Elina Starosvetsky
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Immunology top 10%
- Reproductive System and Pregnancy
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
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- Inflammation biomarkers and pathways 2
- T-cell and B-cell Immunology 2
- Reproductive System and Pregnancy 2
- Immune Cell Function and Interaction 2
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- Single-cell and spatial transcriptomics 3
- Bioinformatics and Genomic Networks 3
- Co-authors
- Shai S. Shen-Orr (13 shared papers)Renaud Gaujoux (5 shared papers)Purvesh Khatri (4 shared papers)Ksenya Kveler (2 shared papers)Tania Dubovik (4 shared papers)Cornelia L. Dekker (2 shared papers)Mark M. Davis (2 shared papers)Ayelet Alpert (4 shared papers)
- Journals
- Nature Medicine (2 papers)Nature Methods (1 paper)Cell Reports (1 paper)Nature Biotechnology (1 paper)The EMBO Journal (1 paper)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Elina Starosvetsky
16 papers receiving 942 citations
Peers
Comparison fields: 5 of 101
- Biological Psychiatry 59
- Immunology 365
- Neurology 89
- Behavioral Neuroscience 37
- Aging 19
Countries citing papers authored by Elina Starosvetsky
This map shows the geographic impact of Elina Starosvetsky'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 Elina Starosvetsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elina Starosvetsky more than expected).
Fields of papers citing papers by Elina Starosvetsky
This network shows the impact of papers produced by Elina Starosvetsky. 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 Elina Starosvetsky. The network helps show where Elina Starosvetsky may publish in the future.
Co-authors
The 25 scholars most cited alongside Elina Starosvetsky, 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 | 2019 | 304 | |
| 2 | 2016 | 164 | |
| 3 | 2018 | 142 | |
| 4 | 2013 | 95 | |
| 5 | 2018 | 49 | |
| 6 | 2018 | 47 | |
| 7 | 2018 | 46 | |
| 8 | 2019 | 35 | |
| 9 | 2019 | 27 | |
| 10 | 2011 | 22 | |
| 11 | 2024 | 7 | |
| 12 | 2023 | 5 | |
| 13 | 2021 | 3 | |
| 14 | 2018 | 2 | |
| 15 | Autologous Hematological Stem Cell Transplantation for Systemic Sclerosis in Israel. | 2020 | 2 |
| 16 | 2007 | 2 |
About Elina Starosvetsky
Elina Starosvetsky is a scholar working on Immunology, Molecular Biology, Genetics, Computational Theory and Mathematics and Hematology, having authored 16 papers that have together received 952 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), Bioinformatics and Genomic Networks (3 papers), Inflammation biomarkers and pathways (2 papers), T-cell and B-cell Immunology (2 papers), Computational Drug Discovery Methods (2 papers), Reproductive System and Pregnancy (2 papers), Immune Cell Function and Interaction (2 papers) and Mesoporous Materials and Catalysis (1 paper). The work is most often cited by research in Biological Psychiatry (59 citations), Immunology (365 citations), Neurology (89 citations), Behavioral Neuroscience (37 citations) and Aging (19 citations). Elina Starosvetsky has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Shai S. Shen-Orr, Renaud Gaujoux, Purvesh Khatri, Ksenya Kveler, Tania Dubovik, Cornelia L. Dekker, Mark M. Davis, Ayelet Alpert, Xuhuai Ji and Yishai Pickman. Their work appears in journals such as Nature Medicine, Nature Methods, Cell Reports, Nature Biotechnology and The EMBO 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.