Mona Cornwell

1.6k citations
34 papers · 1.3k · h-index 21

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Cancer, Lipids, and Metabolism
    • Lipid metabolism and biosynthesis

Papers in

Mona Cornwell

34 papers receiving 1.3k citations

Peers

Mona Cornwell
Comparison fields: 5 of 95
  • Cancer Research 242
  • Biochemistry 106
  • Cell Biology 228
  • Ophthalmology 108
  • Molecular Biology 677
Replace Jennifer A. Doll with:
Jennifer A. Doll United States
A.C. Newby United Kingdom
Douglas Armellino United States
Kunio Yasunaga Japan
Chad L. Barber United States
Michael Fannon United States
María Ángeles Castilla Spain
Magdalena L. Bochenek Germany
Adam J. Belanger United States
Yoshinobu Toda Japan
Mona Cornwell relative to Jennifer A. Doll United States Jennifer A. Doll's profile →
Citations per field
00.5×1.7×
Jennifer A. Doll · 1×
Citations per year

Countries citing papers authored by Mona Cornwell

Since Specialization
Citations

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

Fields of papers citing papers by Mona Cornwell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003230
2 2009175
3 2008107
4 201188
5 200776
6 201263
7 201355
8 200353
9 200537
10 201333
11 201531
12 200831
13 201430
14 201327
15
Prediagnostic serum levels of 1,25-dihydroxyvitamin D and malignant melanoma.
199226
16 201723
17 200623
18 201122
19 201122
20 201021

About Mona Cornwell

Mona Cornwell is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Surgery and Biochemistry, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (7 papers), Cancer, Lipids, and Metabolism (6 papers), Lipid metabolism and biosynthesis (5 papers), Renal and related cancers (4 papers), Adipose Tissue and Metabolism (4 papers), Renal cell carcinoma treatment (3 papers), Prostate Cancer Treatment and Research (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Cancer Research (242 citations), Biochemistry (106 citations), Cell Biology (228 citations), Ophthalmology (108 citations) and Molecular Biology (677 citations). Mona Cornwell has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Susan E. Crawford, Jennifer A. Doll, Veronica Stellmach, Chuhan Chung, Lisa P. Abramson, Susan E. Crawford, Chung Lee, Anders Bergh, Philip Fitchev and Michael R. Pins. Their work appears in journals such as Gastroenterology, Journal of Pediatric Surgery, Laboratory Investigation, Journal of Thoracic and Cardiovascular Surgery and The Journal of Cell Biology.

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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