Simin Rahighi
Impact in
- Cancer Research top 5%
- NF-κB Signaling Pathways
- Immunology top 10%
- interferon and immune responses
- Immune Response and Inflammation
Papers in
-
- Ubiquitin and proteasome pathways 9
- Glycosylation and Glycoproteins Research 2
- Oncology 4
- Peptidase Inhibition and Analysis 3
- Co-authors
- Soichi Wakatsuki (10 shared papers)Ivan Đikić (6 shared papers)Ryuichi Kato (3 shared papers)Fumiyo Ikeda (3 shared papers)Masato Kawasaki (2 shared papers)Masato Akutsu (2 shared papers)Tamami Uejima (1 shared paper)David Komander (1 shared paper)
- Journals
- Nature Communications (2 papers)FEBS Letters (1 paper)Advances in experimental medicine and biology (1 paper)Molecular and Cellular Biology (1 paper)ChemMedChem (1 paper)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Simin Rahighi
19 papers receiving 1.2k citations
Simin Rahighi's Hit Papers
Peers
Comparison fields: 5 of 87
- Cancer Research 350
- Immunology 393
- Molecular Biology 743
- Oncology 195
- Parasitology 33
Countries citing papers authored by Simin Rahighi
This map shows the geographic impact of Simin Rahighi'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 Simin Rahighi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simin Rahighi more than expected).
Fields of papers citing papers by Simin Rahighi
This network shows the impact of papers produced by Simin Rahighi. 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 Simin Rahighi. The network helps show where Simin Rahighi may publish in the future.
Co-authors
The 25 scholars most cited alongside Simin Rahighi, 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 | Specific Recognition of Linear Ubiquitin Chains by NEMO Is Important for NF-κB Activation Hit paper breakdown → | 2009 | 613 |
| 2 | 2010 | 118 | |
| 3 | 2014 | 89 | |
| 4 | 2018 | 87 | |
| 5 | 2014 | 39 | |
| 6 | 2018 | 34 | |
| 7 | 2012 | 32 | |
| 8 | 2019 | 27 | |
| 9 | 2022 | 25 | |
| 10 | 2011 | 20 | |
| 11 | 2019 | 20 | |
| 12 | 2016 | 19 | |
| 13 | 2020 | 13 | |
| 14 | 2021 | 12 | |
| 15 | 2020 | 12 | |
| 16 | 2010 | 7 | |
| 17 | 2022 | 6 | |
| 18 | 2009 | 6 | |
| 19 | 2023 | 5 |
About Simin Rahighi
Simin Rahighi is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Materials Chemistry, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (9 papers), interferon and immune responses (4 papers), NF-κB Signaling Pathways (4 papers), Peptidase Inhibition and Analysis (3 papers), Glycosylation and Glycoproteins Research (2 papers), Advanced Photocatalysis Techniques (2 papers), Neonatal Health and Biochemistry (2 papers) and Methemoglobinemia and Tumor Lysis Syndrome (2 papers). The work is most often cited by research in Cancer Research (350 citations), Immunology (393 citations), Molecular Biology (743 citations), Oncology (195 citations) and Parasitology (33 citations). Simin Rahighi has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Soichi Wakatsuki, Ivan Đikić, Ryuichi Kato, Fumiyo Ikeda, Masato Kawasaki, Masato Akutsu, Tamami Uejima, David Komander, Stuart Bloor and Felix Randow. Their work appears in journals such as Nature Communications, FEBS Letters, Advances in experimental medicine and biology, Molecular and Cellular Biology and ChemMedChem.
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.