Nava Almog
Impact in
- Oncology top 2%
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
- Cancer-related Molecular Pathways
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism
- Cancer Genomics and Diagnostics
Papers in
-
- Cancer, Hypoxia, and Metabolism 7
- Cancer Genomics and Diagnostics 5
- Cancer-related molecular mechanisms research 4
- Oncology 21
- Cancer-related Molecular Pathways 10
- Cancer Cells and Metastasis 5
- Inflammatory Biomarkers in Disease Prognosis 4
- Co-authors
- Varda RotterJudah FolkmanElise R. BenderLynn HlatkyNathan FowlerMaria TsiperRavshan AtaullakhanovFelix Frenkel
- Journals
- Oncogene (5 papers)Blood (4 papers)Advances in experimental medicine and biology (2 papers)The FASEB Journal (2 papers)Biochimica et Biophysica Acta (BBA) - Reviews on Cancer (2 papers)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Nava Almog
34 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Oncology 1.5k
- Cancer Research 741
- Immunology 467
- Biotechnology 176
- Molecular Biology 1.4k
Countries citing papers authored by Nava Almog
This map shows the geographic impact of Nava Almog'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 Nava Almog with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nava Almog more than expected).
Fields of papers citing papers by Nava Almog
This network shows the impact of papers produced by Nava Almog. 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 Nava Almog. The network helps show where Nava Almog may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nava Almog, 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 | 2023 | 1 | |
| 2 | 2022 | 0 | |
| 3 | Conserved pan-cancer microenvironment subtypes predict response to immunotherapy Hit paper breakdown → | 2021 | 700 |
| 4 | 2018 | 1 | |
| 5 | 2017 | 6 | |
| 6 | 2014 | 21 | |
| 7 | 2012 | 53 | |
| 8 | 2012 | 27 | |
| 9 | 2012 | 5 | |
| 10 | 2009 | 192 | |
| 11 | 2006 | 308 | |
| 12 | 2001 | 15 | |
| 13 | 2001 | 6 | |
| 14 | 2000 | 27 | |
| 15 | 1999 | 18 | |
| 16 | 1998 | 118 | |
| 17 | 1997 | 24 | |
| 18 | 1997 | 63 | |
| 19 | 1997 | 138 | |
| 20 | 1995 | 6 |
About Nava Almog
Nava Almog is a scholar working on Cancer Research, Oncology, Biotechnology, Modeling and Simulation and Virology, having authored 36 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (10 papers), Cancer, Hypoxia, and Metabolism (7 papers), Angiogenesis and VEGF in Cancer (7 papers), Cancer Research and Treatments (6 papers), Cancer Cells and Metastasis (5 papers), Cancer Genomics and Diagnostics (5 papers), Inflammatory Biomarkers in Disease Prognosis (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Oncology (1.5k citations), Cancer Research (741 citations), Immunology (467 citations), Biotechnology (176 citations) and Molecular Biology (1.4k citations). Nava Almog has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Varda Rotter, Judah Folkman, Elise R. Bender, Lynn Hlatky, Nathan Fowler, Maria Tsiper, Ravshan Ataullakhanov, Felix Frenkel, Azamat Gafurov and Olga Gancharova. Their work appears in journals such as Oncogene, Blood, Advances in experimental medicine and biology, The FASEB Journal and Biochimica et Biophysica Acta (BBA) - Reviews on Cancer.
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.