Matthew R. Marcello
- Molecular Biology
- Aging top 2%
- Public Health, Environmental and Occupational Health
- Reproductive Medicine top 10%
- Genetics
- Co-authors
- Andrew SingsonJanice P. EvansKevin L. MooreGunasekaran SingaraveluJulie A. LearyWeitao JiaAndrew D. WestmuckettCarlisle P. Landel
- Topics
- Genetics, Aging, and Longevity in Model Organisms (11 papers)Reproductive Biology and Fertility (7 papers)Sperm and Testicular Function (4 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaCurrent Biology
- Partner nations
- United StatesCzechiaNetherlands
In The Last Decade
Matthew R. Marcello
15 papers receiving 302 citations
Peers
Comparison fields: 5 of 71
- Molecular Biology 127
- Aging 90
- Public Health, Environmental and Occupational Health 82
- Reproductive Medicine 74
- Genetics 58
Countries citing papers authored by Matthew R. Marcello
This map shows the geographic impact of Matthew R. Marcello'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 R. Marcello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew R. Marcello more than expected).
Fields of papers citing papers by Matthew R. Marcello
This network shows the impact of papers produced by Matthew R. Marcello. 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 R. Marcello. The network helps show where Matthew R. Marcello may publish in the future.
Co-authorship network of co-authors of Matthew R. Marcello
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew R. Marcello. A scholar is included among the top collaborators of Matthew R. Marcello 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 R. Marcello. Matthew R. Marcello is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 7 | |
| 4 | 6 | |
| 5 | 19 | |
| 6 | 17 | |
| 7 | 32 | |
| 8 | 21 | |
| 9 | 15 | |
| 10 | 2 | |
| 11 | 45 | |
| 12 | 0 | |
| 13 | 21 | |
| 14 | 24 | |
| 15 | 0 | |
| 16 | 31 | |
| 17 | 59 |
About Matthew R. Marcello
Matthew R. Marcello is a scholar working on Aging, Reproductive Medicine and Endocrine and Autonomic Systems, having authored 17 papers that have together received 304 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (11 papers), Reproductive Biology and Fertility (7 papers) and Sperm and Testicular Function (4 papers). The work is most often cited by research in Aging (90 citations), Reproductive Medicine (74 citations) and Endocrine and Autonomic Systems (19 citations). Matthew R. Marcello has collaborated with scholars based in United States, Czechia and Netherlands. Frequent co-authors include Andrew Singson, Janice P. Evans, Kevin L. Moore, Gunasekaran Singaravelu, Julie A. Leary, Weitao Jia, Andrew D. Westmuckett, Carlisle P. Landel, Indrani Chatterjee and Karl X. Chai. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Current Biology.
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.