Martin Ho
Impact in
- Transplantation top 0.5%
- Renal Transplantation Outcomes and Treatments
- Nephrology top 1%
- Dialysis and Renal Disease Management
Papers in
-
- Renal Transplantation Outcomes and Treatments 13
-
- Statistical Methods in Clinical Trials 12
- Advanced Causal Inference Techniques 7
- Co-authors
- Amir TejaniLea EmmettMouin G. SeikalyRichard Ν. FineWilliam HarmonRuth A. McDonaldMark MitsnefesVikas R. Dharnidharka
- Journals
- Pediatric Transplantation (9 papers)Statistics in Biopharmaceutical Research (7 papers)Value in Health (5 papers)Pediatric Nephrology (3 papers)American Journal of Transplantation (3 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Martin Ho
59 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 132
- Transplantation 669
- Nephrology 472
- Pediatrics, Perinatology and Child Health 394
- Speech and Hearing 120
- Statistics and Probability 132
Countries citing papers authored by Martin Ho
This map shows the geographic impact of Martin Ho'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 Martin Ho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Ho more than expected).
Fields of papers citing papers by Martin Ho
This network shows the impact of papers produced by Martin Ho. 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 Martin Ho. The network helps show where Martin Ho may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Martin Ho, 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 | 0 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 4 | |
| 4 | 2019 | 16 | |
| 5 | 2016 | 100 | |
| 6 | 2015 | 3 | |
| 7 | 2014 | 178 | |
| 8 | 2013 | 12 | |
| 9 | 2006 | 38 | |
| 10 | 2005 | 26 | |
| 11 | 2004 | 19 | |
| 12 | 2003 | 140 | |
| 13 | 2003 | 42 | |
| 14 | 2003 | 19 | |
| 15 | 2003 | 55 | |
| 16 | 2002 | 20 | |
| 17 | 2002 | 44 | |
| 18 | 2002 | 81 | |
| 19 | 2002 | 147 | |
| 20 | 2001 | 59 |
About Martin Ho
Martin Ho is a scholar working on Transplantation, Statistics and Probability, Nephrology, Economics and Econometrics and Emergency Medical Services, having authored 61 papers that have together received 2.6k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (18 papers), Renal Transplantation Outcomes and Treatments (13 papers), Statistical Methods in Clinical Trials (12 papers), Dialysis and Renal Disease Management (7 papers), Advanced Causal Inference Techniques (7 papers), Pregnancy and Medication Impact (7 papers), Economic and Environmental Valuation (4 papers) and Organ Transplantation Techniques and Outcomes (4 papers). The work is most often cited by research in Transplantation (669 citations), Nephrology (472 citations), Pediatrics, Perinatology and Child Health (394 citations), Speech and Hearing (120 citations) and Statistics and Probability (132 citations). Martin Ho has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Amir Tejani, Lea Emmett, Mouin G. Seikaly, Richard Ν. Fine, William Harmon, Ruth A. McDonald, Mark Mitsnefes, Vikas R. Dharnidharka, Jodi M. Smith and Donald M. Stablein. Their work appears in journals such as Pediatric Transplantation, Statistics in Biopharmaceutical Research, Value in Health, Pediatric Nephrology and American Journal of Transplantation.
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.