Michael K. Asiedu

87 total papers · 1.7k total citations
17 papers, 1.2k citations indexed

About

Michael K. Asiedu is a scholar working on Oncology, Molecular Biology and Cell Biology. According to data from OpenAlex, Michael K. Asiedu has authored 17 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 7 papers in Molecular Biology and 5 papers in Cell Biology. Recurrent topics in Michael K. Asiedu's work include Neuroendocrine Tumor Research Advances (4 papers), Microtubule and mitosis dynamics (4 papers) and Cancer Cells and Metastasis (4 papers). Michael K. Asiedu is often cited by papers focused on Neuroendocrine Tumor Research Advances (4 papers), Microtubule and mitosis dynamics (4 papers) and Cancer Cells and Metastasis (4 papers). Michael K. Asiedu collaborates with scholars based in United States, Japan and Italy. Michael K. Asiedu's co-authors include Keith L. Knutson, James N. Ingle, Derek C. Radisky, Marshall D. Behrens, Qize Wei, Marta Santisteban, Kimberly R. Kalli, Jennifer M. Reiman, Lynn C. Hartmann and Masoud H. Manjili and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

Michael K. Asiedu

17 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
Michael K. Asiedu 722 612 288 261 211 17 1.2k
Laura S. Caskey 611 0.8× 918 1.5× 316 1.1× 199 0.8× 156 0.7× 18 1.4k
Ernst J.A. Steller 740 1.0× 715 1.2× 423 1.5× 240 0.9× 151 0.7× 20 1.5k
Marcus Ruscetti 666 0.9× 743 1.2× 324 1.1× 380 1.5× 377 1.8× 24 1.5k
Janna Paulsson 701 1.0× 748 1.2× 398 1.4× 218 0.8× 292 1.4× 21 1.5k
Lucia Fallavollita 685 0.9× 668 1.1× 420 1.5× 291 1.1× 119 0.6× 23 1.5k
Ruben Bill 549 0.8× 551 0.9× 334 1.2× 358 1.4× 116 0.5× 20 1.2k
Rama Krishna Nimmakayala 542 0.8× 730 1.2× 339 1.2× 244 0.9× 155 0.7× 28 1.2k
Albert Santamaria‐Martínez 861 1.2× 701 1.1× 410 1.4× 196 0.8× 170 0.8× 20 1.4k
Veronica Catalano 692 1.0× 658 1.1× 337 1.2× 238 0.9× 112 0.5× 11 1.3k
Yu Rebecca Miao 503 0.7× 599 1.0× 328 1.1× 439 1.7× 232 1.1× 28 1.3k

Countries citing papers authored by Michael K. Asiedu

Since Specialization
Citations

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

Fields of papers citing papers by Michael K. Asiedu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael K. Asiedu. 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 Michael K. Asiedu. The network helps show where Michael K. Asiedu may publish in the future.

Co-authorship network of co-authors of Michael K. Asiedu

This figure shows the co-authorship network connecting the top 25 collaborators of Michael K. Asiedu. A scholar is included among the top collaborators of Michael K. Asiedu 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 Michael K. Asiedu. Michael K. Asiedu 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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