Joel H. Graber
- Molecular Biology top 5%
- Genetics top 5%
- Plant Science top 5%
- Cancer Research top 10%
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- Barbara B. KnowlesDavor SolterAlexei V. EvsikovBin TianScott C. MohrTemple F. SmithWilhelmine N. de VriesPriyam Singh
- Topics
- RNA Research and Splicing (23 papers)RNA and protein synthesis mechanisms (15 papers)Genomics and Chromatin Dynamics (11 papers)
- Cited by
- Molecular BiologyAgingGenetics
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Clinical Oncology
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Joel H. Graber
59 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Molecular Biology 2.4k
- Genetics 564
- Plant Science 487
- Cancer Research 261
- Public Health, Environmental and Occupational Health 180
Countries citing papers authored by Joel H. Graber
This map shows the geographic impact of Joel H. Graber'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 Joel H. Graber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joel H. Graber more than expected).
Fields of papers citing papers by Joel H. Graber
This network shows the impact of papers produced by Joel H. Graber. 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 Joel H. Graber. The network helps show where Joel H. Graber may publish in the future.
Co-authorship network of co-authors of Joel H. Graber
This figure shows the co-authorship network connecting the top 25 collaborators of Joel H. Graber. A scholar is included among the top collaborators of Joel H. Graber 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 Joel H. Graber. Joel H. Graber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 21 | |
| 7 | 9 | |
| 8 | 92 | |
| 9 | 34 | |
| 10 | 13 | |
| 11 | 121 | |
| 12 | 26 | |
| 13 | 32 | |
| 14 | 109 | |
| 15 | 48 | |
| 16 | 1 | |
| 17 | 111 | |
| 18 | 21 | |
| 19 | A World Record Accelerating Gradient in a Niobium Superconducting Accelerator Cavity | 1 |
| 20 | High Power RF Processing Studies of 3 GHZ Niobium Superconducting Accelerator Cavities | 4 |
About Joel H. Graber
Joel H. Graber is a scholar working on Aging, General Engineering and Molecular Biology, having authored 70 papers that have together received 3.0k indexed citations. Recurring topics across this work include RNA Research and Splicing (23 papers), RNA and protein synthesis mechanisms (15 papers) and Genomics and Chromatin Dynamics (11 papers). The work is most often cited by research in Molecular Biology (2.4k citations), Aging (56 citations) and Genetics (564 citations). Joel H. Graber has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Barbara B. Knowles, Davor Solter, Alexei V. Evsikov, Bin Tian, Scott C. Mohr, Temple F. Smith, Wilhelmine N. de Vries, Priyam Singh, Anne E. Peaston and Lucie N. Hutchins. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Oncology.
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.