Sheila Prachand

36 total papers · 717 total citations
20 papers, 574 citations indexed

About

Sheila Prachand is a scholar working on Molecular Biology, Oncology and Organic Chemistry. According to data from OpenAlex, Sheila Prachand has authored 20 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Organic Chemistry. Recurrent topics in Sheila Prachand's work include Retinoids in leukemia and cellular processes (4 papers), Histone Deacetylase Inhibitors Research (4 papers) and Autophagy in Disease and Therapy (3 papers). Sheila Prachand is often cited by papers focused on Retinoids in leukemia and cellular processes (4 papers), Histone Deacetylase Inhibitors Research (4 papers) and Autophagy in Disease and Therapy (3 papers). Sheila Prachand collaborates with scholars based in United States, Philippines and Canada. Sheila Prachand's co-authors include Leo I. Gordon, Andrew M. Evens, Ronald B. Gartenhaus, Savita Bhalla, Amareshwar T.K. Singh, Kevin A. David, Michael A. Burke, Sathyamangla V. Naga Prasad, Hossein Ardehali and Richard A. Miller and has published in prestigious journals such as Journal of Biological Chemistry, Blood and PLoS ONE.

In The Last Decade

Sheila Prachand

20 papers receiving 570 citations

Author Peers

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

Author						Papers	Cites
Sheila Prachand	328	184	101	72	63	20	574
Wu-Ming Qin	338 1.0×	158 0.9×	65 0.6×	55 0.8×	44 0.7×	13	564
Kai Chen	397 1.2×	101 0.5×	28 0.3×	47 0.7×	33 0.5×	25	656
Daniel D. VonHoff	365 1.1×	205 1.1×	57 0.6×	43 0.6×	11 0.2×	13	654
Fatemeh Ahmadipour	223 0.7×	136 0.7×	18 0.2×	35 0.5×	37 0.6×	19	545
Ji‐Yoon Noh	305 0.9×	126 0.7×	32 0.3×	25 0.3×	36 0.6×	19	548
Arpita Vyas	220 0.7×	173 0.9×	63 0.6×	57 0.8×	17 0.3×	22	607
Zhen Fang	379 1.2×	65 0.4×	46 0.5×	32 0.4×	23 0.4×	41	677
Sarathchandra Kanekal	205 0.6×	88 0.5×	29 0.3×	167 2.3×	54 0.9×	13	675
Valérie Martin	218 0.7×	52 0.3×	115 1.1×	103 1.4×	17 0.3×	17	658
Haizhao Yan	262 0.8×	66 0.4×	62 0.6×	32 0.4×	13 0.2×	28	542

Countries citing papers authored by Sheila Prachand

Since Specialization

Citations

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

Fields of papers citing papers by Sheila Prachand

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheila Prachand

This figure shows the co-authorship network connecting the top 25 collaborators of Sheila Prachand. A scholar is included among the top collaborators of Sheila Prachand 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 Sheila Prachand. Sheila Prachand 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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