Pema Maretich

2.6k citations
11 papers · 1.2k indexed · 2 hit papers · h-index 8
Topics
Adipose Tissue and Metabolism (7 papers)Adipokines, Inflammation, and Metabolic Diseases (2 papers)Cardiovascular Disease and Adiposity (2 papers)
Partner nations
United StatesChinaJapan

In The Last Decade

Pema Maretich

10 papers receiving 1.2k citations

Hit Papers

UCP1-independent signaling involving SERCA2b-mediated cal...201720262020202320172018100200300400

Peers

Pema Maretich
Comparison fields: 5 of 93
  • Physiology 974
  • Epidemiology 548
  • Molecular Biology 340
  • Rehabilitation 213
  • Cardiology and Cardiovascular Medicine 205
Replace Wenshan Wang with:
Wenshan Wang United States
Eva B. Nygaard Denmark
Ruidan Xue United States
Qianqian Kang China
Helena M. Feldmann Sweden
Chelsea Hepler United States
Marcia J. Abbott United States
Kazuki Tajima Japan
Lubna Al‐Khalili Sweden
Christian Pehmøller Denmark
Pema Maretich relative to Wenshan Wang United States Wenshan Wang's profile →
Citations per field
00.5×2.7×
Wenshan Wang · 1×
Citations per year

Countries citing papers authored by Pema Maretich

Since Specialization
Citations

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

Fields of papers citing papers by Pema Maretich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pema Maretich

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 1
2 10
3 1
4 0
5 89
6 42
7 14
8 104
9
The Common and Distinct Features of Brown and Beige Adipocytesbreakdown →
409
10 129
11
UCP1-independent signaling involving SERCA2b-mediated calcium cycling regulates beige fat thermogenesis and systemic glucose homeostasisbreakdown →
442

About Pema Maretich

Pema Maretich is a scholar working on Structural Biology, Biophysics and Rehabilitation, having authored 11 papers that have together received 1.2k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (7 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Cardiovascular Disease and Adiposity (2 papers). The work is most often cited by research in Physiology (974 citations), Rehabilitation (213 citations) and Epidemiology (548 citations). Pema Maretich has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Kenji Ikeda, Shingo Kajimura, Xiaodan Lü, Takeshi Yoneshiro, Yong Chen, Kosaku Shinoda, João Paulo Camporez, Qianqian Kang, Kazuki Tajima and Kolapo M. Ajuwon. Their work appears in journals such as Advanced Materials, 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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