Kunal Poorey

46 total papers · 682 total citations
15 papers, 471 citations indexed

About

Kunal Poorey is a scholar working on Molecular Biology, Epidemiology and Modeling and Simulation. According to data from OpenAlex, Kunal Poorey has authored 15 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Epidemiology and 2 papers in Modeling and Simulation. Recurrent topics in Kunal Poorey's work include Genomics and Chromatin Dynamics (5 papers), RNA and protein synthesis mechanisms (4 papers) and RNA Research and Splicing (2 papers). Kunal Poorey is often cited by papers focused on Genomics and Chromatin Dynamics (5 papers), RNA and protein synthesis mechanisms (4 papers) and RNA Research and Splicing (2 papers). Kunal Poorey collaborates with scholars based in United States, Greece and China. Kunal Poorey's co-authors include Stefan Bekiranov, David Auble, Kelly P. Williams, Anupama Sinha, Steven S. Branda, Justin T. Baca, Ronen Polsky, Philip R. Miller, Trevor Glaros and Raga Krishnakumar and has published in prestigious journals such as Science, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

Kunal Poorey

14 papers receiving 467 citations

Author Peers

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

Author						Papers	Cites
Kunal Poorey	266	130	86	59	37	15	471
Eric J. M. Blondeel	291 1.1×	157 1.2×	201 2.3×	85 1.4×	13 0.4×	13	520
Madhu Sudhan Shaik	117 0.4×	124 1.0×	34 0.4×	32 0.5×	28 0.8×	17	515
Pablo García‐Manrique	289 1.1×	112 0.9×	110 1.3×	25 0.4×	11 0.3×	17	505
Mao‐Ze Wang	189 0.7×	67 0.5×	112 1.3×	31 0.5×	11 0.3×	19	427
Lei Zhou	296 1.1×	34 0.3×	137 1.6×	18 0.3×	19 0.5×	23	499
Yang Chu	230 0.9×	94 0.7×	131 1.5×	39 0.7×	13 0.4×	13	514
Tania B. López-Méndez	235 0.9×	122 0.9×	63 0.7×	15 0.3×	12 0.3×	21	466
Ana Camila Marques	211 0.8×	91 0.7×	182 2.1×	28 0.5×	14 0.4×	12	518
Kamel S. Ahmed	178 0.7×	113 0.9×	133 1.5×	31 0.5×	14 0.4×	9	432
Susan Jordan	196 0.7×	80 0.6×	89 1.0×	16 0.3×	10 0.3×	15	458

Countries citing papers authored by Kunal Poorey

Since Specialization

Citations

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

Fields of papers citing papers by Kunal Poorey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunal Poorey

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