Ehsan Vafadarnejad
- Immunology top 5%
- Molecular Biology top 10%
- Epidemiology
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Co-authors
- Antoine‐Emmanuel SalibaAlma ZerneckeClément CochainHolger WinkelsDennis WolfKlaus LeyPanagiota ArampatziJaroslav Pelisek
- Topics
- Single-cell and spatial transcriptomics (3 papers)Immune cells in cancer (3 papers)Neuroinflammation and Neurodegeneration Mechanisms (2 papers)
- Cited by
- ImmunologyNeurologyMolecular Biology
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Ehsan Vafadarnejad
10 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Immunology 882
- Molecular Biology 727
- Epidemiology 230
- Cardiology and Cardiovascular Medicine 201
- Surgery 128
Countries citing papers authored by Ehsan Vafadarnejad
This map shows the geographic impact of Ehsan Vafadarnejad'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 Ehsan Vafadarnejad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ehsan Vafadarnejad more than expected).
Fields of papers citing papers by Ehsan Vafadarnejad
This network shows the impact of papers produced by Ehsan Vafadarnejad. 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 Ehsan Vafadarnejad. The network helps show where Ehsan Vafadarnejad may publish in the future.
Co-authorship network of co-authors of Ehsan Vafadarnejad
This figure shows the co-authorship network connecting the top 25 collaborators of Ehsan Vafadarnejad. A scholar is included among the top collaborators of Ehsan Vafadarnejad 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 Ehsan Vafadarnejad. Ehsan Vafadarnejad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 83 | |
| 3 | 34 | |
| 4 | 12 | |
| 5 | 4 | |
| 6 | 164 | |
| 7 | 118 | |
| 8 | Single-Cell RNA-Seq Reveals the Transcriptional Landscape and Heterogeneity of Aortic Macrophages in Murine Atherosclerosisbreakdown → | 609 |
| 9 | Atlas of the Immune Cell Repertoire in Mouse Atherosclerosis Defined by Single-Cell RNA-Sequencing and Mass Cytometrybreakdown → | 381 |
| 10 | 1 |
About Ehsan Vafadarnejad
Ehsan Vafadarnejad is a scholar working on Neurology, Immunology and Hepatology, having authored 10 papers that have together received 1.4k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), Immune cells in cancer (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Immunology (882 citations), Neurology (113 citations) and Molecular Biology (727 citations). Ehsan Vafadarnejad has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Antoine‐Emmanuel Saliba, Alma Zernecke, Clément Cochain, Holger Winkels, Dennis Wolf, Klaus Ley, Panagiota Arampatzi, Jaroslav Pelisek, Fabian Imdahl and Christina Homberger. Their work appears in journals such as Nature Communications, Circulation Research and Journal of Virology.
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.