Nemanja D. Marjanovic
- Aging top 5%
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 2
- Oncology top 2%
- Cancer Immunotherapy and Biomarkers 2
- Cancer Cells and Metastasis 2
- Molecular Biology top 5%
- Single-cell and spatial transcriptomics 2
- Mitochondrial Function and Pathology 2
- CRISPR and Genetic Engineering 2
- Biophysics top 2%
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- Immunotherapy and Immune Responses 2
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- Cancer, Stress, Anesthesia, and Immune Response 1
- Co-authors
- Christine L. ChafferRobert A. WeinbergAviv RegevCelina G. KleerRichard A. YoungTong LeeFerenc ReinhardtGeorge W. Bell
- Cited by
- AgingCancer ResearchOncology
- Partner nations
- United StatesFranceFinland
In The Last Decade
Nemanja D. Marjanovic
11 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Aging 80
- Cancer Research 590
- Oncology 1.0k
- Molecular Biology 2.1k
- Biophysics 143
Countries citing papers authored by Nemanja D. Marjanovic
This map shows the geographic impact of Nemanja D. Marjanovic'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 Nemanja D. Marjanovic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nemanja D. Marjanovic more than expected).
Fields of papers citing papers by Nemanja D. Marjanovic
This network shows the impact of papers produced by Nemanja D. Marjanovic. 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 Nemanja D. Marjanovic. The network helps show where Nemanja D. Marjanovic may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nemanja D. Marjanovic, 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 | 2025 | 0 | |
| 2 | 2022 | 1 | |
| 3 | 2020 | 62 | |
| 4 | 2018 | 2 | |
| 5 | Anatomically and Functionally Distinct Lung Mesenchymal Populations Marked by Lgr5 and Lgr6breakdown → | 2017 | 256 |
| 6 | 2017 | 31 | |
| 7 | 2016 | 269 | |
| 8 | Perturb-Seq: Dissecting Molecular Circuits with Scalable Single-Cell RNA Profiling of Pooled Genetic Screensbreakdown → | 2016 | 1027 |
| 9 | 2015 | 390 | |
| 10 | Asymmetric apportioning of aged mitochondria between daughter cells is required for stemness | 2015 | 1 |
| 11 | Poised Chromatin at the ZEB1 Promoter Enables Breast Cancer Cell Plasticity and Enhances Tumorigenicitybreakdown → | 2013 | 672 |
| 12 | 2012 | 290 |
About Nemanja D. Marjanovic
Nemanja D. Marjanovic is a scholar working on Aging, Oncology and Biophysics, having authored 12 papers that have together received 3.0k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (2 papers), Single-cell and spatial transcriptomics (2 papers), Mitochondrial Function and Pathology (2 papers), CRISPR and Genetic Engineering (2 papers), Immunotherapy and Immune Responses (2 papers), Cancer Genomics and Diagnostics (2 papers), Cancer Cells and Metastasis (2 papers) and Cancer, Stress, Anesthesia, and Immune Response (1 paper). The work is most often cited by research in Aging (80 citations), Cancer Research (590 citations) and Oncology (1.0k citations). Nemanja D. Marjanovic has collaborated with scholars based in United States, France and Finland. Frequent co-authors include Christine L. Chaffer, Robert A. Weinberg, Aviv Regev, Celina G. Kleer, Richard A. Young, Tong Lee, Ferenc Reinhardt, George W. Bell, Ana C. D’Alessio and Nir Friedman. Their work appears in journals such as Science, Cell and Nature Biotechnology.
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.