Donna Lowe

2.2k citations
33 papers · 1.7k · h-index 20

Impact in

Papers in

Donna Lowe

32 papers receiving 1.6k citations

Peers

Donna Lowe
Comparison fields: 5 of 104
  • Endocrinology, Diabetes and Metabolism 488
  • Nephrology 123
  • Oncology 426
  • Reproductive Medicine 115
  • Genetics 115
Replace Austin L. Vickery with:
Austin L. Vickery United States
Young Lyun Oh South Korea
Frédérique Dijoud France
Masami Sakurai Japan
H. Heinrichs Germany
H. Thomas Norris United States
Takao Sonoda Japan
D J Pollock United Kingdom
EK Kruithof Switzerland
Laszlo Bajzar Canada
Donna Lowe relative to Austin L. Vickery United States Austin L. Vickery's profile →
Citations per field
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Citations per year

Countries citing papers authored by Donna Lowe

Since Specialization
Citations

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

Fields of papers citing papers by Donna Lowe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989392
2 1993224
3 1992198
4 199682
5 199878
6
Constitutive expression of leukemia inhibitory factor RNA by human bone marrow stromal cells and modulation by IL-1, TNF-alpha, and TGF-beta.
199172
7 199067
8 199165
9 199755
10 200552
11 199344
12 199444
13 198943
14 200236
15 199534
16 198827
17 198827
18 200126
19 199421
20 198720

About Donna Lowe

Donna Lowe is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Oncology and Epidemiology, having authored 33 papers that have together received 1.7k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (6 papers), Testicular diseases and treatments (3 papers), Neuroendocrine Tumor Research Advances (3 papers), Ovarian cancer diagnosis and treatment (2 papers), Sexual Differentiation and Disorders (2 papers), Lung Cancer Research Studies (2 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Adrenal and Paraganglionic Tumors (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (488 citations), Nephrology (123 citations), Oncology (426 citations), Reproductive Medicine (115 citations) and Genetics (115 citations). Donna Lowe has collaborated with scholars based in United Kingdom, United States and South Africa. Frequent co-authors include G. M. Besser, Ashley Grossman, Peter Clark, Richard J. Osborne, P. F. M. Wrigley, R H Reznek, W. Gregory, M L Slevin, Simran Malik and M.O. Savage. Their work appears in journals such as Clinical Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Journal of Clinical Pathology, BJOG An International Journal of Obstetrics & Gynaecology and 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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