L R Gooding
- Molecular Biology top 2%
- Genetics top 0.5%
- Immunology top 1%
- Oncology top 2%
- Epidemiology top 2%
- Co-authors
- William S.M. WoldScott M. LasterJohn G. WoodPenelope J. Duerksen-HughesAnn E. TollefsonCharlie Garnett‐BensonEileen WhitePeter Sabbatini
- Topics
- Virus-based gene therapy research (55 papers)CAR-T cell therapy research (23 papers)RNA Interference and Gene Delivery (13 papers)
- Cited by
- GeneticsImmunologyOncology
- Partner nations
- United StatesSwedenSwitzerland
In The Last Decade
L R Gooding
86 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Molecular Biology 3.0k
- Genetics 2.9k
- Immunology 2.0k
- Oncology 1.4k
- Epidemiology 1.1k
Countries citing papers authored by L R Gooding
This map shows the geographic impact of L R Gooding'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 L R Gooding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L R Gooding more than expected).
Fields of papers citing papers by L R Gooding
This network shows the impact of papers produced by L R Gooding. 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 L R Gooding. The network helps show where L R Gooding may publish in the future.
Co-authorship network of co-authors of L R Gooding
This figure shows the co-authorship network connecting the top 25 collaborators of L R Gooding. A scholar is included among the top collaborators of L R Gooding 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 L R Gooding. L R Gooding is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 10 | |
| 3 | 10 | |
| 4 | 161 | |
| 5 | 24 | |
| 6 | 8 | |
| 7 | 42 | |
| 8 | 26 | |
| 9 | 113 | |
| 10 | 9 | |
| 11 | 89 | |
| 12 | 55 | |
| 13 | 338 | |
| 14 | 198 | |
| 15 | Sensitivity to tumour necrosis factor-mediated cytolysis is unrelated to manganous superoxide dismutase messenger RNA levels among transformed mouse fibroblasts. | 12 |
| 16 | Adenovirus region E3 proteins that prevent cytolysis by cytotoxic T cells and tumor necrosis factor. | 46 |
| 17 | 1 | |
| 18 | Tumor necrosis factor can induce both apoptic and necrotic forms of cell lysis.breakdown → | 773 |
| 19 | 17 | |
| 20 | 207 |
About L R Gooding
L R Gooding is a scholar working on Genetics, Immunology and Oncology, having authored 86 papers that have together received 6.2k indexed citations. Recurring topics across this work include Virus-based gene therapy research (55 papers), CAR-T cell therapy research (23 papers) and RNA Interference and Gene Delivery (13 papers). The work is most often cited by research in Genetics (2.9k citations), Immunology (2.0k citations) and Oncology (1.4k citations). L R Gooding has collaborated with scholars based in United States, Sweden and Switzerland. Frequent co-authors include William S.M. Wold, Scott M. Laster, John G. Wood, Penelope J. Duerksen-Hughes, Ann E. Tollefson, Charlie Garnett‐Benson, Eileen White, Peter Sabbatini, Dean D. Erdman and Carl F. Ware. 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.