Daniela Necula
Impact in
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- Molecular Biology top 10%
- Gut microbiota and health
Papers in
-
- Breast Cancer Treatment Studies 3
- Cancer Genomics and Diagnostics 1
- Oncology 3
- Cancer Immunotherapy and Biomarkers 3
- Co-authors
- Iris Barshack (4 shared papers)Einav Nili Gal‐Yam (3 shared papers)Maya Dadiani (2 shared papers)Nora Balint‐Lahat (2 shared papers)Bella Kaufman (2 shared papers)Efrat G. Saar (1 shared paper)Moran Gadot (1 shared paper)Eran Eyal (1 shared paper)
- Journals
- Nature Communications (1 paper)OncoImmunology (1 paper)International Journal of Gynecology & Obstetrics (1 paper)Cancer Immunology Immunotherapy (1 paper)Science (1 paper)
- Partner nations
- IsraelGermanyUnited States
In The Last Decade
Daniela Necula
8 papers receiving 1.4k citations
Daniela Necula's Hit Papers
Peers
Comparison fields: 5 of 69
- Oncology 646
- Molecular Biology 828
- Biotechnology 57
- Cancer Research 57
- Immunology 55
Countries citing papers authored by Daniela Necula
This map shows the geographic impact of Daniela Necula'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 Daniela Necula with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Necula more than expected).
Fields of papers citing papers by Daniela Necula
This network shows the impact of papers produced by Daniela Necula. 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 Daniela Necula. The network helps show where Daniela Necula may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Necula, 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 | Fecal microbiota transplant promotes response in immunotherapy-refractory melanoma patients Hit paper breakdown → | 2020 | 1333 |
| 2 | 2020 | 84 | |
| 3 | 2018 | 25 | |
| 4 | 2020 | 11 | |
| 5 | 2023 | 7 | |
| 6 | 2025 | 4 | |
| 7 | 2021 | 3 | |
| 8 | 2020 | 2 |
About Daniela Necula
Daniela Necula is a scholar working on Cancer Research, Oncology, Obstetrics and Gynecology, Spectroscopy and Immunology, having authored 8 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (3 papers), Breast Cancer Treatment Studies (3 papers), Advanced Breast Cancer Therapies (1 paper), Estrogen and related hormone effects (1 paper), Advanced Biosensing Techniques and Applications (1 paper), Cancer Genomics and Diagnostics (1 paper), Immunotherapy and Immune Responses (1 paper) and Uterine Myomas and Treatments (1 paper). The work is most often cited by research in Oncology (646 citations), Molecular Biology (828 citations), Biotechnology (57 citations), Cancer Research (57 citations) and Immunology (55 citations). Daniela Necula has collaborated with scholars based in Israel, Germany and United States. Frequent co-authors include Iris Barshack, Einav Nili Gal‐Yam, Maya Dadiani, Nora Balint‐Lahat, Bella Kaufman, Efrat G. Saar, Moran Gadot, Eran Eyal, Karen Cesarkas and Nitzan Kol. Their work appears in journals such as Nature Communications, OncoImmunology, International Journal of Gynecology & Obstetrics, Cancer Immunology Immunotherapy and Science.
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.