John Marchica
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
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- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
- Melanoma and MAPK Pathways
- Metabolomics and Mass Spectrometry Studies
Papers in
-
- RNA modifications and cancer 3
- Melanoma and MAPK Pathways 2
- Protein Degradation and Inhibitors 1
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- Cancer-related molecular mechanisms research 4
- MicroRNA in disease regulation 3
- Cancer Genomics and Diagnostics 1
- Co-authors
- Joseph Mazar (4 shared papers)John P. Shelley (2 shared papers)Bongyong Lee (6 shared papers)Ranjan J. Perera (6 shared papers)Scott Powers (2 shared papers)Jinyu Li (2 shared papers)Chunlin Cai (1 shared paper)Xin Zhou (1 shared paper)
- Journals
- Oncotarget (2 papers)Scientific Reports (1 paper)Molecular and Cellular Biology (1 paper)Journal of Investigative Dermatology (1 paper)Cancer Research (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
John Marchica
9 papers receiving 289 citations
Peers
Comparison fields: 5 of 57
- Cancer Research 163
- Molecular Biology 214
- Cell Biology 16
- Oncology 24
- Immunology 19
Countries citing papers authored by John Marchica
This map shows the geographic impact of John Marchica'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 John Marchica with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Marchica more than expected).
Fields of papers citing papers by John Marchica
This network shows the impact of papers produced by John Marchica. 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 John Marchica. The network helps show where John Marchica may publish in the future.
Co-authors
The 25 scholars most cited alongside John Marchica, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 67 | |
| 2 | 2016 | 59 | |
| 3 | 2016 | 53 | |
| 4 | 2020 | 49 | |
| 5 | 2017 | 28 | |
| 6 | 2020 | 18 | |
| 7 | 2011 | 14 | |
| 8 | 2021 | 4 | |
| 9 | 2019 | 1 |
About John Marchica
John Marchica is a scholar working on Molecular Biology, Cancer Research, Immunology, Neurology and Oncology, having authored 9 papers that have together received 293 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), MicroRNA in disease regulation (3 papers), RNA modifications and cancer (3 papers), Melanoma and MAPK Pathways (2 papers), interferon and immune responses (2 papers), Pancreatic and Hepatic Oncology Research (1 paper), Cancer Genomics and Diagnostics (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Cancer Research (163 citations), Molecular Biology (214 citations), Cell Biology (16 citations), Oncology (24 citations) and Immunology (19 citations). John Marchica has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Joseph Mazar, John P. Shelley, Bongyong Lee, Ranjan J. Perera, Scott Powers, Jinyu Li, Chunlin Cai, Xin Zhou, Animesh Ray and Megha Rajaram. Their work appears in journals such as Oncotarget, Scientific Reports, Molecular and Cellular Biology, Journal of Investigative Dermatology and Cancer Research.
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.