Natalie Hernandez

25 total papers · 1.3k total citations
15 papers, 1.0k citations indexed

About

Natalie Hernandez is a scholar working on Molecular Biology, Insect Science and Plant Science. According to data from OpenAlex, Natalie Hernandez has authored 15 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Insect Science and 5 papers in Plant Science. Recurrent topics in Natalie Hernandez's work include Insect-Plant Interactions and Control (4 papers), Insect Resistance and Genetics (3 papers) and Epigenetics and DNA Methylation (2 papers). Natalie Hernandez is often cited by papers focused on Insect-Plant Interactions and Control (4 papers), Insect Resistance and Genetics (3 papers) and Epigenetics and DNA Methylation (2 papers). Natalie Hernandez collaborates with scholars based in United States, Brazil and Saudi Arabia. Natalie Hernandez's co-authors include Yutaka Kondo, Jean‐Pierre J. Issa, Stanley R. Hamilton, Lanlan Shen, Kazuo Konishi, Minoru Toyota, Saira Ahmed, Han Y. H. Chen, Yi Guo and E. Lin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Clinical Endocrinology & Metabolism and JNCI Journal of the National Cancer Institute.

In The Last Decade

Natalie Hernandez

15 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Natalie Hernandez 604 357 341 245 93 15 1.0k
Diana Abdueva 566 0.9× 133 0.4× 218 0.6× 335 1.4× 80 0.9× 16 1.1k
Melissa A. Merritt 372 0.6× 76 0.2× 296 0.9× 183 0.7× 94 1.0× 31 1.1k
Jian Chai 683 1.1× 75 0.2× 313 0.9× 280 1.1× 29 0.3× 16 1.1k
Mona L. Gauthier 590 1.0× 86 0.2× 426 1.2× 321 1.3× 28 0.3× 18 1.1k
Inken Wierstra 989 1.6× 132 0.4× 205 0.6× 184 0.8× 9 0.1× 15 1.2k
Maki Saitoh 695 1.2× 92 0.3× 338 1.0× 176 0.7× 12 0.1× 16 1.1k
T W Flickinger 573 0.9× 80 0.2× 559 1.6× 129 0.5× 19 0.2× 11 1.0k
Ángel Martínez‐Ramírez 562 0.9× 78 0.2× 122 0.4× 152 0.6× 187 2.0× 26 840
Mingming Fang 692 1.1× 55 0.2× 114 0.3× 124 0.5× 87 0.9× 26 1.2k
Masahiro Matsuki 229 0.4× 145 0.4× 280 0.8× 118 0.5× 18 0.2× 14 834

Countries citing papers authored by Natalie Hernandez

Since Specialization
Citations

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

Fields of papers citing papers by Natalie Hernandez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalie Hernandez

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