Ebrahim Zandi
- Cancer Research top 0.1%
- NF-κB Signaling Pathways 17
- Immunology top 0.5%
- Immune Response and Inflammation 11
- interferon and immune responses 4
- Molecular Biology top 0.5%
- Protein Kinase Regulation and GTPase Signaling 4
- Cell death mechanisms and regulation 4
- Oncology top 1%
- Cytokine Signaling Pathways and Interactions 6
- Toxicology top 1%
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- Mass Spectrometry Techniques and Applications 4
- Advanced Proteomics Techniques and Applications 4
Ebrahim Zandi
46 papers receiving 11.0k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Cancer Research 4.5k
- Immunology 4.2k
- Molecular Biology 6.1k
- Oncology 1.9k
- Toxicology 164
Countries citing papers authored by Ebrahim Zandi
This map shows the geographic impact of Ebrahim Zandi'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 Ebrahim Zandi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ebrahim Zandi more than expected).
Fields of papers citing papers by Ebrahim Zandi
This network shows the impact of papers produced by Ebrahim Zandi. 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 Ebrahim Zandi. The network helps show where Ebrahim Zandi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ebrahim Zandi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2019 | 12 | |
| 3 | 2015 | 66 | |
| 4 | 2014 | 53 | |
| 5 | 2014 | 43 | |
| 6 | 2014 | 224 | |
| 7 | 2012 | 125 | |
| 8 | 2010 | 29 | |
| 9 | 2008 | 61 | |
| 10 | 2005 | 22 | |
| 11 | 2004 | 12 | |
| 12 | 2004 | 37 | |
| 13 | 2003 | 139 | |
| 14 | 2001 | 55 | |
| 15 | 1998 | 115 | |
| 16 | IKK-γ is an essential regulatory subunit of the IκB kinase complexbreakdown → | 1998 | 810 |
| 17 | 1997 | 39 | |
| 18 | A cytokine-responsive IκB kinase that activates the transcription factor NF-κBbreakdown → | 1997 | 1880 |
| 19 | The IκB Kinase Complex (IKK) Contains Two Kinase Subunits, IKKα and IKKβ, Necessary for IκB Phosphorylation and NF-κB Activationbreakdown → | 1997 | 1604 |
| 20 | AP-1 function and regulationbreakdown → | 1997 | 2445 |
About Ebrahim Zandi
Ebrahim Zandi is a scholar working on Cancer Research, Immunology and Molecular Biology, having authored 47 papers that have together received 11.2k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (17 papers), Immune Response and Inflammation (11 papers), Cytokine Signaling Pathways and Interactions (6 papers), interferon and immune responses (4 papers), Mass Spectrometry Techniques and Applications (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Cell death mechanisms and regulation (4 papers) and Advanced Proteomics Techniques and Applications (4 papers). The work is most often cited by research in Cancer Research (4.5k citations), Immunology (4.2k citations) and Molecular Biology (6.1k citations). Ebrahim Zandi has collaborated with scholars based in United States, China and France. Frequent co-authors include Michael Karin, David M. Rothwarf, Zheng-gang Liu, Makio Hayakawa, Joseph A. DiDonato, Mireille Delhase, Gioacchino Natoli, Yi Chen, Stephen Tanner and Vineet Bafna. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, Nature, Proceedings of the National Academy of Sciences and DNA repair.
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.