Jeremy Hammond
- Cardiology and Cardiovascular Medicine top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Clinical Biochemistry top 1%
- Molecular Biology
- Nephrology top 5%
- Co-authors
- Walter M. KirkendallBridget WilckenJonathan K. WilkinJ V LeonardRavindra KamathTerri J. AllenGeorge JerumsMartin Silink
- Topics
- Blood Pressure and Hypertension Studies (8 papers)Metabolism and Genetic Disorders (7 papers)Neonatal Health and Biochemistry (4 papers)
- Journals
- The LancetBrainOncogene
- Partner nations
- AustraliaNetherlandsUnited States
In The Last Decade
Jeremy Hammond
29 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 118
- Cardiology and Cardiovascular Medicine 281
- Endocrinology, Diabetes and Metabolism 269
- Clinical Biochemistry 264
- Molecular Biology 261
- Nephrology 163
Countries citing papers authored by Jeremy Hammond
This map shows the geographic impact of Jeremy Hammond'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 Jeremy Hammond with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeremy Hammond more than expected).
Fields of papers citing papers by Jeremy Hammond
This network shows the impact of papers produced by Jeremy Hammond. 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 Jeremy Hammond. The network helps show where Jeremy Hammond may publish in the future.
Co-authorship network of co-authors of Jeremy Hammond
This figure shows the co-authorship network connecting the top 25 collaborators of Jeremy Hammond. A scholar is included among the top collaborators of Jeremy Hammond based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jeremy Hammond. Jeremy Hammond is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 58 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | A high speed transcription interface for annotating primary linguistic data | 1 |
| 6 | JVC GY-HM100U HD video camera and FFmpeg libraries [Technology review] | 0 |
| 7 | 22 | |
| 8 | 88 | |
| 9 | 71 | |
| 10 | 3 | |
| 11 | 72 | |
| 12 | 145 | |
| 13 | 9 | |
| 14 | 6 | |
| 15 | Comparison between perindopril and nifedipine in hypertensive and normotensive diabetic patients with microalbuminuria | 189 |
| 16 | 49 | |
| 17 | 14 | |
| 18 | 4 | |
| 19 | The captopril-induced eruption. A possible mechanism: cutaneous kinin potentiation. | 111 |
| 20 | 36 |
About Jeremy Hammond
Jeremy Hammond is a scholar working on Clinical Biochemistry, Family Practice and Cardiology and Cardiovascular Medicine, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (8 papers), Metabolism and Genetic Disorders (7 papers) and Neonatal Health and Biochemistry (4 papers). The work is most often cited by research in Clinical Biochemistry (264 citations), Nephrology (163 citations) and Endocrinology, Diabetes and Metabolism (269 citations). Jeremy Hammond has collaborated with scholars based in Australia, Netherlands and United States. Frequent co-authors include Walter M. Kirkendall, Bridget Wilcken, Bridget Wilcken, Jonathan K. Wilkin, J V Leonard, Ravindra Kamath, Terri J. Allen, George Jerums, Martin Silink and M. De Luise. Their work appears in journals such as The Lancet, Brain and Oncogene.
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.