Stephen Orena

21 papers receiving 1.2k citations

Hit Papers

Severe diabetes, age-dependent loss of adipose tissue, and mild growth deficiency in mice lacking Akt2/PKBβ 2003 · 594 citations
5942003202620102018100200300400500

Peers

Stephen Orena
Comparison fields: 5 of 96
  • Endocrinology, Diabetes and Metabolism 178
  • Molecular Biology 707
  • Physiology 229
  • Cell Biology 95
  • Endocrine and Autonomic Systems 36
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Citations per year

Countries citing papers authored by Stephen Orena

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Orena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Severe diabetes, age-dependent loss of adipose tissue, and mild growth deficiency in mice lacking Akt2/PKBβ
Hit paper breakdown →
2003594
2 200098
3 201377
4 202263
5 198654
6 201548
7 201344
8 202138
9 199337
10 200933
11 200933
12 200333
13 200628
14 198919
15 200713
16 201510
17 20214
18 20222
19 20241
20 20211

About Stephen Orena

Stephen Orena is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience and Computational Theory and Mathematics, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Malaria Research and Control (8 papers), Computational Drug Discovery Methods (5 papers), Neuropeptides and Animal Physiology (5 papers), Diabetes Treatment and Management (5 papers), Mosquito-borne diseases and control (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Peptidase Inhibition and Analysis (3 papers) and Research on Leishmaniasis Studies (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (178 citations), Molecular Biology (707 citations), Physiology (229 citations), Cell Biology (95 citations) and Endocrine and Autonomic Systems (36 citations). Stephen Orena has collaborated with scholars based in United States, Uganda and Switzerland. Frequent co-authors include Robert S. Garofalo, Audrey L. Hildebrandt, Dominique Brees, John D. McNeish, Jeffrey L. Stock, Kristina Rafidi, Joan Wicks, Kevin Coleman, Shawn C. Black and Timothy Coskran. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Nature Communications, Bioorganic & Medicinal Chemistry Letters, Journal of Clinical Investigation and Biochemical and Biophysical Research Communications.

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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