G.A.S. Ansari

4.2k citations
156 papers · 3.5k indexed · h-index 34

Impact in

Papers in

G.A.S. Ansari

155 papers receiving 3.4k citations

Peers

G.A.S. Ansari
Comparison fields: 5 of 139
  • Biochemistry 336
  • Pharmacology 263
  • Biochemistry 168
  • Pathology and Forensic Medicine 501
  • Cancer Research 386
Replace Ichiro Hatayama with:
Ichiro Hatayama Japan
Dai Nakae Japan
Young‐Nam Cha South Korea
Yoichi Konishi Japan
Adrianne E. Rogers United States
Kimihiko Satoh Japan
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Lesley I. McLellan United Kingdom
Yunbo Li United States
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G.A.S. Ansari relative to Ichiro Hatayama Japan Ichiro Hatayama's profile →
Citations per field
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Ichiro Hatayama · 1×
Citations per year

Countries citing papers authored by G.A.S. Ansari

Since Specialization
Citations

This map shows the geographic impact of G.A.S. 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 G.A.S. Ansari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G.A.S. Ansari more than expected).

Fields of papers citing papers by G.A.S. Ansari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G.A.S. 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 G.A.S. Ansari. The network helps show where G.A.S. Ansari may publish in the future.

Co-authors

The 25 scholars most cited alongside G.A.S. 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 G.A.S. Ansari Line = papers co-authored together G.A.S. Ansari links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202014
2 201921
3 201141
4 201028
5 200724
6 200586
7 200539
8 20047
9
Fatty acid ethyl esters and ethanol-induced pancreatitis.
200128
10 199924
11 199745
12 199539
13 199520
14 19916
15 199112
16
Formation of lipid adducts by carbon tetrachloride
19891
17
Plausible mechanism of inactivation of plasma α1-proteinase inhibitor by acrolein
198712
18
Non-oxidative inactivation of plasma α1-protease inhibitor by carbonyl compounds found in cigarette smoke
19862
19 198512
20
Mutagenicity of autoxidized cholesterol samples
19782

About G.A.S. Ansari

G.A.S. Ansari is a scholar working on Biochemistry, Pharmacology, Pathology and Forensic Medicine, Cancer Research and Immunology, having authored 156 papers that have together received 3.5k indexed citations. Recurring topics across this work include Alcohol Consumption and Health Effects (22 papers), Liver Disease Diagnosis and Treatment (18 papers), Metabolomics and Mass Spectrometry Studies (17 papers), Carcinogens and Genotoxicity Assessment (17 papers), Glutathione Transferases and Polymorphisms (11 papers), Genomics, phytochemicals, and oxidative stress (10 papers), Analytical Chemistry and Chromatography (10 papers) and Pharmacogenetics and Drug Metabolism (10 papers). The work is most often cited by research in Biochemistry (336 citations), Pharmacology (263 citations), Biochemistry (168 citations), Pathology and Forensic Medicine (501 citations) and Cancer Research (386 citations). G.A.S. Ansari has collaborated with scholars based in United States, Egypt and Sweden. Frequent co-authors include Bhupendra S. Kaphalia, M. Firoze Khan, Sanjay Awasthi, Peter Boor, Gangduo Wang, Leland L. Smith, Kamlesh K. Bhopale, Ping Cai, Jianling Wang and Hassan Ahmad. Their work appears in journals such as Toxicology and Applied Pharmacology, Journal of Chromatography A, Journal of Toxicology and Environmental Health, Toxicology and Toxicology Letters.

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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