Ido Somekh
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
-
- Immunodeficiency and Autoimmune Disorders
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
- Immunology 12
- Immunodeficiency and Autoimmune Disorders 12
- Immune Cell Function and Interaction 3
- Genetics 6
- Genomics and Rare Diseases 2
- Co-authors
- Eli Somekh (9 shared papers)Raz Somech (12 shared papers)Eric A. F. Simões (6 shared papers)Massimo Pettoello‐Mantovani (3 shared papers)Atar Lev (9 shared papers)Lital Keinan‐Boker (3 shared papers)Ekrem Ünal (6 shared papers)Amos J. Simon (8 shared papers)
- Journals
- Journal of Pediatric Hematology/Oncology (2 papers)The Journal of Pediatrics (2 papers)JAMA Network Open (2 papers)Immunologic Research (2 papers)The Pediatric Infectious Disease Journal (2 papers)
- Partner nations
- IsraelGermanyUnited States
In The Last Decade
Ido Somekh
25 papers receiving 299 citations
Peers
Comparison fields: 5 of 68
- Modeling and Simulation 29
- Immunology 114
- Sensory Systems 15
- Infectious Diseases 51
- Genetics 18
Countries citing papers authored by Ido Somekh
This map shows the geographic impact of Ido Somekh'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 Ido Somekh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ido Somekh more than expected).
Fields of papers citing papers by Ido Somekh
This network shows the impact of papers produced by Ido Somekh. 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 Ido Somekh. The network helps show where Ido Somekh may publish in the future.
Co-authors
The 25 scholars most cited alongside Ido Somekh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 39 | |
| 2 | 2020 | 34 | |
| 3 | 2019 | 32 | |
| 4 | 2020 | 28 | |
| 5 | 2020 | 25 | |
| 6 | 2021 | 18 | |
| 7 | 2021 | 16 | |
| 8 | 2021 | 15 | |
| 9 | 2022 | 14 | |
| 10 | 2019 | 13 | |
| 11 | 2019 | 10 | |
| 12 | 2021 | 9 | |
| 13 | 2018 | 8 | |
| 14 | 2018 | 7 | |
| 15 | 2021 | 7 | |
| 16 | 2021 | 6 | |
| 17 | 2023 | 6 | |
| 18 | 2024 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2020 | 3 |
About Ido Somekh
Ido Somekh is a scholar working on Immunology, Genetics, Infectious Diseases, Modeling and Simulation and Pulmonary and Respiratory Medicine, having authored 27 papers that have together received 302 indexed citations. Recurring topics across this work include Immunodeficiency and Autoimmune Disorders (12 papers), COVID-19 epidemiological studies (4 papers), Immune Cell Function and Interaction (3 papers), COVID-19 Clinical Research Studies (3 papers), COVID-19 and Mental Health (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Genomics and Rare Diseases (2 papers) and Childhood Cancer Survivors' Quality of Life (2 papers). The work is most often cited by research in Modeling and Simulation (29 citations), Immunology (114 citations), Sensory Systems (15 citations), Infectious Diseases (51 citations) and Genetics (18 citations). Ido Somekh has collaborated with scholars based in Israel, Germany and United States. Frequent co-authors include Eli Somekh, Raz Somech, Eric A. F. Simões, Massimo Pettoello‐Mantovani, Atar Lev, Lital Keinan‐Boker, Ekrem Ünal, Amos J. Simon, Haim Bibi and Tamy Shohat. Their work appears in journals such as Journal of Pediatric Hematology/Oncology, The Journal of Pediatrics, JAMA Network Open, Immunologic Research and The Pediatric Infectious Disease 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.