S. Adi

613 citations
11 papers · 527 · h-index 10

Impact in

Papers in

    • Peroxisome Proliferator-Activated Receptors 4
    • Muscle Physiology and Disorders 2
    • PI3K/AKT/mTOR signaling in cancer 2
    • Liver Disease Diagnosis and Treatment 3

S. Adi

11 papers receiving 515 citations

Peers

S. Adi
Comparison fields: 5 of 72
  • Endocrinology, Diabetes and Metabolism 110
  • Immunology 109
  • Genetics 132
  • Nutrition and Dietetics 57
  • Physiology 85
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I Harman United States
Philip G. Holtzapple United States
Mitsue Sogawa Japan
Anna Kleyman United Kingdom
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G R Gray United Kingdom
Kristen L. Williams United States
Monia Elasmi Tunisia
Saskia N. van der Crabben Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by S. Adi

Since Specialization
Citations

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

Fields of papers citing papers by S. Adi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2012120
2 199181
3
Search for mediators of the lipogenic effects of tumor necrosis factor: potential role for interleukin 6.
199061
4 199255
5 199054
6 199251
7
Interleukin 4 inhibits stimulation of hepatic lipogenesis by tumor necrosis factor, interleukin 1, and interleukin 6 but not by interferon-alpha.
199143
8 200026
9 200217
10 200116
11 20133

About S. Adi

S. Adi is a scholar working on Molecular Biology, Epidemiology, Nutrition and Dietetics, Endocrinology, Diabetes and Metabolism and Surgery, having authored 11 papers that have together received 527 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (4 papers), Fatty Acid Research and Health (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Muscle Physiology and Disorders (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Pancreatic function and diabetes (2 papers) and Diabetes Management and Research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (110 citations), Immunology (109 citations), Genetics (132 citations), Nutrition and Dietetics (57 citations) and Physiology (85 citations). S. Adi has collaborated with scholars based in United States. Frequent co-authors include Carl Grünfeld, Arthur H. Moser, Kenneth R. Feingold, Mounzer Soued, William T. Doerrler, Judy K. Shigenaga, Walter Fiers, C A Dinarello, Ilona Staprãns and Richard A. Neese. Their work appears in journals such as American Journal of Physiology-Endocrinology and Metabolism, Endocrinology, American Journal of Transplantation, Journal of Clinical Investigation and Diabetologia.

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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