Sam Ansari

830 citations
21 papers · 541 · h-index 11

Impact in

Papers in

    • Bioinformatics and Genomic Networks 8
    • Biomedical Text Mining and Ontologies 6
    • Protein Structure and Dynamics 2
    • Smoking Behavior and Cessation 5

Sam Ansari

20 papers receiving 526 citations

Peers

Sam Ansari
Comparison fields: 5 of 97
  • Health, Toxicology and Mutagenesis 118
  • Physiology 162
  • Cancer Research 86
  • Chemical Health and Safety 3
  • Computational Theory and Mathematics 63
Replace Ashraf Elamin with:
Ashraf Elamin Switzerland
Céline Merg Switzerland
Ty M. Thomson Switzerland
Samuel C. Okpechi United States
Nelly Buron France
Cynthia G. Murphy United States
Helena Molina‐Abril Spain
Alan Young United Kingdom
Jennifer Hockings United States
Richard M. Spencer United States
Sam Ansari relative to Ashraf Elamin Switzerland Ashraf Elamin's profile →
Citations per field
00.5×3.5×
Ashraf Elamin · 1×
Citations per year

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-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.

Border = papers with Sam Ansari Line = papers co-authored together Sam Ansari links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013125
2 201987
3 201574
4 200572
5 201450
6 201824
7 201521
8 201620
9 201316
10 201611
11 201511
12 20187
13
BEL Networks Derived from Qualitative Translations of BioNLP Shared Task Annotations
20136
14 20246
15 20145
16 20072
17 20181
18 20251
19 20131
20 20121

About Sam Ansari

Sam Ansari is a scholar working on Molecular Biology, Physiology, Pulmonary and Respiratory Medicine, Health, Toxicology and Mutagenesis and Computational Theory and Mathematics, having authored 21 papers that have together received 541 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (8 papers), Biomedical Text Mining and Ontologies (6 papers), Smoking Behavior and Cessation (5 papers), Computational Drug Discovery Methods (3 papers), Air Quality and Health Impacts (3 papers), Nutritional Studies and Diet (2 papers), Protein Structure and Dynamics (2 papers) and Semantic Web and Ontologies (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (118 citations), Physiology (162 citations), Cancer Research (86 citations), Chemical Health and Safety (3 citations) and Computational Theory and Mathematics (63 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, Vincenzo Belcastro, Dirk Weisensee and Arnd Hengstermann. Their work appears in journals such as Database, Biomarkers, Bioinformatics and Biology Insights, Toxicology Letters and Food and Chemical Toxicology.

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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