Adrian L. Sanborn
- Molecular Biology top 0.5%
- Plant Science top 1%
- Genetics top 2%
- Cellular and Molecular Neuroscience top 5%
- Cancer Research top 5%
- Co-authors
- Erez Lieberman AidenNeva C. DurandEric S. LanderElena K. StamenovaMiriam HuntleySuhas S.P. RaoIvan D. BochkovIdo Machol
- Topics
- Genomics and Chromatin Dynamics (8 papers)RNA Research and Splicing (4 papers)RNA and protein synthesis mechanisms (3 papers)
- Partner nations
- United StatesUnited KingdomBelgium
In The Last Decade
Adrian L. Sanborn
10 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Molecular Biology 6.3k
- Plant Science 1.8k
- Genetics 1.1k
- Cellular and Molecular Neuroscience 533
- Cancer Research 430
Countries citing papers authored by Adrian L. Sanborn
This map shows the geographic impact of Adrian L. Sanborn'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 Adrian L. Sanborn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrian L. Sanborn more than expected).
Fields of papers citing papers by Adrian L. Sanborn
This network shows the impact of papers produced by Adrian L. Sanborn. 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 Adrian L. Sanborn. The network helps show where Adrian L. Sanborn may publish in the future.
Co-authorship network of co-authors of Adrian L. Sanborn
This figure shows the co-authorship network connecting the top 25 collaborators of Adrian L. Sanborn. A scholar is included among the top collaborators of Adrian L. Sanborn 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 Adrian L. Sanborn. Adrian L. Sanborn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 105 | |
| 3 | 111 | |
| 4 | 58 | |
| 5 | 8 | |
| 6 | 181 | |
| 7 | Structural insights into µ-opioid receptor activationbreakdown → | 700 |
| 8 | 82 | |
| 9 | Chromatin extrusion explains key features of loop and domain formation in wild-type and engineered genomesbreakdown → | 1146 |
| 10 | A 3D Map of the Human Genome at Kilobase Resolution Reveals Principles of Chromatin Loopingbreakdown → | 4449 |
About Adrian L. Sanborn
Adrian L. Sanborn is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics, having authored 10 papers that have together received 6.8k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (8 papers), RNA Research and Splicing (4 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Molecular Biology (6.3k citations), Plant Science (1.8k citations) and Genetics (1.1k citations). Adrian L. Sanborn has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Erez Lieberman Aiden, Neva C. Durand, Eric S. Lander, Elena K. Stamenova, Miriam Huntley, Suhas S.P. Rao, Ivan D. Bochkov, Ido Machol, Arina D. Omer and James Robinson. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.