Melissa Landon

21 total papers · 1.0k total citations
11 papers, 741 citations indexed

About

Melissa Landon is a scholar working on Molecular Biology, Computational Theory and Mathematics and Physiology. According to data from OpenAlex, Melissa Landon has authored 11 papers receiving a total of 741 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Computational Theory and Mathematics and 3 papers in Physiology. Recurrent topics in Melissa Landon's work include Computational Drug Discovery Methods (3 papers), Protein Structure and Dynamics (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Melissa Landon is often cited by papers focused on Computational Drug Discovery Methods (3 papers), Protein Structure and Dynamics (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Melissa Landon collaborates with scholars based in United States, United Kingdom and Germany. Melissa Landon's co-authors include Sándor Vajda, Dima Kozakov, Ryan Brenke, David R. Hall, Dmitri Beglov, Gwo‐Yu Chuang, Carla Mattos, Rommie E. Amaro, David R. Lancia and David Ozonoff and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Journal of Medicinal Chemistry.

In The Last Decade

Melissa Landon

11 papers receiving 728 citations

Author Peers

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

Author Last Decade Papers Cites
Melissa Landon 591 303 135 102 76 11 741
Brian J. Bender 482 0.8× 199 0.7× 71 0.5× 98 1.0× 64 0.8× 22 742
Sheldon Dennis 541 0.9× 245 0.8× 161 1.2× 35 0.3× 95 1.3× 12 703
Michał Łaźniewski 537 0.9× 265 0.9× 69 0.5× 93 0.9× 90 1.2× 23 816
Hiroyasu Ohtaka 452 0.8× 160 0.5× 62 0.5× 62 0.6× 84 1.1× 12 791
Christine Rudolph 414 0.7× 348 1.1× 105 0.8× 77 0.8× 99 1.3× 13 852
Micaela Fornabaio 470 0.8× 205 0.7× 128 0.9× 230 2.3× 112 1.5× 19 799
Daniel Álvarez-García 475 0.8× 320 1.1× 105 0.8× 22 0.2× 78 1.0× 7 622
Julie E. Penzotti 341 0.6× 216 0.7× 82 0.6× 45 0.4× 107 1.4× 22 764
Sergio Ruiz‐Carmona 461 0.8× 292 1.0× 98 0.7× 23 0.2× 68 0.9× 15 673
Antonija Kuzmanic 596 1.0× 188 0.6× 188 1.4× 27 0.3× 86 1.1× 12 837

Countries citing papers authored by Melissa Landon

Since Specialization
Citations

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

Fields of papers citing papers by Melissa Landon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melissa Landon

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