Joseph Michaeli
Impact in
- Hematology top 1%
- Multiple Myeloma Research and Treatments
- Oncology top 5%
- Bone health and treatments
- Peptidase Inhibition and Analysis
Papers in
- Hematology 24
- Multiple Myeloma Research and Treatments 15
- Acute Myeloid Leukemia Research 4
- Genetics 9
- Chronic Lymphocytic Leukemia Research 4
- Co-authors
- Roger PearseBrian WongNeville ColmanDeng F. LiauEmilia Mia SordilloYongwon ChoiShmuel YaccobyJoshua Epstein
- Journals
- Blood (8 papers)Cancer Investigation (2 papers)Proceedings of the National Academy of Sciences (2 papers)British Journal of Haematology (1 paper)The Prostate (1 paper)
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Joseph Michaeli
55 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 89
- Hematology 722
- Oncology 694
- Genetics 248
- Molecular Biology 912
- Infectious Diseases 239
Countries citing papers authored by Joseph Michaeli
This map shows the geographic impact of Joseph Michaeli'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 Joseph Michaeli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph Michaeli more than expected).
Fields of papers citing papers by Joseph Michaeli
This network shows the impact of papers produced by Joseph Michaeli. 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 Joseph Michaeli. The network helps show where Joseph Michaeli may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Joseph Michaeli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 1 | |
| 2 | 2004 | 13 | |
| 3 | 2002 | 55 | |
| 4 | 2002 | 2 | |
| 5 | 2002 | 1 | |
| 6 | 2001 | 54 | |
| 7 | 1998 | 10 | |
| 8 | 1997 | 4 | |
| 9 | 1995 | 35 | |
| 10 | 1993 | 2 | |
| 11 | 1993 | 42 | |
| 12 | 1993 | 5 | |
| 13 | 1992 | 67 | |
| 14 | 1989 | 1 | |
| 15 | 1989 | 6 | |
| 16 | 1988 | 63 | |
| 17 | 1987 | 2 | |
| 18 | 1987 | 9 | |
| 19 | PREVENTION OF GRAFT-VERSUS-HOST DISEASE IN ALLOGENEIC BONE-MARROW TRANSPLANTATION FOR LEUKEMIA BY T-CELL DEPLETION INVITRO PRIOR TO TRANSPLANTATION | 1985 | 21 |
| 20 | Hypouricemia in the hypereosinophilic syndrome. Response to treatment. | 1983 | 3 |
About Joseph Michaeli
Joseph Michaeli is a scholar working on Hematology, Genetics, Nephrology, Oncology and Family Practice, having authored 55 papers that have together received 2.0k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (15 papers), Chronic Lymphocytic Leukemia Research (4 papers), Peptidase Inhibition and Analysis (4 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (4 papers), Acute Myeloid Leukemia Research (4 papers), Protein Degradation and Inhibitors (4 papers), Acute Lymphoblastic Leukemia research (4 papers) and Renal Diseases and Glomerulopathies (3 papers). The work is most often cited by research in Hematology (722 citations), Oncology (694 citations), Genetics (248 citations), Molecular Biology (912 citations) and Infectious Diseases (239 citations). Joseph Michaeli has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Roger Pearse, Brian Wong, Neville Colman, Deng F. Liau, Emilia Mia Sordillo, Yongwon Choi, Shmuel Yaccoby, Joshua Epstein, P Mogle and William R. Fair. Their work appears in journals such as Blood, Cancer Investigation, Proceedings of the National Academy of Sciences, British Journal of Haematology and The Prostate.
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.