Pratima Pandey

77 total papers · 1.0k total citations
50 papers, 599 citations indexed

About

Pratima Pandey is a scholar working on Molecular Biology, Plant Science and Aging. According to data from OpenAlex, Pratima Pandey has authored 50 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 16 papers in Plant Science and 9 papers in Aging. Recurrent topics in Pratima Pandey's work include Genetics, Aging, and Longevity in Model Organisms (9 papers), Circadian rhythm and melatonin (6 papers) and Fungal and yeast genetics research (5 papers). Pratima Pandey is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (9 papers), Circadian rhythm and melatonin (6 papers) and Fungal and yeast genetics research (5 papers). Pratima Pandey collaborates with scholars based in India, United States and Japan. Pratima Pandey's co-authors include Alok K. Mondal, A. Nath, Radha Prasanna, Takashi Asaeda, Lata Nain, Arif Ali, Sunil Pradhan, Takeshi Fujino, Kavita Babu and M. Manjunath and has published in prestigious journals such as PLoS ONE, Nature Cell Biology and Journal of Molecular Biology.

In The Last Decade

Pratima Pandey

48 papers receiving 581 citations

Author Peers

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

Author						Papers	Cites
Pratima Pandey	221	193	67	55	47	50	599
Jianzheng He	255 1.2×	91 0.5×	51 0.8×	105 1.9×	71 1.5×	48	697
Chunyan Yuan	132 0.6×	50 0.3×	42 0.6×	20 0.4×	40 0.9×	32	530
Sang‐Kyu Jung	189 0.9×	58 0.3×	156 2.3×	24 0.4×	9 0.2×	25	583
Sebastian M. Strauch	98 0.4×	49 0.3×	48 0.7×	54 1.0×	33 0.7×	38	593
Joan Smith‐Sonneborn	338 1.5×	57 0.3×	92 1.4×	127 2.3×	18 0.4×	35	551
Suechika Suzuki	214 1.0×	96 0.5×	14 0.2×	63 1.1×	33 0.7×	40	532
Ian Porto Gurgel do Amaral	262 1.2×	94 0.5×	26 0.4×	53 1.0×	17 0.4×	38	664
Rudolf K. Achazi	158 0.7×	48 0.2×	82 1.2×	66 1.2×	32 0.7×	23	568
Ting Lv	137 0.6×	227 1.2×	54 0.8×	27 0.5×	24 0.5×	41	586
Michael Christensen	298 1.3×	203 1.1×	246 3.7×	32 0.6×	119 2.5×	19	688

Countries citing papers authored by Pratima Pandey

Since Specialization

Citations

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

Fields of papers citing papers by Pratima Pandey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pratima Pandey

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