Sushil Bhandari

26 total papers · 776 total citations
16 papers, 428 citations indexed

About

Sushil Bhandari is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Sushil Bhandari has authored 16 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cell Biology and 4 papers in Physiology. Recurrent topics in Sushil Bhandari's work include Zebrafish Biomedical Research Applications (4 papers), Adipose Tissue and Metabolism (4 papers) and Peroxisome Proliferator-Activated Receptors (4 papers). Sushil Bhandari is often cited by papers focused on Zebrafish Biomedical Research Applications (4 papers), Adipose Tissue and Metabolism (4 papers) and Peroxisome Proliferator-Activated Receptors (4 papers). Sushil Bhandari collaborates with scholars based in South Korea, India and Canada. Sushil Bhandari's co-authors include A. S. Sheoran, Seong‐Kyu Choe, Gianpiero L. Cavalleri, Raekil Park, Hong‐Seob So, Joon No Lee, SeongAe Kwak, Gi‐Su Oh, Yong‐Il Kim and Hyungjin Kim and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Sushil Bhandari

15 papers receiving 414 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Sushil Bhandari	150	98	93	88	80	16	428
G. W. Lanyon	150 1.0×	108 1.1×	153 1.6×	56 0.6×	16 0.2×	25	420
Tao Chen	68 0.5×	66 0.7×	71 0.8×	24 0.3×	19 0.2×	31	474
Christina Brown	46 0.3×	136 1.4×	104 1.1×	27 0.3×	26 0.3×	27	443
Kunal Kumar Singh	96 0.6×	105 1.1×	44 0.5×	80 0.9×	4 0.1×	31	424
Lianghui Li	175 1.2×	86 0.9×	79 0.8×	31 0.4×	8 0.1×	40	388
Shizhong Zhang	207 1.4×	90 0.9×	90 1.0×	30 0.3×	9 0.1×	44	487
Yunpei Zhang	120 0.8×	227 2.3×	81 0.9×	80 0.9×	3 0.0×	19	469
Liang Deng	65 0.4×	90 0.9×	147 1.6×	11 0.1×	6 0.1×	17	494
Chengsheng Li	111 0.7×	187 1.9×	25 0.3×	24 0.3×	4 0.1×	31	448
Bin Liu	93 0.6×	138 1.4×	47 0.5×	49 0.6×	6 0.1×	30	419

Countries citing papers authored by Sushil Bhandari

Since Specialization

Citations

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

Fields of papers citing papers by Sushil Bhandari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sushil Bhandari

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

All Works

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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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