Helena Pópulo
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Oncology top 5%
- Cutaneous Melanoma Detection and Management
Papers in
-
- Melanoma and MAPK Pathways 6
- PI3K/AKT/mTOR signaling in cancer 4
- Oncology 9
- Cutaneous Melanoma Detection and Management 5
- Co-authors
- Paula Soares (19 shared papers)José Manuel Lopes (15 shared papers)Beatriz Domingues (2 shared papers)Manuel Sobrinho‐Simões (5 shared papers)Valdemar Máximo (3 shared papers)João Vinagre (3 shared papers)Ana Sofia Rocha (2 shared papers)Silvia Campello (1 shared paper)
- Journals
- Expert Opinion on Therapeutic Targets (2 papers)PLoS ONE (2 papers)PeerJ (1 paper)Journal of Investigative Dermatology (1 paper)Biochemical Journal (1 paper)
- Partner nations
- PortugalUnited StatesItaly
In The Last Decade
Helena Pópulo
21 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Cancer Research 344
- Oncology 518
- Molecular Biology 1.2k
- Immunology 250
- Ophthalmology 99
Countries citing papers authored by Helena Pópulo
This map shows the geographic impact of Helena Pópulo'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 Helena Pópulo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Helena Pópulo more than expected).
Fields of papers citing papers by Helena Pópulo
This network shows the impact of papers produced by Helena Pópulo. 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 Helena Pópulo. The network helps show where Helena Pópulo may publish in the future.
Co-authors
The 25 scholars most cited alongside Helena Pópulo, 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 | The mTOR Signalling Pathway in Human Cancer Hit paper breakdown → | 2012 | 667 |
| 2 | Melanoma treatment in review Hit paper breakdown → | 2018 | 516 |
| 3 | 2015 | 158 | |
| 4 | 2014 | 102 | |
| 5 | 2014 | 91 | |
| 6 | 2012 | 71 | |
| 7 | 2010 | 65 | |
| 8 | 2012 | 38 | |
| 9 | 2002 | 38 | |
| 10 | 2010 | 37 | |
| 11 | 2015 | 24 | |
| 12 | 2017 | 21 | |
| 13 | 2019 | 21 | |
| 14 | 2013 | 12 | |
| 15 | 2021 | 6 | |
| 16 | 2011 | 4 | |
| 17 | 2018 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2017 | 2 | |
| 20 | 2021 | 2 |
About Helena Pópulo
Helena Pópulo is a scholar working on Molecular Biology, Oncology, Ophthalmology, Immunology and Epidemiology, having authored 21 papers that have together received 1.9k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (6 papers), Cutaneous Melanoma Detection and Management (5 papers), Ocular Oncology and Treatments (5 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Mast cells and histamine (3 papers), Nonmelanoma Skin Cancer Studies (3 papers), Immunotherapy and Immune Responses (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Cancer Research (344 citations), Oncology (518 citations), Molecular Biology (1.2k citations), Immunology (250 citations) and Ophthalmology (99 citations). Helena Pópulo has collaborated with scholars based in Portugal, United States and Italy. Frequent co-authors include Paula Soares, José Manuel Lopes, Beatriz Domingues, Manuel Sobrinho‐Simões, Valdemar Máximo, João Vinagre, Ana Sofia Rocha, Silvia Campello, Luca Scorrano and Elisabete Rios. Their work appears in journals such as Expert Opinion on Therapeutic Targets, PLoS ONE, PeerJ, Journal of Investigative Dermatology and Biochemical Journal.
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.