Justin B. Kinney
- Molecular Biology top 5%
- Genetics top 5%
- Nuclear and High Energy Physics top 5%
- Astronomy and Astrophysics top 5%
- Artificial Intelligence top 10%
- Co-authors
- Gurinder S. AtwalAmmar TareenCurtis G. CallanJuan MaldacenaSuvrat RajuShiraz MinwallaAnand MuruganJunwei Shi
- Topics
- RNA and protein synthesis mechanisms (16 papers)Genomics and Chromatin Dynamics (11 papers)RNA Research and Splicing (8 papers)
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersNature Communications
- Partner nations
- United StatesFranceSweden
In The Last Decade
Justin B. Kinney
44 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Molecular Biology 2.3k
- Genetics 693
- Nuclear and High Energy Physics 419
- Astronomy and Astrophysics 227
- Artificial Intelligence 182
Countries citing papers authored by Justin B. Kinney
This map shows the geographic impact of Justin B. Kinney'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 Justin B. Kinney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin B. Kinney more than expected).
Fields of papers citing papers by Justin B. Kinney
This network shows the impact of papers produced by Justin B. Kinney. 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 Justin B. Kinney. The network helps show where Justin B. Kinney may publish in the future.
Co-authorship network of co-authors of Justin B. Kinney
This figure shows the co-authorship network connecting the top 25 collaborators of Justin B. Kinney. A scholar is included among the top collaborators of Justin B. Kinney 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 Justin B. Kinney. Justin B. Kinney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 17 | |
| 5 | 10 | |
| 6 | 23 | |
| 7 | 8 | |
| 8 | 33 | |
| 9 | 7 | |
| 10 | 29 | |
| 11 | 254 | |
| 12 | 60 | |
| 13 | 40 | |
| 14 | 1 | |
| 15 | 23 | |
| 16 | 27 | |
| 17 | Equitability, mutual information, and the maximal information coefficientbreakdown → | 435 |
| 18 | 10 | |
| 19 | 12 | |
| 20 | Maximally informative models and diffeomorphic modes in the analysis of large data sets | 1 |
About Justin B. Kinney
Justin B. Kinney is a scholar working on Molecular Biology, Genetics and Geriatrics and Gerontology, having authored 47 papers that have together received 3.4k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (16 papers), Genomics and Chromatin Dynamics (11 papers) and RNA Research and Splicing (8 papers). The work is most often cited by research in Aging (62 citations), Molecular Biology (2.3k citations) and Nuclear and High Energy Physics (419 citations). Justin B. Kinney has collaborated with scholars based in United States, France and Sweden. Frequent co-authors include Gurinder S. Atwal, Ammar Tareen, Curtis G. Callan, Juan Maldacena, Suvrat Raju, Shiraz Minwalla, Anand Murugan, Junwei Shi, Christopher R. Vakoc and Eric Wang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.
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.