Lynette M. Phillips

456 citations
9 papers · 355 · h-index 6

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
    • Glioma Diagnosis and Treatment

Papers in

Lynette M. Phillips

7 papers receiving 352 citations

Peers

Lynette M. Phillips
Comparison fields: 5 of 54
  • Cancer Research 184
  • Genetics 57
  • Molecular Biology 234
  • Oncology 52
  • Immunology 32
Replace Stephanie L. Lomonaco with:
Stephanie L. Lomonaco United States
Angelica Pace Italy
Angela Rachele Soliera Italy
Chaoying Qin China
Nahoko Tomonobu Japan
Daniil Nikitin Russia
Yamin Qiao China
Reham Helwa Egypt
Yajing Lyu United States
Lynette M. Phillips relative to Stephanie L. Lomonaco United States Stephanie L. Lomonaco's profile →
Citations per field
00.5×4.5×
Stephanie L. Lomonaco · 1×
Citations per year

Countries citing papers authored by Lynette M. Phillips

Since Specialization
Citations

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

Fields of papers citing papers by Lynette M. Phillips

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lynette M. Phillips. 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 Lynette M. Phillips. The network helps show where Lynette M. Phillips may publish in the future.

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2017186
2 201688
3 201637
4 202325
5 20218
6 20256
7 20165
8 20240
9 20260

About Lynette M. Phillips

Lynette M. Phillips is a scholar working on Molecular Biology, Cancer Research, Endocrinology, Diabetes and Metabolism, Genetics and Oncology, having authored 9 papers that have together received 355 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (2 papers), Extracellular vesicles in disease (2 papers), Virus-based gene therapy research (1 paper), Circular RNAs in diseases (1 paper), Pituitary Gland Disorders and Treatments (1 paper), MicroRNA in disease regulation (1 paper), Pancreatic and Hepatic Oncology Research (1 paper) and Cancer Cells and Metastasis (1 paper). The work is most often cited by research in Cancer Research (184 citations), Genetics (57 citations), Molecular Biology (234 citations), Oncology (52 citations) and Immunology (32 citations). Lynette M. Phillips has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Anwar Hossain, Joy Gumin, Frederick F. Lang, Juàn Fueyo, George A. Călin, Javier Figueroa, Hoon Kim, Andrew J. Bean, Roel G.W. Verhaak and Edgar T. Walters. Their work appears in journals such as Neuro-Oncology, Cancer Research, Oncotarget, Clinical Cancer Research and The Journal of Pathology.

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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