Maja Jankovic
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Immunology top 10%
- Immune Cell Function and Interaction
- Immune cells in cancer
- T-cell and B-cell Immunology
Papers in
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- CRISPR and Genetic Engineering 3
- Single-cell and spatial transcriptomics 2
- Advanced biosensing and bioanalysis techniques 2
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- Acute Myeloid Leukemia Research 2
- Hematopoietic Stem Cell Transplantation 2
- Co-authors
- Allon M. Klein (2 shared papers)Fernando D. Camargo (2 shared papers)Alejo Rodriguez-Fraticelli (2 shared papers)Caleb Weinreb (2 shared papers)Riccardo Panero (1 shared paper)Samuel L. Wolock (1 shared paper)Sachin Patel (1 shared paper)Raffaele Calogero (1 shared paper)
- Journals
- Nature (2 papers)Blood Advances (2 papers)ACS Chemical Biology (1 paper)Molecular Cancer Therapeutics (1 paper)Future Science OA (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Maja Jankovic
8 papers receiving 593 citations
Maja Jankovic's Hit Papers
Peers
Comparison fields: 5 of 61
- Hematology 289
- Immunology 210
- Genetics 69
- Cancer Research 74
- Molecular Biology 341
Countries citing papers authored by Maja Jankovic
This map shows the geographic impact of Maja Jankovic'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 Maja Jankovic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maja Jankovic more than expected).
Fields of papers citing papers by Maja Jankovic
This network shows the impact of papers produced by Maja Jankovic. 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 Maja Jankovic. The network helps show where Maja Jankovic may publish in the future.
Co-authors
The 25 scholars most cited alongside Maja Jankovic, 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 | Clonal analysis of lineage fate in native haematopoiesis Hit paper breakdown → | 2018 | 404 |
| 2 | 2020 | 152 | |
| 3 | 2015 | 15 | |
| 4 | 2022 | 12 | |
| 5 | 2021 | 5 | |
| 6 | 2020 | 4 | |
| 7 | 2020 | 4 | |
| 8 | 2024 | 1 |
About Maja Jankovic
Maja Jankovic is a scholar working on Molecular Biology, Hematology, Immunology, Surgery and Dermatology, having authored 8 papers that have together received 597 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (3 papers), Acute Myeloid Leukemia Research (2 papers), T-cell and B-cell Immunology (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Single-cell and spatial transcriptomics (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Facial Rejuvenation and Surgery Techniques (1 paper) and Dermatologic Treatments and Research (1 paper). The work is most often cited by research in Hematology (289 citations), Immunology (210 citations), Genetics (69 citations), Cancer Research (74 citations) and Molecular Biology (341 citations). Maja Jankovic has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Allon M. Klein, Fernando D. Camargo, Alejo Rodriguez-Fraticelli, Caleb Weinreb, Riccardo Panero, Samuel L. Wolock, Sachin Patel, Raffaele Calogero, Jianlong Sun and Marc Usart. Their work appears in journals such as Nature, Blood Advances, ACS Chemical Biology, Molecular Cancer Therapeutics and Future Science OA.
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.