Sihem Sassi‐Gaha
- Molecular Biology
- Pathology and Forensic Medicine top 10%
- Immunology
- Pulmonary and Respiratory Medicine
- Dermatology top 10%
- Co-authors
- Carol M. ArtlettPeter D. KatsikisCarol Feghali‐BostwickAlina C. BoesteanuJennifer L. HopeRichard F. RestConnie StephensBrian J. Balin
- Topics
- Inflammasome and immune disorders (4 papers)Systemic Sclerosis and Related Diseases (3 papers)Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers)
- Journals
- The Journal of ImmunologyAntimicrobial Agents and ChemotherapyJournal of Investigative Dermatology
- Partner nations
- United StatesNetherlandsCanada
In The Last Decade
Sihem Sassi‐Gaha
12 papers receiving 416 citations
Peers
Comparison fields: 5 of 75
- Molecular Biology 239
- Pathology and Forensic Medicine 131
- Immunology 112
- Pulmonary and Respiratory Medicine 75
- Dermatology 48
Countries citing papers authored by Sihem Sassi‐Gaha
This map shows the geographic impact of Sihem Sassi‐Gaha'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 Sihem Sassi‐Gaha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sihem Sassi‐Gaha more than expected).
Fields of papers citing papers by Sihem Sassi‐Gaha
This network shows the impact of papers produced by Sihem Sassi‐Gaha. 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 Sihem Sassi‐Gaha. The network helps show where Sihem Sassi‐Gaha may publish in the future.
Co-authorship network of co-authors of Sihem Sassi‐Gaha
This figure shows the co-authorship network connecting the top 25 collaborators of Sihem Sassi‐Gaha. A scholar is included among the top collaborators of Sihem Sassi‐Gaha 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 Sihem Sassi‐Gaha. Sihem Sassi‐Gaha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 109 | |
| 2 | 6 | |
| 3 | 25 | |
| 4 | 23 | |
| 5 | 28 | |
| 6 | 23 | |
| 7 | 1 | |
| 8 | 159 | |
| 9 | 8 | |
| 10 | 24 | |
| 11 | 11 | |
| 12 | 4 |
About Sihem Sassi‐Gaha
Sihem Sassi‐Gaha is a scholar working on Microbiology, Pathology and Forensic Medicine and Clinical Biochemistry, having authored 12 papers that have together received 421 indexed citations. Recurring topics across this work include Inflammasome and immune disorders (4 papers), Systemic Sclerosis and Related Diseases (3 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (131 citations), Clinical Biochemistry (38 citations) and Dermatology (48 citations). Sihem Sassi‐Gaha has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Carol M. Artlett, Peter D. Katsikis, Carol Feghali‐Bostwick, Alina C. Boesteanu, Jennifer L. Hope, Richard F. Rest, Connie Stephens, Brian J. Balin, Denah M. Appelt and Michael L. Schwartz. Their work appears in journals such as The Journal of Immunology, Antimicrobial Agents and Chemotherapy and Journal of Investigative Dermatology.
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.