Chaim Shustik
Impact in
- Hematology top 0.2%
- Multiple Myeloma Research and Treatments
- Genetics top 0.5%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 37
- Multiple Myeloma Research and Treatments 32
- Oncology 33
- Cancer Treatment and Pharmacology 15
- Co-authors
- Philip R. Greipp (2 shared papers)Pieter Sonneveld (2 shared papers)Heinz Ludwig (2 shared papers)Ingemar Turesson (1 shared paper)Kazuyuki Shimizu (1 shared paper)John J. Crowley (1 shared paper)J. A. Child (1 shared paper)Brian G.M. Durie (1 shared paper)
- Journals
- Blood (16 papers)Journal of Clinical Oncology (10 papers)British Journal of Haematology (4 papers)Cancer (2 papers)Cellular Immunology (2 papers)
- Partner nations
- CanadaUnited StatesItaly
In The Last Decade
Chaim Shustik
73 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Hematology 2.5k
- Genetics 1.0k
- Oncology 1.9k
- Pathology and Forensic Medicine 1.1k
- Molecular Biology 2.0k
Countries citing papers authored by Chaim Shustik
This map shows the geographic impact of Chaim Shustik'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 Chaim Shustik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaim Shustik more than expected).
Fields of papers citing papers by Chaim Shustik
This network shows the impact of papers produced by Chaim Shustik. 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 Chaim Shustik. The network helps show where Chaim Shustik may publish in the future.
Co-authors
The 25 scholars most cited alongside Chaim Shustik, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | International Staging System for Multiple Myeloma Hit paper breakdown → | 2005 | 1943 |
| 2 | 2011 | 255 | |
| 3 | 2018 | 233 | |
| 4 | 1990 | 115 | |
| 5 | 1997 | 113 | |
| 6 | 2006 | 102 | |
| 7 | 2010 | 94 | |
| 8 | 1999 | 84 | |
| 9 | 1995 | 76 | |
| 10 | 1988 | 72 | |
| 11 | 1997 | 70 | |
| 12 | 1986 | 69 | |
| 13 | 1995 | 65 | |
| 14 | 2021 | 64 | |
| 15 | 1996 | 60 | |
| 16 | 2006 | 58 | |
| 17 | 1976 | 57 | |
| 18 | 1996 | 55 | |
| 19 | 2004 | 51 | |
| 20 | 2014 | 50 |
About Chaim Shustik
Chaim Shustik is a scholar working on Hematology, Oncology, Molecular Biology, Genetics and Pathology and Forensic Medicine, having authored 74 papers that have together received 4.5k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (32 papers), Chronic Lymphocytic Leukemia Research (17 papers), Lymphoma Diagnosis and Treatment (17 papers), Cancer Treatment and Pharmacology (15 papers), Protein Degradation and Inhibitors (7 papers), Cancer therapeutics and mechanisms (7 papers), Immune Cell Function and Interaction (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Hematology (2.5k citations), Genetics (1.0k citations), Oncology (1.9k citations), Pathology and Forensic Medicine (1.1k citations) and Molecular Biology (2.0k citations). Chaim Shustik has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include Philip R. Greipp, Pieter Sonneveld, Heinz Ludwig, Ingemar Turesson, Kazuyuki Shimizu, John J. Crowley, J. A. Child, Brian G.M. Durie, Joan Bladé and Gareth J. Morgan. Their work appears in journals such as Blood, Journal of Clinical Oncology, British Journal of Haematology, Cancer and Cellular Immunology.
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.