Terri Pietka

5.8k citations
51 papers · 3.7k indexed · 2 hit papers · h-index 27
Topics
Adipose Tissue and Metabolism (25 papers)Peroxisome Proliferator-Activated Receptors (13 papers)Adipokines, Inflammation, and Metabolic Diseases (9 papers)

In The Last Decade

Terri Pietka

50 papers receiving 3.7k citations

Hit Papers

Intrahepatic fat, not visceral fat, is linked with metabo...200920262014202020092021250500750

Peers

Terri Pietka
Comparison fields: 5 of 119
  • Molecular Biology 1.3k
  • Epidemiology 1.2k
  • Physiology 1.2k
  • Surgery 603
  • Endocrinology, Diabetes and Metabolism 572
Replace Atsunori Fukuhara with:
Atsunori Fukuhara Japan
Sophie Vaulont France
Adeline Bertola United States
Meilian Liu China
Yup Kang South Korea
Jachelle M. Ofrecio United States
Konstantinos Drosatos United States
Francesco Paolo Mancini Italy
Kook Hwan Kim South Korea
Gabriele G. Schiattarella Italy
Terri Pietka relative to Atsunori Fukuhara Japan Atsunori Fukuhara's profile →
Citations per field
00.5×1.5×2.0×
Atsunori Fukuhara · 1×
Citations per year

Countries citing papers authored by Terri Pietka

Since Specialization
Citations

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

Fields of papers citing papers by Terri Pietka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Terri Pietka

This figure shows the co-authorship network connecting the top 25 collaborators of Terri Pietka. A scholar is included among the top collaborators of Terri Pietka 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 Terri Pietka. Terri Pietka 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 3
2 1
3 3
4 12
5 30
6 42
7 6
8 4
9 13
10 25
11 16
12 49
13 53
14 4
15 154
16 76
17 25
18
Intrahepatic fat, not visceral fat, is linked with metabolic complications of obesitybreakdown →
762
19 126
20 18

About Terri Pietka

Terri Pietka is a scholar working on Physiology, Biochemistry and Geriatrics and Gerontology, having authored 51 papers that have together received 3.7k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (25 papers), Peroxisome Proliferator-Activated Receptors (13 papers) and Adipokines, Inflammation, and Metabolic Diseases (9 papers). The work is most often cited by research in Geriatrics and Gerontology (182 citations), Physiology (1.2k citations) and Biochemistry (315 citations). Terri Pietka has collaborated with scholars based in United States, Czechia and China. Frequent co-authors include Nada A. Abumrad, Samuel Klein, Bruce W. Patterson, B. Selma Mohammed, Elisa Fabbrini, Faidon Magkos, Adewole L. Okunade, David R. Eyre, Brian N. Finck and Dmitri Samovski. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological 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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