Jack Khouri
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Oncology top 10%
- CAR-T cell therapy research
- Peptidase Inhibition and Analysis
Papers in
- Hematology 62
- Multiple Myeloma Research and Treatments 55
- Chronic Myeloid Leukemia Treatments 7
- Oncology 50
- CAR-T cell therapy research 29
- Peptidase Inhibition and Analysis 9
- Cancer Treatment and Pharmacology 7
- Co-authors
- Faiz Anwer (60 shared papers)Jason Valent (35 shared papers)Danai Dima (37 shared papers)Christy Samaras (28 shared papers)Beth Faiman (20 shared papers)Shahzad Raza (29 shared papers)Navneet S. Majhail (10 shared papers)Hamza Hashmi (16 shared papers)
- Journals
- Blood (29 papers)Transplantation and Cellular Therapy (10 papers)Journal of Clinical Oncology (5 papers)British Journal of Haematology (4 papers)Cancers (3 papers)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Jack Khouri
76 papers receiving 505 citations
Peers
Comparison fields: 5 of 63
- Hematology 265
- Oncology 272
- Genetics 74
- Internal Medicine 22
- Microbiology 3
Countries citing papers authored by Jack Khouri
This map shows the geographic impact of Jack Khouri'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 Jack Khouri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack Khouri more than expected).
Fields of papers citing papers by Jack Khouri
This network shows the impact of papers produced by Jack Khouri. 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 Jack Khouri. The network helps show where Jack Khouri may publish in the future.
Co-authors
The 25 scholars most cited alongside Jack Khouri, 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 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 40 | |
| 2 | 2018 | 39 | |
| 3 | 2022 | 37 | |
| 4 | 2023 | 26 | |
| 5 | 2021 | 25 | |
| 6 | 2021 | 22 | |
| 7 | 2023 | 19 | |
| 8 | 2023 | 18 | |
| 9 | 2022 | 17 | |
| 10 | 2023 | 16 | |
| 11 | 2023 | 14 | |
| 12 | 2021 | 13 | |
| 13 | 2019 | 12 | |
| 14 | 2024 | 11 | |
| 15 | 2020 | 11 | |
| 16 | 2024 | 11 | |
| 17 | 2024 | 10 | |
| 18 | 2022 | 10 | |
| 19 | 2017 | 9 | |
| 20 | 2023 | 7 |
About Jack Khouri
Jack Khouri is a scholar working on Hematology, Oncology, Molecular Biology, Genetics and Pathology and Forensic Medicine, having authored 93 papers that have together received 511 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (55 papers), CAR-T cell therapy research (29 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (16 papers), Protein Degradation and Inhibitors (13 papers), Chronic Lymphocytic Leukemia Research (11 papers), Peptidase Inhibition and Analysis (9 papers), Cancer Treatment and Pharmacology (7 papers) and Chronic Myeloid Leukemia Treatments (7 papers). The work is most often cited by research in Hematology (265 citations), Oncology (272 citations), Genetics (74 citations), Internal Medicine (22 citations) and Microbiology (3 citations). Jack Khouri has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Faiz Anwer, Jason Valent, Danai Dima, Christy Samaras, Beth Faiman, Shahzad Raza, Navneet S. Majhail, Hamza Hashmi, Megan O. Nakashima and Sandy W. Wong. Their work appears in journals such as Blood, Transplantation and Cellular Therapy, Journal of Clinical Oncology, British Journal of Haematology and Cancers.
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.