Magda Zachara

824 citations
5 papers · 538 indexed · 2 hit papers · h-index 5
Topics
Adipokines, Inflammation, and Metabolic Diseases (3 papers)Adipose Tissue and Metabolism (3 papers)Single-cell and spatial transcriptomics (2 papers)

In The Last Decade

Magda Zachara

5 papers receiving 537 citations

Hit Papers

A stromal cell population that inhibits adipogenesis in m...201820262020202320182022100200300

Peers

Magda Zachara
Comparison fields: 5 of 80
  • Molecular Biology 263
  • Physiology 260
  • Epidemiology 202
  • Immunology 86
  • Cardiology and Cardiovascular Medicine 73
Replace Alessio Reggio with:
Alessio Reggio Italy
Ines Lahmann Germany
Régine Gérard Switzerland
Pernille Yde Rainer Switzerland
Alexandre Brodovitch France
Lucia Brunello Italy
Valerie Northcutt United States
Haifeng Jiao China
Caizhi Liu China
Carolyn T. Spencer United States
Magda Zachara relative to Alessio Reggio Italy Alessio Reggio's profile →
Citations per field
00.5×4.2×
Alessio Reggio · 1×
Citations per year

Countries citing papers authored by Magda Zachara

Since Specialization
Citations

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

Fields of papers citing papers by Magda Zachara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Magda Zachara

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

All Works

5 of 5 papers shown
#WorkIndexed citations
1 9
2
Live-seq enables temporal transcriptomic recording of single cellsbreakdown →
155
3 19
4
A stromal cell population that inhibits adipogenesis in mammalian fat depotsbreakdown →
330
5 25

About Magda Zachara

Magda Zachara is a scholar working on Physiology, Epidemiology and Rheumatology, having authored 5 papers that have together received 538 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (3 papers), Adipose Tissue and Metabolism (3 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Physiology (260 citations), Epidemiology (202 citations) and Genetics (55 citations). Magda Zachara has collaborated with scholars based in Switzerland, China and United Kingdom. Frequent co-authors include Bart Deplancke, Daniel Alpern, Julie Russeil, Hua Dong, Wenfei Sun, Gianni Soldati, Christian Caprara, Petra Schwalie, Christian Wolfrum and Pernille Yde Rainer. Their work appears in journals such as Nature, The EMBO Journal 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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