Becky Slagle‐Webb

1.4k citations
35 papers · 1.2k · h-index 14

Impact in

  • Hematology top 5%
    • Iron Metabolism and Disorders
  • Genetics top 5%
    • Hemoglobinopathies and Related Disorders
    • Glioma Diagnosis and Treatment

Papers in

Becky Slagle‐Webb

34 papers receiving 1.2k citations

Peers

Becky Slagle‐Webb
Comparison fields: 5 of 84
  • Hematology 247
  • Genetics 209
  • Biomaterials 199
  • Neurology 121
  • Developmental Neuroscience 49
Replace Achuthamangalam B. Madhankumar with:
Achuthamangalam B. Madhankumar United States
S K Powers United States
Ewa Baumann Canada
Carsten Hagemann Germany
Rivka L. Isaacson United Kingdom
Caroline Desponts United States
Jan Olaf Stracke Switzerland
Raymond K. Tong United States
Mark C. de Gooijer Netherlands
Hadassah Sade Germany
Becky Slagle‐Webb relative to Achuthamangalam B. Madhankumar United States Achuthamangalam B. Madhankumar's profile →
Citations per field
00.5×4.5×
Achuthamangalam B. Madhankumar · 1×
Citations per year

Countries citing papers authored by Becky Slagle‐Webb

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Becky Slagle‐Webb Line = papers co-authored together Becky Slagle‐Webb links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007172
2 2008140
3 2006138
4 2002115
5 2009104
6 2006104
7 201868
8 200165
9 201161
10 201548
11 202331
12 201022
13 201918
14 202015
15 201412
16 201712
17 20188
18 20238
19 20237
20 20146

About Becky Slagle‐Webb

Becky Slagle‐Webb is a scholar working on Molecular Biology, Hematology, Neurology, Genetics and Cancer Research, having authored 35 papers that have together received 1.2k indexed citations. Recurring topics across this work include Iron Metabolism and Disorders (10 papers), Glioma Diagnosis and Treatment (6 papers), Neuroblastoma Research and Treatments (6 papers), MicroRNA in disease regulation (5 papers), Neurofibromatosis and Schwannoma Cases (4 papers), RNA Interference and Gene Delivery (4 papers), Toxin Mechanisms and Immunotoxins (3 papers) and Ferroptosis and cancer prognosis (3 papers). The work is most often cited by research in Hematology (247 citations), Genetics (209 citations), Biomaterials (199 citations), Neurology (121 citations) and Developmental Neuroscience (49 citations). Becky Slagle‐Webb has collaborated with scholars based in United States, Italy and South Korea. Frequent co-authors include James R. Connor, Achuthamangalam B. Madhankumar, Jonas M. Sheehan, Akiva Mintz, Nodar Surguladze, Denise M. Gibo, Waldemar Debinski, Anna Cozzi, Bozho Todorich and William E. Seaman. Their work appears in journals such as Neuro-Oncology, Anticancer Research, PLoS ONE, Cancer Research and Molecular Cancer Therapeutics.

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.

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