Arjun Iyer
Impact in
- Transplantation top 10%
- Renal Transplantation Outcomes and Treatments
-
- Transplantation: Methods and Outcomes
- Organ Transplantation Techniques and Outcomes
- Cardiac Structural Anomalies and Repair
Papers in
- Surgery 17
- Transplantation: Methods and Outcomes 12
- Cardiac Structural Anomalies and Repair 7
- Organ Transplantation Techniques and Outcomes 5
-
- Mechanical Circulatory Support Devices 14
- Co-authors
- K. Dhital (9 shared papers)P. Jansz (13 shared papers)Peter S. Macdonald (10 shared papers)G. Kumarasinghe (4 shared papers)Aoife Doyle (5 shared papers)Mark Hicks (5 shared papers)Alasdair Watson (7 shared papers)Emily Granger (6 shared papers)
- Journals
- Transplantation (4 papers)Artificial Organs (3 papers)Annals of Cardiothoracic Surgery (1 paper)Current Cardiology Reports (1 paper)ASAIO Journal (1 paper)
- Partner nations
- AustraliaUnited States
In The Last Decade
Arjun Iyer
18 papers receiving 219 citations
Peers
Comparison fields: 5 of 39
- Transplantation 43
- Surgery 190
- Biomedical Engineering 114
- Pathology and Forensic Medicine 37
- Emergency Medicine 19
Countries citing papers authored by Arjun Iyer
This map shows the geographic impact of Arjun Iyer'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 Arjun Iyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arjun Iyer more than expected).
Fields of papers citing papers by Arjun Iyer
This network shows the impact of papers produced by Arjun Iyer. 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 Arjun Iyer. The network helps show where Arjun Iyer may publish in the future.
Co-authors
The 25 scholars most cited alongside Arjun Iyer, 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 | 2011 | 104 | |
| 2 | 2016 | 46 | |
| 3 | 2014 | 14 | |
| 4 | 2016 | 10 | |
| 5 | 2021 | 10 | |
| 6 | 2020 | 8 | |
| 7 | 2016 | 6 | |
| 8 | 2018 | 4 | |
| 9 | 2001 | 4 | |
| 10 | 2018 | 4 | |
| 11 | 2024 | 3 | |
| 12 | 2024 | 3 | |
| 13 | 2020 | 2 | |
| 14 | 2022 | 2 | |
| 15 | 2022 | 1 | |
| 16 | 2016 | 1 | |
| 17 | 2018 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2022 | 0 | |
| 20 | 2018 | 0 |
About Arjun Iyer
Arjun Iyer is a scholar working on Surgery, Biomedical Engineering, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Genetics, having authored 20 papers that have together received 224 indexed citations. Recurring topics across this work include Mechanical Circulatory Support Devices (14 papers), Transplantation: Methods and Outcomes (12 papers), Cardiac Structural Anomalies and Repair (7 papers), Organ Transplantation Techniques and Outcomes (5 papers), Cardiac Valve Diseases and Treatments (2 papers), Williams Syndrome Research (1 paper), Digital Imaging for Blood Diseases (1 paper) and COVID-19 diagnosis using AI (1 paper). The work is most often cited by research in Transplantation (43 citations), Surgery (190 citations), Biomedical Engineering (114 citations), Pathology and Forensic Medicine (37 citations) and Emergency Medicine (19 citations). Arjun Iyer has collaborated with scholars based in Australia and United States. Frequent co-authors include K. Dhital, P. Jansz, Peter S. Macdonald, G. Kumarasinghe, Aoife Doyle, Mark Hicks, Alasdair Watson, Emily Granger, Anne Keogh and Eugene Kotlyar. Their work appears in journals such as Transplantation, Artificial Organs, Annals of Cardiothoracic Surgery, Current Cardiology Reports and ASAIO Journal.
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.