Joth Jacobson
Impact in
- Hematology top 0.5%
- Multiple Myeloma Research and Treatments
- Hematopoietic Stem Cell Transplantation
- Internal Medicine top 5%
Papers in
- Hematology 18
- Multiple Myeloma Research and Treatments 17
- Oncology 8
- Cancer Treatment and Pharmacology 5
- Co-authors
- Bart Barlogie (16 shared papers)Guido Tricot (11 shared papers)John Crowley (9 shared papers)Maurizio Zangari (9 shared papers)Elias Anaissie (5 shared papers)Athanasios Fassas (8 shared papers)John D. Shaughnessy (1 shared paper)David H. Vesole (2 shared papers)
- Journals
- Blood (6 papers)British Journal of Haematology (4 papers)Investigational New Drugs (4 papers)Seminars in Hematology (2 papers)Cancer (2 papers)
- Partner nations
- United StatesGermanyAustria
In The Last Decade
Joth Jacobson
35 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 89
- Hematology 1.6k
- Internal Medicine 113
- Genetics 345
- Oncology 702
- Molecular Biology 969
Countries citing papers authored by Joth Jacobson
This map shows the geographic impact of Joth Jacobson'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 Joth Jacobson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joth Jacobson more than expected).
Fields of papers citing papers by Joth Jacobson
This network shows the impact of papers produced by Joth Jacobson. 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 Joth Jacobson. The network helps show where Joth Jacobson may publish in the future.
Co-authors
The 25 scholars most cited alongside Joth Jacobson, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 432 | |
| 2 | 2003 | 376 | |
| 3 | 2004 | 170 | |
| 4 | 2007 | 137 | |
| 5 | 2003 | 136 | |
| 6 | 2002 | 118 | |
| 7 | 2001 | 117 | |
| 8 | 2003 | 104 | |
| 9 | 2004 | 98 | |
| 10 | 2003 | 91 | |
| 11 | 2003 | 89 | |
| 12 | 2003 | 87 | |
| 13 | 2003 | 72 | |
| 14 | 2003 | 70 | |
| 15 | 2003 | 53 | |
| 16 | 1999 | 38 | |
| 17 | 2006 | 36 | |
| 18 | 2008 | 28 | |
| 19 | 2003 | 28 | |
| 20 | 2002 | 26 |
About Joth Jacobson
Joth Jacobson is a scholar working on Hematology, Oncology, Molecular Biology, Surgery and Pulmonary and Respiratory Medicine, having authored 35 papers that have together received 2.5k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (17 papers), Cancer Treatment and Pharmacology (5 papers), Cardiovascular and Diving-Related Complications (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Ubiquitin and proteasome pathways (2 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Heparin-Induced Thrombocytopenia and Thrombosis (2 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Hematology (1.6k citations), Internal Medicine (113 citations), Genetics (345 citations), Oncology (702 citations) and Molecular Biology (969 citations). Joth Jacobson has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Bart Barlogie, Guido Tricot, John Crowley, Maurizio Zangari, Elias Anaissie, Athanasios Fassas, John D. Shaughnessy, David H. Vesole, Sundar Jagannath and Brian G.M. Durie. Their work appears in journals such as Blood, British Journal of Haematology, Investigational New Drugs, Seminars in Hematology and Cancer.
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.