Matthew C. Havrda

67 total papers · 1.6k total citations
30 papers, 1.2k citations indexed

About

Matthew C. Havrda is a scholar working on Molecular Biology, Cancer Research and Neurology. According to data from OpenAlex, Matthew C. Havrda has authored 30 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Cancer Research and 6 papers in Neurology. Recurrent topics in Matthew C. Havrda's work include Glioma Diagnosis and Treatment (5 papers), Inflammasome and immune disorders (5 papers) and Cancer-related molecular mechanisms research (4 papers). Matthew C. Havrda is often cited by papers focused on Glioma Diagnosis and Treatment (5 papers), Inflammasome and immune disorders (5 papers) and Cancer-related molecular mechanisms research (4 papers). Matthew C. Havrda collaborates with scholars based in United States, Switzerland and Japan. Matthew C. Havrda's co-authors include Lucy Liaw, Hirotaka Haro, Lynn M. Matrisian, Howard C. Crawford, Mark A. Israel, Katharine M. von Herrmann, Alison L. Young, Stephen Lee, William F. Hickey and Brenton R. Paolella and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and Cancer Research.

In The Last Decade

Matthew C. Havrda

28 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Matthew C. Havrda 707 224 179 178 159 30 1.2k
Claus G. Haase 565 0.8× 164 0.7× 76 0.4× 327 1.8× 154 1.0× 28 1.4k
Sipin Zhu 540 0.8× 200 0.9× 141 0.8× 113 0.6× 101 0.6× 54 1.4k
Gui‐Xian Zhao 595 0.8× 416 1.9× 171 1.0× 151 0.8× 112 0.7× 35 1.5k
Weiping Su 391 0.6× 127 0.6× 147 0.8× 130 0.7× 66 0.4× 32 960
Jason Gibson 461 0.7× 91 0.4× 221 1.2× 117 0.7× 63 0.4× 22 1.1k
Éva Korpos 458 0.6× 197 0.9× 88 0.5× 182 1.0× 265 1.7× 35 1.4k
Marios Kambouris 437 0.6× 168 0.8× 101 0.6× 124 0.7× 79 0.5× 50 1.2k
Jae‐Sung Ryu 545 0.8× 102 0.5× 167 0.9× 98 0.6× 55 0.3× 50 1.2k
Sofia A. Oliveira 590 0.8× 210 0.9× 137 0.8× 54 0.3× 147 0.9× 29 1.2k
Fanqi Kong 703 1.0× 187 0.8× 81 0.5× 75 0.4× 105 0.7× 27 1.2k

Countries citing papers authored by Matthew C. Havrda

Since Specialization
Citations

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

Fields of papers citing papers by Matthew C. Havrda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew C. Havrda. 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 Matthew C. Havrda. The network helps show where Matthew C. Havrda may publish in the future.

Co-authorship network of co-authors of Matthew C. Havrda

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew C. Havrda. A scholar is included among the top collaborators of Matthew C. Havrda 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 Matthew C. Havrda. Matthew C. Havrda 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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