Linda W. Moore
- Plant Science top 2%
- Nephrology top 0.5%
- Molecular Biology top 10%
- Surgery top 5%
- Transplantation top 0.5%
- Co-authors
- A. Osama GaberSergio R. AcchiardoGuylyn WarrenPhilippe LatourJohn StanievichLillian W. GaberLinda BrodskyGary A. Strobel
- Topics
- Renal Transplantation Outcomes and Treatments (35 papers)Organ Transplantation Techniques and Outcomes (24 papers)Dialysis and Renal Disease Management (22 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Linda W. Moore
188 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 183
- Plant Science 1.0k
- Nephrology 940
- Molecular Biology 779
- Surgery 762
- Transplantation 755
Countries citing papers authored by Linda W. Moore
This map shows the geographic impact of Linda W. Moore'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 Linda W. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linda W. Moore more than expected).
Fields of papers citing papers by Linda W. Moore
This network shows the impact of papers produced by Linda W. Moore. 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 Linda W. Moore. The network helps show where Linda W. Moore may publish in the future.
Co-authorship network of co-authors of Linda W. Moore
This figure shows the co-authorship network connecting the top 25 collaborators of Linda W. Moore. A scholar is included among the top collaborators of Linda W. Moore 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 Linda W. Moore. Linda W. Moore 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 | 3 | |
| 5 | 7 | |
| 6 | 18 | |
| 7 | 4 | |
| 8 | 9 | |
| 9 | 12 | |
| 10 | 16 | |
| 11 | 21 | |
| 12 | 31 | |
| 13 | Hepatocellular malignancy in ABCB11/BSEP disease (progressive familial intrahepatic cholestasis, type 2): Four patients. | 1 |
| 14 | 8 | |
| 15 | A GIS Based Synthetic Watershed Sediment Routing Model | 2 |
| 16 | 17 | |
| 17 | Hydrological simulation of Tennessee's North Reelfoot Creek watershed | 37 |
| 18 | Agricultural runoff modeling in a small west Tennessee watershed | 31 |
| 19 | Urea kinetics: The possibility of selectively-reduced treatment frequency | 3 |
| 20 | Controlling crown gall with biological antagonists. | 1 |
About Linda W. Moore
Linda W. Moore is a scholar working on Transplantation, Nephrology and Hepatology, having authored 195 papers that have together received 4.6k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (35 papers), Organ Transplantation Techniques and Outcomes (24 papers) and Dialysis and Renal Disease Management (22 papers). The work is most often cited by research in Transplantation (755 citations), Nephrology (940 citations) and Plant Science (1.0k citations). Linda W. Moore has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include A. Osama Gaber, Sergio R. Acchiardo, Guylyn Warren, Philippe Latour, John Stanievich, Lillian W. Gaber, Linda Brodsky, Gary A. Strobel, Rita R. Alloway and Wadi N. Suki. Their work appears in journals such as Advanced Materials, Journal of Clinical Oncology and Nature Biotechnology.
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.