Julia Kovsan

2.2k citations
17 papers · 1.6k · h-index 12

Impact in

    • Lipid metabolism and biosynthesis
  • Physiology top 5%
    • Adipose Tissue and Metabolism
    • Diet and metabolism studies

Papers in

    • Autophagy in Disease and Therapy 6
    • Adipokines, Inflammation, and Metabolic Diseases 4
    • Adipose Tissue and Metabolism 7
    • Diet and metabolism studies 1
    • Nitric Oxide and Endothelin Effects 1

Julia Kovsan

16 papers receiving 1.5k citations

Peers

Julia Kovsan
Comparison fields: 5 of 99
  • Biochemistry 332
  • Physiology 631
  • Epidemiology 499
  • Geriatrics and Gerontology 34
  • Aging 19
Replace Rasmus K. Petersen with:
Rasmus K. Petersen Denmark
Pavel Flachs Czechia
Phillip J. White United States
Daniel F. Vatner United States
Monika Cahová Czechia
Jianhong Ching Singapore
Mylène Perreault United States
Rolando Hernández‐Muñoz Mexico
Tahar Hajri United States
James W. Kaspar United States
Julia Kovsan relative to Rasmus K. Petersen Denmark Rasmus K. Petersen's profile →
Citations per field
00.5×2.7×
Rasmus K. Petersen · 1×
Citations per year

Countries citing papers authored by Julia Kovsan

Since Specialization
Citations

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

Fields of papers citing papers by Julia Kovsan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2009439
2 2010258
3 2006254
4 2013131
5 201588
6 201388
7 200773
8 201862
9 200946
10 201143
11 200835
12 200635
13 20165
14 20154
15 20103
16 20102
17 20100

About Julia Kovsan

Julia Kovsan is a scholar working on Epidemiology, Physiology, Biochemistry, Plant Science and Molecular Biology, having authored 17 papers that have together received 1.6k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (7 papers), Autophagy in Disease and Therapy (6 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Lipid metabolism and biosynthesis (3 papers), Research in Cotton Cultivation (2 papers), Diet and metabolism studies (1 paper), Nitric Oxide and Endothelin Effects (1 paper) and Biochemical Acid Research Studies (1 paper). The work is most often cited by research in Biochemistry (332 citations), Physiology (631 citations), Epidemiology (499 citations), Geriatrics and Gerontology (34 citations) and Aging (19 citations). Julia Kovsan has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Assaf Rudich, Nava Bashan, Andrew S. Greenberg, Sandra C. Souza, Iris Shai, Tanya Tarnovscki, Ilana Harman‐Boehm, Matthias Blüher, Rachel Golan and Boris Kirshtein. Their work appears in journals such as Journal of Biological Chemistry, Clinical Nutrition, American Journal of Physiology-Endocrinology and Metabolism, Endocrine Reviews and Diabetes Care.

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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