Donna Skee

25 papers receiving 937 citations

Peers

Donna Skee
Comparison fields: 5 of 88
  • Genetics 241
  • Endocrinology, Diabetes and Metabolism 229
  • Hematology 151
  • Pathology and Forensic Medicine 130
  • Pharmacology 52
Replace A. van den Ende with:
A. van den Ende Netherlands
G. De Sandre Italy
L Price United Kingdom
Chantal Le Guellec France
Maximilian T. Lobmeyer United States
Samir Mallat Lebanon
Inna Y. Gong Canada
A Vercellone Italy
Roelof W. F. van Leeuwen Netherlands
Robert R. LaBadie United States
Donna Skee relative to A. van den Ende Netherlands A. van den Ende's profile →
Citations per field
00.5×6.8×
A. van den Ende · 1×
Citations per year

Countries citing papers authored by Donna Skee

Since Specialization
Citations

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

Fields of papers citing papers by Donna Skee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012192
2 2014107
3 201581
4 200274
5 200271
6 201268
7 201560
8 201560
9 200749
10 200932
11 201130
12 200128
13 201418
14 201617
15 200716
16 201416
17 201612
18 201311
19 20168
20 20105

About Donna Skee

Donna Skee is a scholar working on Genetics, Public Health, Environmental and Occupational Health, Hematology, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 26 papers that have together received 967 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (8 papers), Reproductive Health and Contraception (7 papers), Lymphoma Diagnosis and Treatment (4 papers), Multiple Myeloma Research and Treatments (4 papers), Diabetes Treatment and Management (3 papers), Hormonal and reproductive studies (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers) and Pregnancy and Medication Impact (2 papers). The work is most often cited by research in Genetics (241 citations), Endocrinology, Diabetes and Metabolism (229 citations), Hematology (151 citations), Pathology and Forensic Medicine (130 citations) and Pharmacology (52 citations). Donna Skee has collaborated with scholars based in United States, Belgium and France. Frequent co-authors include Frankie A. Wong, Larry S. Abrams, Jaya Natarajan, Damayanthi Devineni, Joseph Murphy, Jan de Jong, Juthamas Sukbuntherng, An Vandebosch, Marcus Hompesch and Kirk Ways. Their work appears in journals such as Blood, British Journal of Clinical Pharmacology, Clinical Pharmacokinetics, Journal of Clinical Oncology and Fertility and Sterility.

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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