Neena Jain

33 total papers · 1.4k total citations
28 papers, 1.0k citations indexed

About

Neena Jain is a scholar working on Infectious Diseases, Epidemiology and Plant Science. According to data from OpenAlex, Neena Jain has authored 28 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Infectious Diseases, 18 papers in Epidemiology and 5 papers in Plant Science. Recurrent topics in Neena Jain's work include Antifungal resistance and susceptibility (19 papers), Fungal Infections and Studies (18 papers) and Nail Diseases and Treatments (10 papers). Neena Jain is often cited by papers focused on Antifungal resistance and susceptibility (19 papers), Fungal Infections and Studies (18 papers) and Nail Diseases and Treatments (10 papers). Neena Jain collaborates with scholars based in United States, India and United Kingdom. Neena Jain's co-authors include Bettina C. Fries, Muhamad Fahmi Hasan, Immaculata Xess, Xiabo Wang, Emily Cook, U. Banerjee, Abraham Guerrero, P. Gialanella, Tsung Chain Chang and Rakhi Kohli and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied and Environmental Microbiology and Scientific Reports.

In The Last Decade

Neena Jain

27 papers receiving 994 citations

Author Peers

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

Author Last Decade Papers Cites
Neena Jain 721 645 177 119 112 28 1.0k
Sergey Balashov 346 0.5× 391 0.6× 271 1.5× 85 0.7× 33 0.3× 31 887
Gang Luo 318 0.4× 202 0.3× 228 1.3× 58 0.5× 30 0.3× 33 888
Arnaud Firon 432 0.6× 407 0.6× 484 2.7× 140 1.2× 51 0.5× 34 1.2k
Soon-Hwan Oh 888 1.2× 602 0.9× 343 1.9× 74 0.6× 26 0.2× 16 1.1k
D. Toubas 284 0.4× 247 0.4× 149 0.8× 97 0.8× 83 0.7× 36 834
O. Faure 532 0.7× 443 0.7× 70 0.4× 42 0.4× 102 0.9× 24 877
Kaitlin F. Mitchell 767 1.1× 485 0.8× 502 2.8× 96 0.8× 46 0.4× 21 1.1k
Flemming Schønning Rosenvinge 768 1.1× 776 1.2× 112 0.6× 36 0.3× 94 0.8× 52 1.2k
Fernando César Bizerra 564 0.8× 377 0.6× 245 1.4× 76 0.6× 103 0.9× 15 883
C. Kauffmann‐Lacroix 584 0.8× 392 0.6× 264 1.5× 104 0.9× 163 1.5× 41 1.1k

Countries citing papers authored by Neena Jain

Since Specialization
Citations

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

Fields of papers citing papers by Neena Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neena Jain

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