Ana Marcu
Impact in
- Endocrinology top 0.5%
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
Papers in
- Immunology 12
- Immunotherapy and Immune Responses 11
- Co-authors
- David S. WishartDavid ArndtYongjie LiangJason R. GrantAllison PonTanvir SajedAdam MaciejewskiStefan Stevanović
- Journals
- Nucleic Acids Research (6 papers)Frontiers in Immunology (2 papers)Journal of Visualized Experiments (2 papers)iScience (1 paper)European Journal of Medicinal Chemistry (1 paper)
- Partner nations
- GermanyCanadaSwitzerland
In The Last Decade
Ana Marcu
24 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Endocrinology 574
- Molecular Medicine 430
- Microbiology 330
- Ecology 1.3k
- Molecular Biology 2.7k
Countries citing papers authored by Ana Marcu
This map shows the geographic impact of Ana Marcu'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 Ana Marcu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ana Marcu more than expected).
Fields of papers citing papers by Ana Marcu
This network shows the impact of papers produced by Ana Marcu. 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 Ana Marcu. The network helps show where Ana Marcu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ana Marcu, 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 | 2022 | 25 | |
| 2 | 2021 | 11 | |
| 3 | 2021 | 23 | |
| 4 | 2020 | 25 | |
| 5 | 2020 | 13 | |
| 6 | 2020 | 8 | |
| 7 | 2019 | 15 | |
| 8 | 2019 | 2 | |
| 9 | 2019 | 81 | |
| 10 | 2018 | 29 | |
| 11 | 2018 | 37 | |
| 12 | 2017 | 6 | |
| 13 | 2017 | 1 | |
| 14 | 2017 | 38 | |
| 15 | Heatmapper: web-enabled heat mapping for all Hit paper breakdown → | 2016 | 1697 |
| 16 | 2016 | 122 | |
| 17 | PHASTER: a better, faster version of the PHAST phage search tool Hit paper breakdown → | 2016 | 2553 |
| 18 | 2015 | 109 | |
| 19 | 2015 | 20 | |
| 20 | 2015 | 63 |
About Ana Marcu
Ana Marcu is a scholar working on Immunology, Microbiology, Molecular Biology, Oncology and Virology, having authored 24 papers that have together received 5.1k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (11 papers), vaccines and immunoinformatics approaches (10 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Bioinformatics and Genomic Networks (4 papers), CAR-T cell therapy research (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Peptidase Inhibition and Analysis (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Endocrinology (574 citations), Molecular Medicine (430 citations), Microbiology (330 citations), Ecology (1.3k citations) and Molecular Biology (2.7k citations). Ana Marcu has collaborated with scholars based in Germany, Canada and Switzerland. Frequent co-authors include David S. Wishart, David Arndt, Yongjie Liang, Jason R. Grant, Allison Pon, Tanvir Sajed, Adam Maciejewski, Stefan Stevanović, An Chi Guo and Lena Katharina Freudenmann. Their work appears in journals such as Nucleic Acids Research, Frontiers in Immunology, Journal of Visualized Experiments, iScience and European Journal of Medicinal Chemistry.
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.