David J. Christini
- Cardiology and Cardiovascular Medicine top 1%
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 2%
- Statistical and Nonlinear Physics top 1%
- Computer Networks and Communications top 2%
- Co-authors
- Trine Krogh‐MadsenJames J. CollinsPeter JordanGeoffrey W. AbbottJohn A. WhiteAlan D. DorvalEric A. SobieLeon Glass
- Topics
- Cardiac electrophysiology and arrhythmias (74 papers)Ion channel regulation and function (48 papers)Neuroscience and Neural Engineering (25 papers)
- Cited by
- Cardiology and Cardiovascular MedicineStatistical and Nonlinear PhysicsCellular and Molecular Neuroscience
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
David J. Christini
99 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 120
- Cardiology and Cardiovascular Medicine 1.9k
- Molecular Biology 1.3k
- Cellular and Molecular Neuroscience 646
- Statistical and Nonlinear Physics 551
- Computer Networks and Communications 479
Countries citing papers authored by David J. Christini
This map shows the geographic impact of David J. Christini'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 David J. Christini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Christini more than expected).
Fields of papers citing papers by David J. Christini
This network shows the impact of papers produced by David J. Christini. 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 David J. Christini. The network helps show where David J. Christini may publish in the future.
Co-authorship network of co-authors of David J. Christini
This figure shows the co-authorship network connecting the top 25 collaborators of David J. Christini. A scholar is included among the top collaborators of David J. Christini 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 David J. Christini. David J. Christini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 69 | |
| 4 | 11 | |
| 5 | 24 | |
| 6 | 1 | |
| 7 | 18 | |
| 8 | 21 | |
| 9 | 5 | |
| 10 | 11 | |
| 11 | 20 | |
| 12 | 22 | |
| 13 | 36 | |
| 14 | 16 | |
| 15 | 28 | |
| 16 | 24 | |
| 17 | 31 | |
| 18 | 27 | |
| 19 | 3 | |
| 20 | 18 |
About David J. Christini
David J. Christini is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics, having authored 101 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (74 papers), Ion channel regulation and function (48 papers) and Neuroscience and Neural Engineering (25 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.9k citations), Statistical and Nonlinear Physics (551 citations) and Cellular and Molecular Neuroscience (646 citations). David J. Christini has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Trine Krogh‐Madsen, James J. Collins, Peter Jordan, Geoffrey W. Abbott, John A. White, Alan D. Dorval, Eric A. Sobie, Leon Glass, Kenneth M. Steín and Bruce B. Lerman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Circulation.
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.