Mayurika Goel

45 total papers · 1.0k total citations
28 papers, 666 citations indexed

About

Mayurika Goel is a scholar working on Ecology, Evolution, Behavior and Systematics, Pharmacology and Plant Science. According to data from OpenAlex, Mayurika Goel has authored 28 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Ecology, Evolution, Behavior and Systematics, 8 papers in Pharmacology and 8 papers in Plant Science. Recurrent topics in Mayurika Goel's work include Lichen and fungal ecology (8 papers), Microbial Natural Products and Biosynthesis (7 papers) and Mycorrhizal Fungi and Plant Interactions (5 papers). Mayurika Goel is often cited by papers focused on Lichen and fungal ecology (8 papers), Microbial Natural Products and Biosynthesis (7 papers) and Mycorrhizal Fungi and Plant Interactions (5 papers). Mayurika Goel collaborates with scholars based in India, Australia and Chile. Mayurika Goel's co-authors include Rishu Kalra, Xavier A. Conlan, Mayank Agarwal, Prem Dureja, Prem Lal Uniyal, S. K. Deshmukh, Colin J. Barrow, Hartmut Laatsch, M. Sudhakara Reddy and Shivankar Agrawal and has published in prestigious journals such as Analytical Biochemistry, Journal of Cleaner Production and Journal of Agricultural and Food Chemistry.

In The Last Decade

Mayurika Goel

27 papers receiving 643 citations

Author Peers

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

Author Last Decade Papers Cites
Mayurika Goel 143 138 133 111 95 28 666
Ekaterina Krumova 198 1.4× 81 0.6× 65 0.5× 71 0.6× 219 2.3× 57 657
Roman Bleha 256 1.8× 166 1.2× 57 0.4× 34 0.3× 156 1.6× 37 730
Ying‐Jang Lai 336 2.3× 45 0.3× 45 0.3× 63 0.6× 268 2.8× 32 787
Girish Mahajan 141 1.0× 199 1.4× 25 0.2× 89 0.8× 289 3.0× 31 765
Svetlana B. Pashova 224 1.6× 96 0.7× 37 0.3× 53 0.5× 202 2.1× 18 555
Ping Yu 288 2.0× 55 0.4× 33 0.2× 121 1.1× 378 4.0× 51 782
Ahmed A. El‐Beih 193 1.3× 241 1.7× 30 0.2× 167 1.5× 175 1.8× 48 778
Hanghang Lou 283 2.0× 176 1.3× 31 0.2× 75 0.7× 295 3.1× 21 776
Yue Zhao 209 1.5× 59 0.4× 40 0.3× 28 0.3× 250 2.6× 59 777
Huiyan Wang 119 0.8× 57 0.4× 57 0.4× 25 0.2× 280 2.9× 28 590

Countries citing papers authored by Mayurika Goel

Since Specialization
Citations

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

Fields of papers citing papers by Mayurika Goel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayurika Goel

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