Sam Ansari
Impact in
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- Air Quality and Health Impacts
- Physiology top 10%
- Smoking Behavior and Cessation
Papers in
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- Bioinformatics and Genomic Networks 7
- Biomedical Text Mining and Ontologies 6
- Protein Structure and Dynamics 2
- Gene Regulatory Network Analysis 2
- Gene expression and cancer classification 1
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- Smoking Behavior and Cessation 6
- Co-authors
- Manuel C. Peitsch (16 shared papers)Volkhard Helms (2 shared papers)Julia Hoeng (15 shared papers)Alain Sewer (6 shared papers)Stephan Gebel (6 shared papers)Yang Xiang (3 shared papers)Carine Poussin (6 shared papers)Dirk Weisensee (4 shared papers)
- Journals
- Database (4 papers)Biomarkers (2 papers)Toxicology Letters (2 papers)Bioinformatics and Biology Insights (2 papers)Biopreservation and Biobanking (1 paper)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Sam Ansari
21 papers receiving 575 citations
Peers
Comparison fields: 5 of 101
- Health, Toxicology and Mutagenesis 109
- Physiology 170
- Cancer Research 83
- Chemical Health and Safety 3
- Computational Theory and Mathematics 71
Countries citing papers authored by Sam Ansari
This map shows the geographic impact of Sam Ansari'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 Sam Ansari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam Ansari more than expected).
Fields of papers citing papers by Sam Ansari
This network shows the impact of papers produced by Sam Ansari. 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 Sam Ansari. The network helps show where Sam Ansari may publish in the future.
Co-authors
The 25 scholars most cited alongside Sam Ansari, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 135 | |
| 2 | 2019 | 94 | |
| 3 | 2015 | 83 | |
| 4 | 2005 | 78 | |
| 5 | 2014 | 52 | |
| 6 | 2018 | 27 | |
| 7 | 2015 | 26 | |
| 8 | 2013 | 23 | |
| 9 | 2016 | 21 | |
| 10 | 2016 | 14 | |
| 11 | 2015 | 13 | |
| 12 | 2024 | 9 | |
| 13 | 2018 | 7 | |
| 14 | BEL Networks Derived from Qualitative Translations of BioNLP Shared Task Annotations | 2013 | 6 |
| 15 | 2014 | 6 | |
| 16 | 2014 | 3 | |
| 17 | 2007 | 2 | |
| 18 | 2025 | 2 | |
| 19 | 2018 | 1 | |
| 20 | 2013 | 1 |
About Sam Ansari
Sam Ansari is a scholar working on Molecular Biology, Physiology, Computational Theory and Mathematics, Pulmonary and Respiratory Medicine and Health, Toxicology and Mutagenesis, having authored 23 papers that have together received 604 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Smoking Behavior and Cessation (6 papers), Biomedical Text Mining and Ontologies (6 papers), Computational Drug Discovery Methods (3 papers), Protein Structure and Dynamics (2 papers), Air Quality and Health Impacts (2 papers), Gene Regulatory Network Analysis (2 papers) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (109 citations), Physiology (170 citations), Cancer Research (83 citations), Chemical Health and Safety (3 citations) and Computational Theory and Mathematics (71 citations). Sam Ansari has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Manuel C. Peitsch, Volkhard Helms, Julia Hoeng, Alain Sewer, Stephan Gebel, Yang Xiang, Carine Poussin, Dirk Weisensee, Carole Mathis and Arnd Hengstermann. Their work appears in journals such as Database, Biomarkers, Toxicology Letters, Bioinformatics and Biology Insights and Biopreservation and Biobanking.
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.