Renu Jain

171 total papers · 1.4k total citations
83 papers, 935 citations indexed

About

Renu Jain is a scholar working on Applied Mathematics, Modeling and Simulation and Genetics. According to data from OpenAlex, Renu Jain has authored 83 papers receiving a total of 935 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Applied Mathematics, 16 papers in Modeling and Simulation and 10 papers in Genetics. Recurrent topics in Renu Jain's work include Fractional Differential Equations Solutions (15 papers), Mathematical functions and polynomials (8 papers) and Iterative Methods for Nonlinear Equations (8 papers). Renu Jain is often cited by papers focused on Fractional Differential Equations Solutions (15 papers), Mathematical functions and polynomials (8 papers) and Iterative Methods for Nonlinear Equations (8 papers). Renu Jain collaborates with scholars based in India, United States and United Kingdom. Renu Jain's co-authors include Vinod Kumar Jain, Linda C. Samuelson, Manoj Sharma, Cynthia S. Brunkan, Catherine S. Chew, Theresa M. Keeley, Alok Kumar, Robert J. Bielski, Juanita L. Merchant and Deborah L. Gumucio and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and Developmental Biology.

In The Last Decade

Renu Jain

71 papers receiving 877 citations

Author Peers

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

Author						Papers	Cites
Renu Jain	304	223	148	125	103	83	935
Zhihong Zhao	134 0.4×	72 0.3×	149 1.0×	51 0.4×	28 0.3×	75	909
Ralf Peeters	113 0.4×	92 0.4×	36 0.2×	29 0.2×	28 0.3×	118	1.1k
Claus Bendtsen	216 0.7×	74 0.3×	55 0.4×	27 0.2×	69 0.7×	47	984
Christoph Walker	98 0.3×	42 0.2×	30 0.2×	232 1.9×	52 0.5×	78	931
V. Parisi	165 0.5×	140 0.6×	155 1.0×	14 0.1×	37 0.4×	62	1.1k
Li Xiao	183 0.6×	324 1.5×	41 0.3×	37 0.3×	17 0.2×	61	1.1k
Ruihua Liu	268 0.9×	51 0.2×	88 0.6×	20 0.2×	43 0.4×	108	1.2k
Weijiang Zhang	346 1.1×	33 0.1×	247 1.7×	19 0.2×	15 0.1×	64	1.1k
James Stewart	52 0.2×	41 0.2×	40 0.3×	36 0.3×	24 0.2×	55	943
Zhenzhen Lu	60 0.2×	177 0.8×	16 0.1×	73 0.6×	46 0.4×	29	1.1k

Countries citing papers authored by Renu Jain

Since Specialization

Citations

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

Fields of papers citing papers by Renu Jain

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renu Jain

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