Jennifer M. Munson

112 total papers · 3.6k total citations
53 papers, 1.6k citations indexed

About

Jennifer M. Munson is a scholar working on Oncology, Biomedical Engineering and Genetics. According to data from OpenAlex, Jennifer M. Munson has authored 53 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oncology, 18 papers in Biomedical Engineering and 16 papers in Genetics. Recurrent topics in Jennifer M. Munson's work include Glioma Diagnosis and Treatment (16 papers), 3D Printing in Biomedical Research (15 papers) and Cancer Cells and Metastasis (11 papers). Jennifer M. Munson is often cited by papers focused on Glioma Diagnosis and Treatment (16 papers), 3D Printing in Biomedical Research (15 papers) and Cancer Cells and Metastasis (11 papers). Jennifer M. Munson collaborates with scholars based in United States, Switzerland and India. Jennifer M. Munson's co-authors include Adrian C. Shieh, Shayn M. Peirce, Ravi V. Bellamkonda, Walter L. Murfee, Mohammad S. Azimi, Bruce A. Corliss, Melody A. Swartz, Alexandra R. Harris, Kathryn M. Kingsmore and Rebecca R. Pompano and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Advanced Drug Delivery Reviews.

In The Last Decade

Jennifer M. Munson

50 papers receiving 1.6k citations

Author Peers

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

Author Last Decade Papers Cites
Jennifer M. Munson 589 506 475 238 237 53 1.6k
Maria Vinci 598 1.0× 602 1.2× 889 1.9× 238 1.0× 217 0.9× 46 2.0k
Manja Wobus 482 0.8× 322 0.6× 860 1.8× 420 1.8× 286 1.2× 68 2.1k
Luke J. Mortensen 518 0.9× 265 0.5× 768 1.6× 125 0.5× 248 1.0× 65 2.3k
Mara Gilardi 833 1.4× 790 1.6× 613 1.3× 215 0.9× 325 1.4× 33 1.8k
Cynthia Hajal 795 1.3× 470 0.9× 477 1.0× 164 0.7× 175 0.7× 20 1.6k
Sergey Rodin 545 0.9× 238 0.5× 1.2k 2.5× 305 1.3× 111 0.5× 60 2.1k
Uri Weinberg 673 1.1× 313 0.6× 493 1.0× 115 0.5× 135 0.6× 114 1.7k
José M. Ayuso 1.0k 1.7× 700 1.4× 467 1.0× 156 0.7× 224 0.9× 55 1.7k
Tracy Criswell 253 0.4× 644 1.3× 1.1k 2.2× 131 0.6× 221 0.9× 52 2.0k
Jerónimo Blanco 366 0.6× 321 0.6× 1.2k 2.6× 99 0.4× 159 0.7× 66 2.1k

Countries citing papers authored by Jennifer M. Munson

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer M. Munson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer M. Munson

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