Julie Russeil

1.4k citations
16 papers · 707 indexed · 1 hit paper · h-index 11
Topics
Adipose Tissue and Metabolism (4 papers)Adipokines, Inflammation, and Metabolic Diseases (4 papers)Single-cell and spatial transcriptomics (3 papers)

In The Last Decade

Julie Russeil

15 papers receiving 705 citations

Hit Papers

A stromal cell population that inhibits adipogenesis in m...20182026202020232018100200300

Peers

Julie Russeil
Comparison fields: 5 of 84
  • Molecular Biology 329
  • Physiology 296
  • Epidemiology 215
  • Immunology 92
  • Cardiology and Cardiovascular Medicine 82
Replace Daniel Alpern with:
Daniel Alpern Switzerland
Ha Nguyen United States
Eileen C. Hoyt United States
Dai Chida Japan
Baosen Jia China
Hong-Chang Tang Canada
Karla J. Oldknow United Kingdom
Yardena Segev Israel
Mohan Jayaram Estonia
Jonathan S. Cook United States
Julie Russeil relative to Daniel Alpern Switzerland Daniel Alpern's profile →
Citations per field
00.5×1.5×
Daniel Alpern · 1×
Citations per year

Countries citing papers authored by Julie Russeil

Since Specialization
Citations

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

Fields of papers citing papers by Julie Russeil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julie Russeil

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 0
2 1
3 4
4 9
5 8
6 39
7 15
8 19
9 24
10 32
11 50
12 26
13 121
14 12
15
A stromal cell population that inhibits adipogenesis in mammalian fat depotsbreakdown →
330
16 17

About Julie Russeil

Julie Russeil is a scholar working on Aging, Biological Psychiatry and Behavioral Neuroscience, having authored 16 papers that have together received 707 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Physiology (296 citations), Biological Psychiatry (24 citations) and Aging (14 citations). Julie Russeil has collaborated with scholars based in Switzerland, Germany and Belgium. Frequent co-authors include Bart Deplancke, Daniel Alpern, Petra Schwalie, Magda Zachara, Christian Wolfrum, Wenfei Sun, Gianni Soldati, Hua Dong, Christian Caprara and Vincent Gardeux. Their work appears in journals such as Nature, Nature Communications and Nature Genetics.

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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