Melissa Stanton

39.1k citations
48 papers · 877 · h-index 14

Impact in

Papers in

Melissa Stanton

44 papers receiving 865 citations

Peers

Melissa Stanton
Comparison fields: 5 of 69
  • Pulmonary and Respiratory Medicine 500
  • Cancer Research 228
  • Oncology 363
  • Surgery 229
  • Molecular Biology 346
Replace Jiao Hu with:
Jiao Hu China
Rossella De Cecio Italy
A. Kooistra Netherlands
Lan L. Gellert United States
Luiz H. Camara-Lopes Brazil
Stephen Rohan United States
Jixian Liu China
Lara Alessandrini Italy
Zhanyong Bing United States
Kosuke Miyai Japan
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Citations per field
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Citations per year

Countries citing papers authored by Melissa Stanton

Since Specialization
Citations

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

Fields of papers citing papers by Melissa Stanton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014242
2 2015131
3 201553
4 201349
5 201539
6 201335
7
Constitutive activation with overexpression of the mTORC2-phospholipase D1 pathway in uterine leiomyosarcoma and STUMP: morphoproteomic analysis with therapeutic implications.
201033
8 201632
9
Morphoproteomic analysis reveals an overexpressed and constitutively activated phospholipase D1-mTORC2 pathway in endometrial carcinoma.
201030
10 201618
11 202216
12 201816
13 201916
14 201114
15 201913
16 202211
17 201411
18 202210
19 20218
20 20168

About Melissa Stanton

Melissa Stanton is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Cancer Research, Surgery and Oncology, having authored 48 papers that have together received 877 indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (21 papers), Renal and related cancers (13 papers), Cancer Genomics and Diagnostics (12 papers), Bladder and Urothelial Cancer Treatments (11 papers), Urinary and Genital Oncology Studies (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Epigenetics and DNA Methylation (4 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (500 citations), Cancer Research (228 citations), Oncology (363 citations), Surgery (229 citations) and Molecular Biology (346 citations). Melissa Stanton has collaborated with scholars based in United States, India and Israel. Frequent co-authors include Thai H. Ho, Erik P. Castle, Richard W. Joseph, Toni K. Choueiri, Sabina Signoretti, David F. McDermott, Michael B. Atkins, André P. Fay, Laurence Albigès and Joaquim Bellmunt. Their work appears in journals such as Journal of Clinical Oncology, Human Pathology, PLoS ONE, Clinical Epigenetics and Japanese Journal of Clinical Oncology.

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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