Kim Hixson

4.4k total papers · 5.2k total citations
58 papers, 3.2k citations indexed

About

Kim Hixson is a scholar working on Molecular Biology, Spectroscopy and Plant Science. According to data from OpenAlex, Kim Hixson has authored 58 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 23 papers in Spectroscopy and 12 papers in Plant Science. Recurrent topics in Kim Hixson's work include Advanced Proteomics Techniques and Applications (21 papers), Mass Spectrometry Techniques and Applications (19 papers) and Metabolomics and Mass Spectrometry Studies (7 papers). Kim Hixson is often cited by papers focused on Advanced Proteomics Techniques and Applications (21 papers), Mass Spectrometry Techniques and Applications (19 papers) and Metabolomics and Mass Spectrometry Studies (7 papers). Kim Hixson collaborates with scholars based in United States, Germany and Brazil. Kim Hixson's co-authors include Richard Smith, Ronald Moore, Mary Lipton, Yufeng Shen, David Camp, Samuel Purvine, Ljiljana Paša‐Tolić, Daniel López‐Ferrer, Joshua Adkins and Karl Weitz and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Kim Hixson

58 papers receiving 3.1k citations

Hit Papers

Omic data from evolved E.... 2010 2026 2015 2020 2010 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Kim Hixson 1.9k 1.1k 564 379 253 58 3.2k
Jie Yuan 1.9k 1.0× 372 0.4× 228 0.4× 137 0.4× 215 0.8× 70 3.7k
Daniel Amador‐Noguez 3.5k 1.8× 262 0.2× 763 1.4× 191 0.5× 320 1.3× 91 4.7k
Claudia Andreini 2.1k 1.1× 277 0.3× 177 0.3× 632 1.7× 108 0.4× 51 4.7k
Lye Meng Markillie 1.2k 0.6× 152 0.1× 231 0.4× 245 0.6× 612 2.4× 58 2.1k
Martijn W. H. Pinkse 2.0k 1.1× 1.2k 1.2× 266 0.5× 90 0.2× 112 0.4× 54 3.0k
Marjorie Fournier 1.3k 0.7× 262 0.2× 80 0.1× 203 0.5× 226 0.9× 50 2.3k
Ana Varela Coelho 1.5k 0.8× 195 0.2× 197 0.3× 747 2.0× 177 0.7× 142 4.2k
Bart Samyn 1.3k 0.7× 226 0.2× 120 0.2× 524 1.4× 105 0.4× 62 2.4k
Sébastien Gallien 1.5k 0.8× 1.1k 1.0× 133 0.2× 191 0.5× 132 0.5× 46 2.3k
Junhua Chen 2.0k 1.1× 284 0.3× 1.1k 2.0× 180 0.5× 99 0.4× 101 3.3k

Countries citing papers authored by Kim Hixson

Since Specialization
Citations

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

Fields of papers citing papers by Kim Hixson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kim Hixson

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