Becky Slagle‐Webb
Impact in
- Hematology top 5%
- Iron Metabolism and Disorders
- Genetics top 5%
- Hemoglobinopathies and Related Disorders
- Glioma Diagnosis and Treatment
Papers in
-
- RNA Interference and Gene Delivery 4
- Extracellular vesicles in disease 3
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- Iron Metabolism and Disorders 9
- Co-authors
- James R. Connor (33 shared papers)Achuthamangalam B. Madhankumar (12 shared papers)Jonas M. Sheehan (8 shared papers)Akiva Mintz (3 shared papers)Nodar Surguladze (2 shared papers)Denise M. Gibo (2 shared papers)Waldemar Debinski (2 shared papers)Xuesheng Zhang (1 shared paper)
- Journals
- Neuro-Oncology (5 papers)PLoS ONE (3 papers)Cancer Research (3 papers)Anticancer Research (3 papers)Journal of neurosurgery (2 papers)
- Partner nations
- United StatesItalyAustralia
In The Last Decade
Becky Slagle‐Webb
34 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 81
- Hematology 239
- Genetics 185
- Neurology 114
- Biomaterials 192
- Developmental Neuroscience 48
Countries citing papers authored by Becky Slagle‐Webb
This map shows the geographic impact of Becky Slagle‐Webb'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 Becky Slagle‐Webb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Becky Slagle‐Webb more than expected).
Fields of papers citing papers by Becky Slagle‐Webb
This network shows the impact of papers produced by Becky Slagle‐Webb. 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 Becky Slagle‐Webb. The network helps show where Becky Slagle‐Webb may publish in the future.
Co-authors
The 25 scholars most cited alongside Becky Slagle‐Webb, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 175 | |
| 2 | 2008 | 143 | |
| 3 | 2006 | 139 | |
| 4 | 2002 | 117 | |
| 5 | 2009 | 105 | |
| 6 | 2006 | 104 | |
| 7 | 2018 | 69 | |
| 8 | 2001 | 65 | |
| 9 | 2011 | 63 | |
| 10 | 2015 | 49 | |
| 11 | 2023 | 35 | |
| 12 | 2010 | 21 | |
| 13 | 2019 | 19 | |
| 14 | 2020 | 15 | |
| 15 | 2017 | 12 | |
| 16 | 2014 | 12 | |
| 17 | 2023 | 9 | |
| 18 | 2018 | 8 | |
| 19 | 2023 | 8 | |
| 20 | 2019 | 6 |
About Becky Slagle‐Webb
Becky Slagle‐Webb is a scholar working on Molecular Biology, Hematology, Genetics, Immunology and Neurology, having authored 36 papers that have together received 1.2k indexed citations. Recurring topics across this work include Iron Metabolism and Disorders (9 papers), Glioma Diagnosis and Treatment (6 papers), RNA Interference and Gene Delivery (4 papers), Neurofibromatosis and Schwannoma Cases (3 papers), Neuroblastoma Research and Treatments (3 papers), Trace Elements in Health (3 papers), Extracellular vesicles in disease (3 papers) and Toxin Mechanisms and Immunotoxins (3 papers). The work is most often cited by research in Hematology (239 citations), Genetics (185 citations), Neurology (114 citations), Biomaterials (192 citations) and Developmental Neuroscience (48 citations). Becky Slagle‐Webb has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include James R. Connor, Achuthamangalam B. Madhankumar, Jonas M. Sheehan, Akiva Mintz, Nodar Surguladze, Denise M. Gibo, Waldemar Debinski, Xuesheng Zhang, Bozho Todorich and William E. Seaman. Their work appears in journals such as Neuro-Oncology, PLoS ONE, Cancer Research, Anticancer Research and Journal of neurosurgery.
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.