Michael W. Epperly

254 papers receiving 8.5k citations

Michael W. Epperly's Hit Papers

Microneedle array delivered recombinant coronavirus vaccines: Immunogenicity and rapid translational development 2020 · 343 citations
3430+6+12Years since publication200400600

Peers

Michael W. Epperly
Comparison fields: 5 of 141
  • Radiology, Nuclear Medicine and Imaging 2.4k
  • Cancer Research 1.1k
  • Genetics 735
  • Pulmonary and Respiratory Medicine 1.8k
  • Molecular Biology 3.6k
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Countries citing papers authored by Michael W. Epperly

Since Specialization
Citations

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

Fields of papers citing papers by Michael W. Epperly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael W. Epperly, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael W. Epperly Line = papers co-authored together Michael W. Epperly links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 259 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Age‐related intrinsic changes in human bone‐marrow‐derived mesenchymal stem cells and their differentiation to osteoblasts
Hit paper breakdown →
2008660
2
Microneedle array delivered recombinant coronavirus vaccines: Immunogenicity and rapid translational development
Hit paper breakdown →
2020343
3 2003227
4 2004196
5 2013194
6 2008180
7 2016166
8 1998159
9 1999139
10 2014138
11 2003132
12
Effect of radiation on interstitial fluid pressure and oxygenation in a human tumor xenograft.
1996118
13 2002114
14 2001112
15 1998110
16 1999108
17 201899
18 200397
19 201496
20 200694

About Michael W. Epperly

Michael W. Epperly is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Oncology, Molecular Biology and Cancer Research, having authored 259 papers that have together received 8.7k indexed citations. Recurring topics across this work include Effects of Radiation Exposure (97 papers), DNA Repair Mechanisms (29 papers), Radiation Therapy and Dosimetry (24 papers), Mesenchymal stem cell research (19 papers), Cancer Cells and Metastasis (18 papers), Electron Spin Resonance Studies (14 papers), Mitochondrial Function and Pathology (13 papers) and Carcinogens and Genotoxicity Assessment (13 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.4k citations), Cancer Research (1.1k citations), Genetics (735 citations), Pulmonary and Respiratory Medicine (1.8k citations) and Molecular Biology (3.6k citations). Michael W. Epperly has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Joel S. Greenberger, Julie P. Goff, Valerian E. Kagan, Joan E. Gretton, Hong Wang, Peter Wipf, Christine A. Sikora, Julie Glowacki, Shuanhu Zhou and Carolyn E. Adler. Their work appears in journals such as Radiation Research, International Journal of Radiation Oncology*Biology*Physics, Blood, Experimental Hematology and Gene Therapy.

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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