Elad Jacoby
Impact in
- Oncology top 1%
- CAR-T cell therapy research
- Immunology top 5%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
- Oncology 57
- CAR-T cell therapy research 54
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- Viral Infectious Diseases and Gene Expression in Insects 10
- Co-authors
- Michal J. Besser (20 shared papers)Terry J. Fry (11 shared papers)Yinmeng Yang (7 shared papers)Jacob Schachter (10 shared papers)Amos Toren (26 shared papers)Christopher D. Chien (7 shared papers)Amilia Meir (6 shared papers)Abraham Avigdor (19 shared papers)
- Journals
- Blood (11 papers)Bone Marrow Transplantation (7 papers)Transplantation and Cellular Therapy (5 papers)Pediatric Blood & Cancer (3 papers)Frontiers in Oncology (2 papers)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Elad Jacoby
70 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 74
- Oncology 1.6k
- Immunology 493
- Hematology 221
- Cancer Research 236
- Genetics 453
Countries citing papers authored by Elad Jacoby
This map shows the geographic impact of Elad Jacoby'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 Elad Jacoby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elad Jacoby more than expected).
Fields of papers citing papers by Elad Jacoby
This network shows the impact of papers produced by Elad Jacoby. 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 Elad Jacoby. The network helps show where Elad Jacoby may publish in the future.
Co-authors
The 25 scholars most cited alongside Elad Jacoby, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 309 | |
| 2 | 2019 | 267 | |
| 3 | 2020 | 178 | |
| 4 | 2013 | 168 | |
| 5 | 2017 | 157 | |
| 6 | 2013 | 144 | |
| 7 | 2013 | 96 | |
| 8 | 2018 | 93 | |
| 9 | 2015 | 84 | |
| 10 | 2015 | 80 | |
| 11 | 2019 | 58 | |
| 12 | 2021 | 48 | |
| 13 | 2020 | 39 | |
| 14 | 2022 | 35 | |
| 15 | 2021 | 35 | |
| 16 | 2019 | 33 | |
| 17 | 2015 | 31 | |
| 18 | 2014 | 28 | |
| 19 | 2022 | 27 | |
| 20 | 2020 | 26 |
About Elad Jacoby
Elad Jacoby is a scholar working on Oncology, Molecular Biology, Electrical and Electronic Engineering, Immunology and Hematology, having authored 79 papers that have together received 2.3k indexed citations. Recurring topics across this work include CAR-T cell therapy research (54 papers), Viral Infectious Diseases and Gene Expression in Insects (10 papers), Immune Cell Function and Interaction (9 papers), Acute Lymphoblastic Leukemia research (9 papers), Virus-based gene therapy research (9 papers), Silicon Carbide Semiconductor Technologies (8 papers), Hematopoietic Stem Cell Transplantation (7 papers) and Integrated Circuits and Semiconductor Failure Analysis (7 papers). The work is most often cited by research in Oncology (1.6k citations), Immunology (493 citations), Hematology (221 citations), Cancer Research (236 citations) and Genetics (453 citations). Elad Jacoby has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Michal J. Besser, Terry J. Fry, Yinmeng Yang, Jacob Schachter, Amos Toren, Christopher D. Chien, Amilia Meir, Abraham Avigdor, Arnon Nagler and Haiying Qin. Their work appears in journals such as Blood, Bone Marrow Transplantation, Transplantation and Cellular Therapy, Pediatric Blood & Cancer and Frontiers in Oncology.
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.