, Matthew M. Vaughan and CHRIS H. BOSHOFF. Their work appears in journals such as British Journal of Cancer, Reproductive BioMedicine Online, The Journal of Clinical Endocrinology & Metabolism, Journal of Clinical Oncology and Journal of Immunotherapy.
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.