Eli Muchtar
Impact in
- Hematology top 0.5%
- Multiple Myeloma Research and Treatments
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 106
- Multiple Myeloma Research and Treatments 105
- Genetics 42
- Chronic Lymphocytic Leukemia Research 40
- Virus-based gene therapy research 2
- Co-authors
- Morie Abraham Gertz (111 shared papers)Angela A. Dispenzieri (103 shared papers)Hila Magen (12 shared papers)Mical Paul (5 shared papers)Leonard Leibovici (3 shared papers)Galia Kariv (3 shared papers)Francis K. Buadi (80 shared papers)Vered Shani (2 shared papers)
- Journals
- American Journal of Hematology (36 papers)Blood Cancer Journal (28 papers)Blood (28 papers)Leukemia (24 papers)Bone Marrow Transplantation (14 papers)
- Partner nations
- United StatesIsraelSaudi Arabia
In The Last Decade
Eli Muchtar
258 papers receiving 5.8k citations
Eli Muchtar's Hit Papers
Peers
Comparison fields: 5 of 94
- Hematology 1.6k
- Genetics 714
- Applied Microbiology and Biotechnology 191
- Molecular Biology 2.3k
- Clinical Biochemistry 94
Countries citing papers authored by Eli Muchtar
This map shows the geographic impact of Eli Muchtar'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 Eli Muchtar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eli Muchtar more than expected).
Fields of papers citing papers by Eli Muchtar
This network shows the impact of papers produced by Eli Muchtar. 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 Eli Muchtar. The network helps show where Eli Muchtar may publish in the future.
Co-authors
The 25 scholars most cited alongside Eli Muchtar, 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 286 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Systematic Review and Meta-Analysis of the Efficacy of Appropriate Empiric Antibiotic Therapy for Sepsis Hit paper breakdown → | 2010 | 576 |
| 2 | 2017 | 271 | |
| 3 | 2017 | 231 | |
| 4 | 2020 | 197 | |
| 5 | 2016 | 127 | |
| 6 | 2019 | 109 | |
| 7 | 2016 | 105 | |
| 8 | 2019 | 105 | |
| 9 | 2018 | 94 | |
| 10 | 2018 | 89 | |
| 11 | 2021 | 80 | |
| 12 | 2018 | 77 | |
| 13 | 2018 | 75 | |
| 14 | 2017 | 60 | |
| 15 | 2021 | 59 | |
| 16 | 2022 | 59 | |
| 17 | 2016 | 57 | |
| 18 | 2016 | 57 | |
| 19 | 2009 | 55 | |
| 20 | 2019 | 55 |
About Eli Muchtar
Eli Muchtar is a scholar working on Hematology, Genetics, Molecular Biology, Epidemiology and Internal Medicine, having authored 286 papers that have together received 5.9k indexed citations. Recurring topics across this work include Amyloidosis: Diagnosis, Treatment, Outcomes (125 papers), Multiple Myeloma Research and Treatments (105 papers), Chronic Lymphocytic Leukemia Research (40 papers), Herpesvirus Infections and Treatments (3 papers), Atrial Fibrillation Management and Outcomes (2 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Drug-Induced Ocular Toxicity (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Hematology (1.6k citations), Genetics (714 citations), Applied Microbiology and Biotechnology (191 citations), Molecular Biology (2.3k citations) and Clinical Biochemistry (94 citations). Eli Muchtar has collaborated with scholars based in United States, Israel and Saudi Arabia. Frequent co-authors include Morie Abraham Gertz, Angela A. Dispenzieri, Hila Magen, Mical Paul, Leonard Leibovici, Galia Kariv, Francis K. Buadi, Vered Shani, Shaji Kunnathu Kumar and Eyal Robenshtok. Their work appears in journals such as American Journal of Hematology, Blood Cancer Journal, Blood, Leukemia and Bone Marrow Transplantation.
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.