Olivia Osborn

5.3k citations
49 papers · 3.5k · 1 hit paper · h-index 24

Impact in

Papers in

    • Adipose Tissue and Metabolism 19
    • Diet and metabolism studies 5
    • Adipokines, Inflammation, and Metabolic Diseases 14

Olivia Osborn

47 papers receiving 3.5k citations

Olivia Osborn's Hit Papers

The cellular and signaling networks linking the immune system and metabolism in disease 2012 · 1.2k citations
1.2k0+4+9Years since publication4008001.2k

Peers

Olivia Osborn
Comparison fields: 5 of 110
  • Geriatrics and Gerontology 210
  • Physiology 1.3k
  • Endocrine and Autonomic Systems 313
  • Epidemiology 1.3k
  • Immunology 762
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Meilian Liu China
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Olivia Osborn relative to Meilian Liu China Meilian Liu's profile →
Citations per field
00.5×1.5×
Meilian Liu · 1×
Citations per year

Countries citing papers authored by Olivia Osborn

Since Specialization
Citations

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

Fields of papers citing papers by Olivia Osborn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The cellular and signaling networks linking the immune system and metabolism in disease
Hit paper breakdown →
20121202
2 2015254
3 2016240
4 2011208
5 2014192
6 2011156
7 2014140
8 2015133
9 2008128
10 2017101
11 201980
12 200978
13 200052
14 201747
15 202047
16 201343
17 201242
18 200841
19 201734
20 201133

About Olivia Osborn

Olivia Osborn is a scholar working on Physiology, Epidemiology, Molecular Biology, Endocrine and Autonomic Systems and Immunology, having authored 49 papers that have together received 3.5k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (19 papers), Adipokines, Inflammation, and Metabolic Diseases (14 papers), Regulation of Appetite and Obesity (12 papers), Immune Cell Function and Interaction (8 papers), Diet and metabolism studies (5 papers), Receptor Mechanisms and Signaling (4 papers), Diabetes Treatment and Management (4 papers) and Pancreatic function and diabetes (4 papers). The work is most often cited by research in Geriatrics and Gerontology (210 citations), Physiology (1.3k citations), Endocrine and Autonomic Systems (313 citations), Epidemiology (1.3k citations) and Immunology (762 citations). Olivia Osborn has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Jerrold M. Olefsky, Saswata Talukdar, Pingping Li, Gautam Bandyopadhyay, Da Young Oh, Tamás Bartfai, Andrew M. Johnson, Jachelle M. Ofrecio, Manuel Sánchez-Alavez and Rafael Mayoral. Their work appears in journals such as Diabetes, Journal of Clinical Investigation, Scientific Reports, Nature Medicine and Nature 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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