Robert G. Hawley
- Molecular Biology top 1%
- Immunology top 0.5%
- Oncology top 1%
- Genetics top 0.5%
- Hematology top 0.5%
- Co-authors
- Teresa S. HawleyAli RamezaniAndrew FongRobert S. KerbelCharles H. GrahamNelson K.S. KhooPeeyush K. LalaJohn R. MacDougall
- Topics
- Virus-based gene therapy research (59 papers)RNA Interference and Gene Delivery (30 papers)CRISPR and Genetic Engineering (28 papers)
- Cited by
- HematologyImmunologyOncology
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Robert G. Hawley
229 papers receiving 10.0k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Molecular Biology 5.6k
- Immunology 2.5k
- Oncology 2.4k
- Genetics 2.4k
- Hematology 1.8k
Countries citing papers authored by Robert G. Hawley
This map shows the geographic impact of Robert G. Hawley'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 Robert G. Hawley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert G. Hawley more than expected).
Fields of papers citing papers by Robert G. Hawley
This network shows the impact of papers produced by Robert G. Hawley. 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 Robert G. Hawley. The network helps show where Robert G. Hawley may publish in the future.
Co-authorship network of co-authors of Robert G. Hawley
This figure shows the co-authorship network connecting the top 25 collaborators of Robert G. Hawley. A scholar is included among the top collaborators of Robert G. Hawley 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 Robert G. Hawley. Robert G. Hawley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | The Scribe Tab'ilu as Attested in the Epigraphic Finds from the 5th Season of Excavations at Ras Shamra | 1 |
| 3 | 9 | |
| 4 | 21 | |
| 5 | Le texte juridique RS 16.382 : nouvelle étude épigraphique | 2 |
| 6 | 33 | |
| 7 | 65 | |
| 8 | 12 | |
| 9 | 27 | |
| 10 | 24 | |
| 11 | 20 | |
| 12 | 40 | |
| 13 | 19 | |
| 14 | 135 | |
| 15 | 179 | |
| 16 | 27 | |
| 17 | 37 | |
| 18 | 18 | |
| 19 | Establishment and Characterization of First Trimester Human Trophoblast Cells with Extended Lifespanbreakdown → | 915 |
| 20 | 1 |
About Robert G. Hawley
Robert G. Hawley is a scholar working on Hematology, Immunology and Genetics, having authored 240 papers that have together received 10.3k indexed citations. Recurring topics across this work include Virus-based gene therapy research (59 papers), RNA Interference and Gene Delivery (30 papers) and CRISPR and Genetic Engineering (28 papers). The work is most often cited by research in Hematology (1.8k citations), Immunology (2.5k citations) and Oncology (2.4k citations). Robert G. Hawley has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Teresa S. Hawley, Ali Ramezani, Andrew Fong, Robert S. Kerbel, Charles H. Graham, Nelson K.S. Khoo, Peeyush K. Lala, John R. MacDougall, Nobumichi Hozumi and Marc J. Shulman. Their work appears in journals such as Nature, New England Journal of Medicine 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.