Amit Laskar

499 total citations
11 papers, 390 citations indexed

About

Amit Laskar is a scholar working on Surgery, Molecular Biology and Oncology. According to data from OpenAlex, Amit Laskar has authored 11 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 6 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Amit Laskar's work include Cholesterol and Lipid Metabolism (7 papers), Drug Transport and Resistance Mechanisms (3 papers) and Liver Disease Diagnosis and Treatment (2 papers). Amit Laskar is often cited by papers focused on Cholesterol and Lipid Metabolism (7 papers), Drug Transport and Resistance Mechanisms (3 papers) and Liver Disease Diagnosis and Treatment (2 papers). Amit Laskar collaborates with scholars based in Sweden and Slovakia. Amit Laskar's co-authors include Xi Yuan, Wei Li, Moumita Ghosh, Sara Straniero, Mats Rudling, Bo Angelin, Wei Li, Fredrik Carlsson, Mats Rudling and Wěi Li and has published in prestigious journals such as Biochemical and Biophysical Research Communications, FEBS Letters and Free Radical Biology and Medicine.

In The Last Decade

Amit Laskar

10 papers receiving 387 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amit Laskar Sweden 8 112 88 79 78 74 11 390
Ning Zeng China 12 126 1.1× 53 0.6× 77 1.0× 40 0.5× 141 1.9× 20 411
Jiaming Guo China 14 182 1.6× 80 0.9× 62 0.8× 59 0.8× 87 1.2× 29 506
Martin Holzer Germany 13 198 1.8× 145 1.6× 46 0.6× 49 0.6× 79 1.1× 21 587
Shibin Feng China 10 145 1.3× 62 0.7× 31 0.4× 62 0.8× 109 1.5× 11 485
May Lin Yap Australia 11 189 1.7× 63 0.7× 72 0.9× 39 0.5× 153 2.1× 13 560
Miaojuan Qiu China 13 202 1.8× 30 0.3× 82 1.0× 55 0.7× 73 1.0× 21 425
Jutta Jordan Germany 8 198 1.8× 111 1.3× 34 0.4× 55 0.7× 60 0.8× 8 512
Xiaoqin Jia China 12 165 1.5× 117 1.3× 45 0.6× 27 0.3× 93 1.3× 29 411
Igor Piotrowski Poland 13 191 1.7× 70 0.8× 176 2.2× 42 0.5× 89 1.2× 31 545
Shanshan Qin China 10 166 1.5× 96 1.1× 149 1.9× 35 0.4× 130 1.8× 32 480

Countries citing papers authored by Amit Laskar

Since Specialization
Citations

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

Fields of papers citing papers by Amit Laskar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amit Laskar. 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 Amit Laskar. The network helps show where Amit Laskar may publish in the future.

Co-authorship network of co-authors of Amit Laskar

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

All Works

11 of 11 papers shown
1.
Straniero, Sara, et al.. (2021). Murine bile acids explain species differences in the regulation of bile acid and cholesterol metabolism. Atherosclerosis. 331. e128–e128. 1 indexed citations
2.
Straniero, Sara, et al.. (2020). Of mice and men: murine bile acids explain species differences in the regulation of bile acid and cholesterol metabolism. Journal of Lipid Research. 61(4). 480–491. 82 indexed citations
3.
Rudling, Mats, Amit Laskar, & Sara Straniero. (2019). Gallbladder bile supersaturated with cholesterol in gallstone patients preferentially develops from shortage of bile acids. Journal of Lipid Research. 60(3). 498–505. 29 indexed citations
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6.
Laskar, Amit, et al.. (2013). SPION primes THP1 derived M2 macrophages towards M1-like macrophages. Biochemical and Biophysical Research Communications. 441(4). 737–742. 114 indexed citations
7.
Li, Wei, et al.. (2012). Cell death induced by 7-oxysterols via lysosomal and mitochondrial pathways is p53-dependent. Free Radical Biology and Medicine. 53(11). 2054–2061. 18 indexed citations
8.
Laskar, Amit, et al.. (2012). Degradation of Superparamagnetic Iron Oxide Nanoparticle-Induced Ferritin by Lysosomal Cathepsins and Related Immune Response. Nanomedicine. 7(5). 705–717. 69 indexed citations
9.
Ghosh, Moumita, Fredrik Carlsson, Amit Laskar, Xi Yuan, & Wei Li. (2011). Lysosomal membrane permeabilization causes oxidative stress and ferritin induction in macrophages. FEBS Letters. 585(4). 623–629. 55 indexed citations
10.
Laskar, Amit, Xi Yuan, & Wěi Li. (2010). Dimethyl Sulfoxide Prevents 7β-Hydroxycholesterol-Induced Apoptosis by Preserving Lysosomes and Mitochondria. Journal of Cardiovascular Pharmacology. 56(3). 263–267. 10 indexed citations
11.
Laskar, Amit, Sayem Miah, Rolf G. G. Andersson, & Wei Li. (2010). Prevention of 7β-hydroxycholesterol-induced cell death by mangafodipir is mediated through lysosomal and mitochondrial pathways. European Journal of Pharmacology. 640(1-3). 124–128. 9 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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