Diane J. Greene

533 citations
16 papers · 433 indexed · h-index 13
Topics
Peroxisome Proliferator-Activated Receptors (7 papers)Cholesterol and Lipid Metabolism (6 papers)Cancer, Lipids, and Metabolism (6 papers)
Partner nations
United StatesFrance

In The Last Decade

Diane J. Greene

16 papers receiving 425 citations

Peers

Diane J. Greene
Comparison fields: 5 of 51
  • Surgery 249
  • Molecular Biology 158
  • Endocrinology, Diabetes and Metabolism 147
  • Cancer Research 104
  • Oncology 85
Replace May Brundert with:
May Brundert Germany
MyNgan Duong Australia
MyNgan Duong Australia
Michelle R. Joshi United States
H Czarnecka Canada
Seth M. Klein United States
Wilissa D’Souza Australia
Florence H. Mahlberg United States
Donna G. Virgil United States
Pilar Mozas Spain
Diane J. Greene relative to May Brundert Germany May Brundert's profile →
Citations per field
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Citations per year

Countries citing papers authored by Diane J. Greene

Since Specialization
Citations

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

Fields of papers citing papers by Diane J. Greene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diane J. Greene. 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 Diane J. Greene. The network helps show where Diane J. Greene may publish in the future.

Co-authorship network of co-authors of Diane J. Greene

This figure shows the co-authorship network connecting the top 25 collaborators of Diane J. Greene. A scholar is included among the top collaborators of Diane J. Greene based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Diane J. Greene. Diane J. Greene is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 9
2 14
3 37
4 40
5 12
6 19
7 32
8 12
9 43
10 15
11 15
12 101
13 10
14 20
15 13
16 41

About Diane J. Greene

Diane J. Greene is a scholar working on Biochemistry, Cancer Research and Endocrinology, Diabetes and Metabolism, having authored 16 papers that have together received 433 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (7 papers), Cholesterol and Lipid Metabolism (6 papers) and Cancer, Lipids, and Metabolism (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (147 citations), Cancer Research (104 citations) and Surgery (249 citations). Diane J. Greene has collaborated with scholars based in United States and France. Frequent co-authors include Richard E. Morton, Jonathan D. Smith, Megan Settle, Wilfried Le Goff, Cathleen R. Carlin, Lahoucine Izem, Victor Paromov, Michael Kinter, Katarzyna Białkowska and Anna Cerny. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology and Arteriosclerosis Thrombosis and Vascular 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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