M. J. Patil

111 total papers · 1.0k total citations
78 papers, 720 citations indexed

About

M. J. Patil is a scholar working on Plant Science, Complementary and alternative medicine and Pharmacology. According to data from OpenAlex, M. J. Patil has authored 78 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Plant Science, 25 papers in Complementary and alternative medicine and 20 papers in Pharmacology. Recurrent topics in M. J. Patil's work include Phytochemistry and Biological Activities (20 papers), Natural Antidiabetic Agents Studies (19 papers) and Ethnobotanical and Medicinal Plants Studies (19 papers). M. J. Patil is often cited by papers focused on Phytochemistry and Biological Activities (20 papers), Natural Antidiabetic Agents Studies (19 papers) and Ethnobotanical and Medicinal Plants Studies (19 papers). M. J. Patil collaborates with scholars based in India, United States and Cambodia. M. J. Patil's co-authors include Prasad Kadam, Armen N. Akopian, Kavita Yadav, Nathaniel A. Jeske, A.R. Bafna, Michael Henry, Dustin P. Green, Rukhsana A. Rub, Atul Wahile and Dinesh Kumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neuroscience and Saudi Journal of Biological Sciences.

In The Last Decade

M. J. Patil

70 papers receiving 599 citations

Author Peers

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

Author Last Decade Papers Cites
M. J. Patil 300 156 146 125 123 78 720
Kamaruz Zaman 339 1.1× 150 1.0× 88 0.6× 132 1.1× 131 1.1× 70 860
Shtaywy Abdalla 296 1.0× 187 1.2× 124 0.8× 88 0.7× 116 0.9× 51 844
Ben A. Chindo 406 1.4× 154 1.0× 212 1.5× 104 0.8× 218 1.8× 45 826
Bagnólia Araújo da Silva 192 0.6× 125 0.8× 132 0.9× 85 0.7× 120 1.0× 80 864
Gbola Olayiwola 173 0.6× 84 0.5× 88 0.6× 134 1.1× 90 0.7× 46 640
Geison M. Costa 228 0.8× 200 1.3× 254 1.7× 71 0.6× 88 0.7× 59 764
Vikas Kumar 321 1.1× 105 0.7× 288 2.0× 119 1.0× 149 1.2× 40 877
Guilherme Antônio Lopes de Oliveira 265 0.9× 220 1.4× 127 0.9× 52 0.4× 119 1.0× 57 743
Raquel Cariño‐Cortés 186 0.6× 270 1.7× 111 0.8× 70 0.6× 98 0.8× 59 847
Sanaz Hamedeyazdan 305 1.0× 254 1.6× 184 1.3× 75 0.6× 89 0.7× 56 849

Countries citing papers authored by M. J. Patil

Since Specialization
Citations

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

Fields of papers citing papers by M. J. Patil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. J. Patil. 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 M. J. Patil. The network helps show where M. J. Patil may publish in the future.

Co-authorship network of co-authors of M. J. Patil

This figure shows the co-authorship network connecting the top 25 collaborators of M. J. Patil. A scholar is included among the top collaborators of M. J. Patil 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 M. J. Patil. M. J. Patil 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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