Kyle M. Hernandez

107 total papers · 3.1k total citations
33 papers, 1.6k citations indexed

About

Kyle M. Hernandez is a scholar working on Oncology, Molecular Biology and Genetics. According to data from OpenAlex, Kyle M. Hernandez has authored 33 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 11 papers in Molecular Biology and 10 papers in Genetics. Recurrent topics in Kyle M. Hernandez's work include Epigenetics and DNA Methylation (5 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Cancer Genomics and Diagnostics (5 papers). Kyle M. Hernandez is often cited by papers focused on Epigenetics and DNA Methylation (5 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Cancer Genomics and Diagnostics (5 papers). Kyle M. Hernandez collaborates with scholars based in United States, Germany and Canada. Kyle M. Hernandez's co-authors include Thomas Juenger, David L. Des Marais, Jorge Andrade, Riyue Bao, Jason J. Luke, Stefani Spranger, Yuanyuan Zha, Thomas F. Gajewski, Li Yan and Ricardo R. Lastra and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Kyle M. Hernandez

31 papers receiving 1.6k citations

Hit Papers

Proteomics reveals NNMT a... 2019 2026 2021 2023 2019 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Kyle M. Hernandez 554 487 337 293 245 33 1.6k
Koryu Kin 1.1k 1.9× 144 0.3× 300 0.9× 228 0.8× 214 0.9× 25 2.0k
Alexey A. Larionov 961 1.7× 470 1.0× 136 0.4× 546 1.9× 439 1.8× 49 1.9k
Tadashi Utakoji 910 1.6× 349 0.7× 96 0.3× 305 1.0× 161 0.7× 36 1.5k
Martin J. Tymms 1.0k 1.9× 500 1.0× 668 2.0× 272 0.9× 198 0.8× 53 2.0k
Brian Magnuson 1.6k 2.9× 439 0.9× 200 0.6× 178 0.6× 236 1.0× 37 2.3k
Jeong‐Hyeon Choi 1.2k 2.2× 247 0.5× 229 0.7× 201 0.7× 376 1.5× 40 1.8k
Lawrence E. Heisler 1.5k 2.7× 163 0.3× 183 0.5× 358 1.2× 166 0.7× 31 2.2k
Jan Steffen 655 1.2× 403 0.8× 197 0.6× 235 0.8× 286 1.2× 38 1.3k
Randall G. Richards 586 1.1× 169 0.3× 330 1.0× 432 1.5× 111 0.5× 50 1.6k
Yu Liang 863 1.6× 262 0.5× 358 1.1× 248 0.8× 313 1.3× 37 2.1k

Countries citing papers authored by Kyle M. Hernandez

Since Specialization
Citations

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

Fields of papers citing papers by Kyle M. Hernandez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyle M. Hernandez

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