Emilio P. Mottillo

4.2k citations
37 papers · 3.4k indexed · 2 hit papers · h-index 24
Topics
Adipose Tissue and Metabolism (27 papers)Lipid metabolism and biosynthesis (17 papers)Adipokines, Inflammation, and Metabolic Diseases (9 papers)

In The Last Decade

Emilio P. Mottillo

37 papers receiving 3.4k citations

Hit Papers

In Vivo Identification of Bipotential Adipocyte Progenito...201220262016202120122014100200300400500

Peers

Emilio P. Mottillo
Comparison fields: 5 of 109
  • Physiology 2.2k
  • Epidemiology 1.2k
  • Molecular Biology 1.2k
  • Biochemistry 893
  • Cardiology and Cardiovascular Medicine 410
Replace Edward T. Chouchani with:
Edward T. Chouchani United States
Sam Virtue United Kingdom
Kosaku Shinoda United States
Zhouji Chen United States
Manju Kumari India
Éric Hajduch France
Adı́lson Guilherme United States
Lei Sun Singapore
Jacques Robidoux United States
Thomas Pulinilkunnil Canada
Emilio P. Mottillo relative to Edward T. Chouchani United States Edward T. Chouchani's profile →
Citations per field
00.5×5.6×
Edward T. Chouchani · 1×
Citations per year

Countries citing papers authored by Emilio P. Mottillo

Since Specialization
Citations

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

Fields of papers citing papers by Emilio P. Mottillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emilio P. Mottillo. 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 Emilio P. Mottillo. The network helps show where Emilio P. Mottillo may publish in the future.

Co-authorship network of co-authors of Emilio P. Mottillo

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 6
2 5
3 6
4 5
5 1
6 22
7 49
8 43
9 280
10 1
11 223
12 3
13 181
14 168
15 25
16 76
17 176
18 119
19 73
20 108

About Emilio P. Mottillo

Emilio P. Mottillo is a scholar working on Biochemistry, Physiology and Aging, having authored 37 papers that have together received 3.4k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (27 papers), Lipid metabolism and biosynthesis (17 papers) and Adipokines, Inflammation, and Metabolic Diseases (9 papers). The work is most often cited by research in Biochemistry (893 citations), Physiology (2.2k citations) and Rehabilitation (298 citations). Emilio P. Mottillo has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include James G. Granneman, Yun‐Hee Lee, Anelia Petkova, Alexander Yang, Andrew V. Hubberstey, Zhengxian Zhu, Gregory R. Steinberg, Justin D. Crane, Hsiao‐Ping H. Moore and Xiang Shen. Their work appears in journals such as Journal of Biological Chemistry, Nature Medicine and Cell Metabolism.

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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