Mark Manzano

1.3k citations
21 papers · 1.0k · h-index 15

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Hippo pathway signaling and YAP/TAZ

Papers in

Mark Manzano

19 papers receiving 992 citations

Peers

Mark Manzano
Comparison fields: 5 of 69
  • Cancer Research 266
  • Cell Biology 223
  • Aging 17
  • Virology 44
  • Molecular Biology 561
Replace Wonkyung Oh with:
Wonkyung Oh United States
Malini Varadarajan United States
Anirban Adhikari United States
Amitabh V. Nimonkar United States
Yongxin Mu China
Julien Moretti United States
Angus Chen United States
G H Enders United States
David Courtney United Kingdom
Mark Manzano relative to Wonkyung Oh United States Wonkyung Oh's profile →
Citations per field
00.5×3.5×
Wonkyung Oh · 1×
Citations per year

Countries citing papers authored by Mark Manzano

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014293
2 2014224
3 201490
4 201183
5 201849
6 201333
7 201532
8 201832
9 201431
10 201630
11 201924
12 202022
13 201916
14 201015
15 201315
16 20235
17 20145
18 20251
19 20221
20 20250

About Mark Manzano

Mark Manzano is a scholar working on Oncology, Molecular Biology, Public Health, Environmental and Occupational Health, Epidemiology and Pathology and Forensic Medicine, having authored 21 papers that have together received 1.0k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (10 papers), Mosquito-borne diseases and control (6 papers), Circular RNAs in diseases (4 papers), Lymphoma Diagnosis and Treatment (4 papers), Cytomegalovirus and herpesvirus research (4 papers), Malaria Research and Control (4 papers), MicroRNA in disease regulation (3 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Cancer Research (266 citations), Cell Biology (223 citations), Aging (17 citations), Virology (44 citations) and Molecular Biology (561 citations). Mark Manzano has collaborated with scholars based in United States, Germany and Mexico. Frequent co-authors include Eva Gottwein, Radhakrishnan Padmanabhan, Nikolaus Rajewsky, Stefanie Grosswendt, Filippos Klironomos, Andrei Filipchyk, Marcel Schilling, Ajinkya Patil, Archana N. Raja and Siwaporn Boonyasuppayakorn. Their work appears in journals such as Nature Communications, Journal of Virology, 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.

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