Melissa V. Ramirez
Impact in
- Biochemistry top 10%
- Phytochemicals and Antioxidant Activities
- Plant Science top 10%
- Plant Molecular Biology Research
- Plant Stress Responses and Tolerance
Papers in
-
- Plant Gene Expression Analysis 2
- Glycosylation and Glycoproteins Research 1
-
- Tuberculosis Research and Epidemiology 3
- Co-authors
- Richard F. Helm (2 shared papers)A. Winkel (2 shared papers)W. Keith Ray (1 shared paper)Nathan D. Miller (1 shared paper)Daniel R. Lewis (1 shared paper)Gloria K. Muday (1 shared paper)James E. Posey (2 shared papers)David Sikes (1 shared paper)
- Journals
- Tuberculosis (2 papers)Journal of Clinical Microbiology (1 paper)Plant Molecular Biology (1 paper)BMC Microbiology (1 paper)Frontiers in Microbiology (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Melissa V. Ramirez
11 papers receiving 541 citations
Peers
Comparison fields: 5 of 76
- Biochemistry 43
- Plant Science 262
- Infectious Diseases 99
- Molecular Biology 316
- Molecular Medicine 21
Countries citing papers authored by Melissa V. Ramirez
This map shows the geographic impact of Melissa V. Ramirez'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 Melissa V. Ramirez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melissa V. Ramirez more than expected).
Fields of papers citing papers by Melissa V. Ramirez
This network shows the impact of papers produced by Melissa V. Ramirez. 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 Melissa V. Ramirez. The network helps show where Melissa V. Ramirez may publish in the future.
Co-authors
The 25 scholars most cited alongside Melissa V. Ramirez, 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 | 2011 | 286 | |
| 2 | 2010 | 63 | |
| 3 | 2007 | 49 | |
| 4 | 2012 | 42 | |
| 5 | 2013 | 33 | |
| 6 | 2013 | 20 | |
| 7 | 2013 | 19 | |
| 8 | 2020 | 13 | |
| 9 | 2020 | 10 | |
| 10 | 2015 | 5 | |
| 11 | 2022 | 2 |
About Melissa V. Ramirez
Melissa V. Ramirez is a scholar working on Molecular Biology, Infectious Diseases, Education, Media Technology and Biomedical Engineering, having authored 11 papers that have together received 542 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (3 papers), Innovative Teaching Methods (3 papers), Plant Gene Expression Analysis (2 papers), Biomedical and Engineering Education (2 papers), Experimental Learning in Engineering (2 papers), Problem and Project Based Learning (2 papers), Metalloenzymes and iron-sulfur proteins (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Biochemistry (43 citations), Plant Science (262 citations), Infectious Diseases (99 citations), Molecular Biology (316 citations) and Molecular Medicine (21 citations). Melissa V. Ramirez has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Richard F. Helm, A. Winkel, W. Keith Ray, Nathan D. Miller, Daniel R. Lewis, Gloria K. Muday, James E. Posey, David Sikes, Jonas M. Winchell and Glenn P. Morlock. Their work appears in journals such as Tuberculosis, Journal of Clinical Microbiology, Plant Molecular Biology, BMC Microbiology and Frontiers in Microbiology.
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.