Dawn Tolbert

641 citations
12 papers · 520 indexed · h-index 9

Impact in

  • Oncology top 10%
    • Cancer-related Molecular Pathways
    • Cutaneous Melanoma Detection and Management
    • Liver physiology and pathology

Papers in

Dawn Tolbert

11 papers receiving 513 citations

Peers

Dawn Tolbert
Comparison fields: 5 of 65
  • Oncology 298
  • Hepatology 48
  • Dermatology 51
  • Cancer Research 73
  • Molecular Biology 294
Replace K. Papadopoulos with:
K. Papadopoulos United States
Grazia Palomba Italy
Hiroji Nishino Japan
Carla Azzurra Amoreo Italy
Pietro Gangemi Italy
Gabriele Picco Italy
Moses Adeyanju United States
Zhongping Tang China
Dachuan Huang Singapore
Shi-Xun Lu China
Dawn Tolbert relative to K. Papadopoulos United States K. Papadopoulos's profile →
Citations per field
00.5×1.5×2.1×
K. Papadopoulos · 1×
Citations per year

Countries citing papers authored by Dawn Tolbert

Since Specialization
Citations

This map shows the geographic impact of Dawn Tolbert'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 Dawn Tolbert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dawn Tolbert more than expected).

Fields of papers citing papers by Dawn Tolbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dawn Tolbert. 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 Dawn Tolbert. The network helps show where Dawn Tolbert may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Dawn Tolbert, 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 Dawn Tolbert Line = papers co-authored together Dawn Tolbert links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 20190
2 20145
3 2013101
4 20072
5 2007144
6
The Estrogen Receptor-Alpha A908 (k303R) Mutation Occurs at a Low Frequency in Invasive Breast Tumors: Results From a Population-Based Study
200515
7 200547
8 200272
9 200060
10 199930
11
p53 immunoreactivity and single-strand conformational polymorphism analysis often fail to predict p53 mutational status.
199932
12
Definition of a DNA repair domain in the genomic region containing the human p53 gene.
199612

About Dawn Tolbert

Dawn Tolbert is a scholar working on Oncology, Cancer Research, Pathology and Forensic Medicine, Hepatology and Cultural Studies, having authored 12 papers that have together received 520 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (4 papers), BRCA gene mutations in cancer (2 papers), Estrogen and related hormone effects (2 papers), Breast Cancer Treatment Studies (2 papers), Genetic factors in colorectal cancer (2 papers), Lung Cancer Treatments and Mutations (2 papers), RNA modifications and cancer (1 paper) and Cell death mechanisms and regulation (1 paper). The work is most often cited by research in Oncology (298 citations), Hepatology (48 citations), Dermatology (51 citations), Cancer Research (73 citations) and Molecular Biology (294 citations). Dawn Tolbert has collaborated with scholars based in United States, Australia and India. Frequent co-authors include George F. Vande Woude, Robert C. Millikan, Kathleen Conway, Sharon N. Edmiston, Amy Noffsinger, Mathew Tantama, Xiangdong Lu, Grant N. Stemmermann, Chaoying Yin and Terry Van Dyke. Their work appears in journals such as Breast Cancer Research, Gastroenterology, Molecular and Cellular Biology, Christian Higher Education and Cancer Epidemiology Biomarkers & Prevention.

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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