Melissa J. Kasiewicz

56 total papers · 474 total citations
18 papers, 360 citations indexed

About

Melissa J. Kasiewicz is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Melissa J. Kasiewicz has authored 18 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 13 papers in Oncology and 2 papers in Molecular Biology. Recurrent topics in Melissa J. Kasiewicz's work include Cancer Immunotherapy and Biomarkers (11 papers), Immune Cell Function and Interaction (8 papers) and Immunotherapy and Immune Responses (7 papers). Melissa J. Kasiewicz is often cited by papers focused on Cancer Immunotherapy and Biomarkers (11 papers), Immune Cell Function and Interaction (8 papers) and Immunotherapy and Immune Responses (7 papers). Melissa J. Kasiewicz collaborates with scholars based in United States, India and United Kingdom. Melissa J. Kasiewicz's co-authors include William L. Redmond, Stefanie N. Linch, Michael J. McNamara, Mohammad Farhad, Annah S. Rolig, Benjamin Cottam, Talicia Savage, Shelly Bambina, Michael J. Gough and Andrew M. Jackson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and PLoS ONE.

In The Last Decade

Melissa J. Kasiewicz

17 papers receiving 351 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 J. Kasiewicz 277 238 59 36 27 18 360
Sara Fritzell 181 0.7× 173 0.7× 55 0.9× 21 0.6× 37 1.4× 16 299
Christian Avalos 221 0.8× 257 1.1× 72 1.2× 47 1.3× 14 0.5× 16 368
Prabir Chakravarty 172 0.6× 216 0.9× 98 1.7× 53 1.5× 52 1.9× 22 360
Gerasimos Rigatos 286 1.0× 279 1.2× 46 0.8× 23 0.6× 29 1.1× 12 399
Lily Xu 170 0.6× 175 0.7× 68 1.2× 28 0.8× 33 1.2× 12 333
Ryota Kondou 184 0.7× 227 1.0× 104 1.8× 33 0.9× 35 1.3× 18 355
Yangyi Bao 218 0.8× 228 1.0× 90 1.5× 28 0.8× 42 1.6× 17 345
Matilde Monti 133 0.5× 208 0.9× 65 1.1× 46 1.3× 21 0.8× 13 357
Simone Battella 266 1.0× 203 0.9× 61 1.0× 14 0.4× 44 1.6× 18 376
Qinli Sun 213 0.8× 158 0.7× 88 1.5× 33 0.9× 31 1.1× 19 387

Countries citing papers authored by Melissa J. Kasiewicz

Since Specialization
Citations

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

Fields of papers citing papers by Melissa J. Kasiewicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melissa J. Kasiewicz

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