Sam Ansari

830 total citations
21 papers, 541 citations indexed

About

Sam Ansari is a scholar working on Molecular Biology, Physiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sam Ansari has authored 21 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Physiology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Sam Ansari's work include Bioinformatics and Genomic Networks (8 papers), Biomedical Text Mining and Ontologies (6 papers) and Smoking Behavior and Cessation (5 papers). Sam Ansari is often cited by papers focused on Bioinformatics and Genomic Networks (8 papers), Biomedical Text Mining and Ontologies (6 papers) and Smoking Behavior and Cessation (5 papers). Sam Ansari collaborates with scholars based in Switzerland, Germany and United States. Sam Ansari's co-authors include Manuel C. Peitsch, Volkhard Helms, Julia Hoeng, Alain Sewer, Stephan Gebel, Yang Xiang, Carine Poussin, Carole Mathis, Vincenzo Belcastro and Dirk Weisensee and has published in prestigious journals such as Proteins Structure Function and Bioinformatics, Food and Chemical Toxicology and Atherosclerosis.

In The Last Decade

Sam Ansari

20 papers receiving 526 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sam Ansari Switzerland 11 258 162 118 95 86 21 541
Ashraf Elamin Switzerland 15 201 0.8× 205 1.3× 192 1.6× 114 1.2× 115 1.3× 16 594
Ty M. Thomson Switzerland 9 409 1.6× 53 0.3× 62 0.5× 26 0.3× 50 0.6× 12 590
Céline Merg Switzerland 12 129 0.5× 110 0.7× 116 1.0× 80 0.8× 74 0.9× 17 350
Helena Molina‐Abril Spain 11 253 1.0× 109 0.7× 13 0.1× 17 0.2× 68 0.8× 25 434
Richard M. Spencer United States 7 142 0.6× 12 0.1× 105 0.9× 28 0.3× 33 0.4× 8 366
Alex Dayton United States 13 219 0.8× 55 0.3× 8 0.1× 64 0.7× 56 0.7× 26 644
Cynthia G. Murphy United States 8 455 1.8× 13 0.1× 71 0.6× 17 0.2× 54 0.6× 9 725
Keith Flanagan United Kingdom 6 258 1.0× 17 0.1× 70 0.6× 16 0.2× 10 0.1× 15 371
Salvatore Alaimo Italy 16 506 2.0× 42 0.3× 5 0.0× 72 0.8× 194 2.3× 49 948
Erio Barale-Thomas United States 8 75 0.3× 25 0.2× 29 0.2× 16 0.2× 20 0.2× 13 283

Countries citing papers authored by Sam Ansari

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Sam Ansari

This figure shows the co-authorship network connecting the top 25 collaborators of Sam Ansari. A scholar is included among the top collaborators of Sam Ansari 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 Sam Ansari. Sam Ansari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Simeon‐Dubach, Daniel, et al.. (2025). ISO/GxP Industrial Facilities with In-House Biobanks to Pursue Accreditation for ISO 20387. Biopreservation and Biobanking. 24(1). 34–40.
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Lüdicke, Frank, Sam Ansari, Nicola Lama, et al.. (2019). Effects of Switching to a Heat-Not-Burn Tobacco Product on Biologically Relevant Biomarkers to Assess a Candidate Modified Risk Tobacco Product: A Randomized Trial. Cancer Epidemiology Biomarkers & Prevention. 28(11). 1934–1943. 87 indexed citations
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Hoeng, Julia, Sam J. Harbo, Ulrike Kogel, et al.. (2018). Biological changes in C57BL/6 mice following 3 weeks of inhalation exposure to cigarette smoke or e-vapor aerosols. Inhalation Toxicology. 30(13-14). 553–567. 24 indexed citations
7.
Poussin, Carine, S. Spinelli, Timothy M. Curran, et al.. (2018). A clinical research investigation on the effects of cigarette smoking, e- cigarette vaping and smoking cessation on vascular cell biology. Atherosclerosis. 275. e236–e236. 1 indexed citations
8.
Madan, Sumit, Sam Ansari, Justyna Szostak, et al.. (2016). The BEL information extraction workflow (BELIEF): evaluation in the BioCreative V BEL and IAT track. Database. 2016. baw136–baw136. 11 indexed citations
9.
Fluck, Juliane, Sumit Madan, Sam Ansari, et al.. (2016). Training and evaluation corpora for the extraction of causal relationships encoded in biological expression language (BEL). Database. 2016. baw113–baw113. 20 indexed citations
10.
Szostak, Justyna, Sam Ansari, Sumit Madan, et al.. (2015). Construction of biological networks from unstructured information based on a semi-automated curation workflow. Database. 2015. bav057–bav057. 21 indexed citations
11.
Mathis, Carole, Stephan Gebel, Carine Poussin, et al.. (2015). A Systems Biology Approach Reveals the Dose- and Time-Dependent Effect of Primary Human Airway Epithelium Tissue Culture after Exposure to Cigarette Smoke in Vitro. Bioinformatics and Biology Insights. 9. BBI.S19908–BBI.S19908. 11 indexed citations
12.
Boué, Stéphanie, Marja Talikka, Jurjen W. Westra, et al.. (2015). Causal biological network database: a comprehensive platform of causal biological network models focused on the pulmonary and vascular systems. Database. 2015. bav030–bav030. 74 indexed citations
13.
Kogel, Ulrike, Walter K. Schlage, Florian Martin, et al.. (2014). A 28-day rat inhalation study with an integrated molecular toxicology endpoint demonstrates reduced exposure effects for a prototypic modified risk tobacco product compared with conventional cigarettes. Food and Chemical Toxicology. 68. 204–217. 50 indexed citations
14.
Younesi, Erfan, et al.. (2014). CSEO – the Cigarette Smoke Exposure Ontology. Journal of Biomedical Semantics. 5(1). 31–31. 5 indexed citations
15.
Fluck, Juliane, Alexander Klenner, Sumit Madan, et al.. (2013). BEL Networks Derived from Qualitative Translations of BioNLP Shared Task Annotations. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 80–88. 6 indexed citations
16.
Ansari, Sam, Stéphanie Boué, William Hayes, et al.. (2013). On Crowd-verification of Biological Networks. Bioinformatics and Biology Insights. 7. BBI.S12932–BBI.S12932. 16 indexed citations
17.
Mathis, Carole, Carine Poussin, Dirk Weisensee, et al.. (2013). Human bronchial epithelial cells exposed in vitro to cigarette smoke at the air-liquid interface resemble bronchial epithelium from human smokers. American Journal of Physiology-Lung Cellular and Molecular Physiology. 304(7). L489–L503. 125 indexed citations
18.
Mathis, Carole, Stephan Gebel, Carine Poussin, et al.. (2013). Systems biology approach reveals a dose-dependent recovery of primary human airway epithelium culture after exposure to cigarette smoke. Toxicology Letters. 221. S196–S196. 1 indexed citations
19.
Walter, Peter, Sam Ansari, & Volkhard Helms. (2007). The ABC (Analysing Biomolecular Contacts)-database. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 4(1). 31–39. 2 indexed citations
20.
Ansari, Sam & Volkhard Helms. (2005). Statistical analysis of predominantly transient protein–protein interfaces. Proteins Structure Function and Bioinformatics. 61(2). 344–355. 72 indexed citations

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.

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