Munindra Ruwali

49 total papers · 613 total citations
22 papers, 416 citations indexed

About

Munindra Ruwali is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Munindra Ruwali has authored 22 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 5 papers in Pulmonary and Respiratory Medicine and 5 papers in Cancer Research. Recurrent topics in Munindra Ruwali's work include Glutathione Transferases and Polymorphisms (9 papers), Genomics, phytochemicals, and oxidative stress (8 papers) and Lung Cancer Treatments and Mutations (4 papers). Munindra Ruwali is often cited by papers focused on Glutathione Transferases and Polymorphisms (9 papers), Genomics, phytochemicals, and oxidative stress (8 papers) and Lung Cancer Treatments and Mutations (4 papers). Munindra Ruwali collaborates with scholars based in India, United States and Czechia. Munindra Ruwali's co-authors include Devendra Parmar, Mohan C. Pant, Parag P. Shah, Neeraj Mathur, Arvind Pratap Singh, Madhu Singh, Anwar Jamal Khan, Sunishtha S. Yadav, Ram Lakhan Singh and Saif Hameed and has published in prestigious journals such as Journal of Applied Microbiology, Frontiers in Pharmacology and Mutation research. Fundamental and molecular mechanisms of mutagenesis.

In The Last Decade

Munindra Ruwali

22 papers receiving 402 citations

Author Peers

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

Author						Papers	Cites
Munindra Ruwali	277	83	60	58	39	22	416
Guohua Huang	198 0.7×	30 0.4×	44 0.7×	60 1.0×	22 0.6×	31	482
P. E. Noker	188 0.7×	36 0.4×	41 0.7×	42 0.7×	50 1.3×	20	461
Hui Li	240 0.9×	46 0.6×	72 1.2×	104 1.8×	47 1.2×	32	491
Xiao-Long Mei	254 0.9×	48 0.6×	60 1.0×	122 2.1×	42 1.1×	18	470
Sujata Biswas	134 0.5×	60 0.7×	40 0.7×	124 2.1×	44 1.1×	19	370
Ning Li	169 0.6×	29 0.3×	61 1.0×	27 0.5×	27 0.7×	27	474
M. Lans	211 0.8×	36 0.4×	107 1.8×	75 1.3×	62 1.6×	30	436
Juan Zou	219 0.8×	26 0.3×	51 0.8×	87 1.5×	31 0.8×	30	399
Haibing Wang	289 1.0×	29 0.3×	44 0.7×	59 1.0×	33 0.8×	25	427
Hideki Hatta	168 0.6×	26 0.3×	38 0.6×	91 1.6×	34 0.9×	23	440

Countries citing papers authored by Munindra Ruwali

Since Specialization

Citations

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

Fields of papers citing papers by Munindra Ruwali

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Munindra Ruwali

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