Yael Steuerman
Impact in
-
- interferon and immune responses
- Immune cells in cancer
- Immune Cell Function and Interaction
Papers in
-
- Single-cell and spatial transcriptomics 7
- Bioinformatics and Genomic Networks 2
- Genomics and Chromatin Dynamics 2
- RNA and protein synthesis mechanisms 2
-
- Immune cells in cancer 3
- interferon and immune responses 2
- Immune Cell Function and Interaction 2
- Co-authors
- Irit Gat‐Viks (15 shared papers)Amit Frishberg (5 shared papers)Ido Amit (5 shared papers)Ofir Cohn (4 shared papers)Eran Bacharach (4 shared papers)Eyal David (2 shared papers)Naama Peshes‐Yaloz (4 shared papers)Lior Mayo (2 shared papers)
- Journals
- Bioinformatics (2 papers)Cell Systems (2 papers)Journal of Medical Internet Research (1 paper)Nature Methods (1 paper)Genetics (1 paper)
- Partner nations
- IsraelUnited StatesSpain
In The Last Decade
Yael Steuerman
17 papers receiving 466 citations
Peers
Comparison fields: 5 of 82
- Immunology 138
- Health Informatics 8
- Cancer Research 62
- Molecular Biology 228
- Epidemiology 94
Countries citing papers authored by Yael Steuerman
This map shows the geographic impact of Yael Steuerman'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 Yael Steuerman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yael Steuerman more than expected).
Fields of papers citing papers by Yael Steuerman
This network shows the impact of papers produced by Yael Steuerman. 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 Yael Steuerman. The network helps show where Yael Steuerman may publish in the future.
Co-authors
The 25 scholars most cited alongside Yael Steuerman, 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 | 2018 | 146 | |
| 2 | 2014 | 88 | |
| 3 | 2019 | 81 | |
| 4 | 2016 | 38 | |
| 5 | 2020 | 32 | |
| 6 | 2020 | 22 | |
| 7 | 2022 | 13 | |
| 8 | 2023 | 12 | |
| 9 | 2016 | 10 | |
| 10 | 2015 | 8 | |
| 11 | 2016 | 6 | |
| 12 | 2019 | 5 | |
| 13 | 2019 | 4 | |
| 14 | 2023 | 3 | |
| 15 | 2013 | 1 | |
| 16 | 2021 | 1 | |
| 17 | Computational Methods for Immune Cell-Type Subsets | 2016 | 1 |
About Yael Steuerman
Yael Steuerman is a scholar working on Molecular Biology, Immunology, Infectious Diseases, Epidemiology and Dermatology, having authored 17 papers that have together received 471 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (7 papers), Immune cells in cancer (3 papers), Bioinformatics and Genomic Networks (2 papers), Genomics and Chromatin Dynamics (2 papers), interferon and immune responses (2 papers), Influenza Virus Research Studies (2 papers), Immune Cell Function and Interaction (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Immunology (138 citations), Health Informatics (8 citations), Cancer Research (62 citations), Molecular Biology (228 citations) and Epidemiology (94 citations). Yael Steuerman has collaborated with scholars based in Israel, United States and Spain. Frequent co-authors include Irit Gat‐Viks, Amit Frishberg, Ido Amit, Ofir Cohn, Eran Bacharach, Eyal David, Naama Peshes‐Yaloz, Lior Mayo, Michal Mandelboim and Merav Cohen. Their work appears in journals such as Bioinformatics, Cell Systems, Journal of Medical Internet Research, Nature Methods and Genetics.
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.