Mark Manzano
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cell Biology top 5%
- Hippo pathway signaling and YAP/TAZ
Papers in
- Oncology 11
- Viral-associated cancers and disorders 10
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- Mosquito-borne diseases and control 6
- Malaria Research and Control 4
- Co-authors
- Eva Gottwein (11 shared papers)Radhakrishnan Padmanabhan (6 shared papers)Ajinkya Patil (4 shared papers)Stefanie Grosswendt (1 shared paper)Andrei Filipchyk (1 shared paper)Marcel Schilling (1 shared paper)Filippos Klironomos (1 shared paper)Nikolaus Rajewsky (1 shared paper)
- Journals
- Journal of Virology (3 papers)Nature Communications (3 papers)Antiviral Research (2 papers)RNA (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesGermanyMexico
In The Last Decade
Mark Manzano
21 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 68
- Cancer Research 265
- Cell Biology 236
- Virology 44
- Oncology 213
- Molecular Biology 560
Countries citing papers authored by Mark Manzano
This map shows the geographic impact of Mark Manzano'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 Mark Manzano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Manzano more than expected).
Fields of papers citing papers by Mark Manzano
This network shows the impact of papers produced by Mark Manzano. 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 Mark Manzano. The network helps show where Mark Manzano may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Manzano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 316 | |
| 2 | 2014 | 235 | |
| 3 | 2014 | 99 | |
| 4 | 2011 | 90 | |
| 5 | 2018 | 51 | |
| 6 | 2018 | 36 | |
| 7 | 2013 | 35 | |
| 8 | 2015 | 35 | |
| 9 | 2014 | 33 | |
| 10 | 2016 | 31 | |
| 11 | 2019 | 26 | |
| 12 | 2020 | 23 | |
| 13 | 2019 | 18 | |
| 14 | 2013 | 15 | |
| 15 | 2010 | 15 | |
| 16 | 2023 | 7 | |
| 17 | 2014 | 5 | |
| 18 | 2025 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2025 | 2 |
About Mark Manzano
Mark Manzano is a scholar working on Oncology, Public Health, Environmental and Occupational Health, Pathology and Forensic Medicine, Virology and Cancer Research, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (10 papers), Mosquito-borne diseases and control (6 papers), Malaria Research and Control (4 papers), Lymphoma Diagnosis and Treatment (4 papers), MicroRNA in disease regulation (3 papers), Circular RNAs in diseases (3 papers), Cytomegalovirus and herpesvirus research (3 papers) and Insect symbiosis and bacterial influences (2 papers). The work is most often cited by research in Cancer Research (265 citations), Cell Biology (236 citations), Virology (44 citations), Oncology (213 citations) and Molecular Biology (560 citations). Mark Manzano has collaborated with scholars based in United States, Germany and Mexico. Frequent co-authors include Eva Gottwein, Radhakrishnan Padmanabhan, Ajinkya Patil, Stefanie Grosswendt, Andrei Filipchyk, Marcel Schilling, Filippos Klironomos, Nikolaus Rajewsky, Siwaporn Boonyasuppayakorn and Archana Natarajan Raja. Their work appears in journals such as Journal of Virology, Nature Communications, Antiviral Research, RNA and Cell Reports.
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.