Marc C. Ippolito

1.0k citations
7 papers · 809 indexed · 1 hit paper · h-index 7
Topics
Peroxisome Proliferator-Activated Receptors (6 papers)Metabolism, Diabetes, and Cancer (4 papers)Cholesterol and Lipid Metabolism (2 papers)
Partner nations
United StatesGermany

In The Last Decade

Marc C. Ippolito

7 papers receiving 787 citations

Hit Papers

(d)-β-Hydroxybutyrate Inhibits Adipocyte Lipolysis via th...20052026201220192005100200300400500

Peers

Marc C. Ippolito
Comparison fields: 5 of 81
  • Molecular Biology 402
  • Physiology 380
  • Endocrinology, Diabetes and Metabolism 221
  • Surgery 143
  • Epidemiology 95
Replace Tsuei-Ju Wu with:
Tsuei-Ju Wu United States
Rafael M. Costa Brazil
Franck Rencurel Switzerland
Huei‐Fen Jheng Japan
Carrie-Lynn M. Soltys Canada
Kahealani Uehara United States
Inês C. M. Simões Poland
Bartłomiej Łukaszuk Poland
Kristina Bardová Czechia
Takaharu Maruyama Japan
Marc C. Ippolito relative to Tsuei-Ju Wu United States Tsuei-Ju Wu's profile →
Citations per field
00.5×1.5×
Tsuei-Ju Wu · 1×
Citations per year

Countries citing papers authored by Marc C. Ippolito

Since Specialization
Citations

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

Fields of papers citing papers by Marc C. Ippolito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc C. Ippolito. 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 Marc C. Ippolito. The network helps show where Marc C. Ippolito may publish in the future.

Co-authorship network of co-authors of Marc C. Ippolito

This figure shows the co-authorship network connecting the top 25 collaborators of Marc C. Ippolito. A scholar is included among the top collaborators of Marc C. Ippolito 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 Marc C. Ippolito. Marc C. Ippolito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 15
2
(d)-β-Hydroxybutyrate Inhibits Adipocyte Lipolysis via the Nicotinic Acid Receptor PUMA-Gbreakdown →
529
3 26
4 50
5 53
6 51
7 85

About Marc C. Ippolito

Marc C. Ippolito is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 7 papers that have together received 809 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (6 papers), Metabolism, Diabetes, and Cancer (4 papers) and Cholesterol and Lipid Metabolism (2 papers). The work is most often cited by research in Physiology (380 citations), Endocrinology, Diabetes and Metabolism (221 citations) and Biological Psychiatry (24 citations). Marc C. Ippolito has collaborated with scholars based in United States and Germany. Frequent co-authors include Samuel D. Wright, Daniel T. Connolly, Tian‐Quan Cai, Andrew K.P. Taggart, M. Gerard Waters, Ning Ren, Ruoping Chen, Jukka Kero, Jeremy G. Richman and Chen Liaw. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and Journal of Medicinal Chemistry.

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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