Jeff Haessler
Impact in
- Hematology top 1%
- Multiple Myeloma Research and Treatments
- Oncology top 5%
- Peptidase Inhibition and Analysis
- Cancer Treatment and Pharmacology
Papers in
- Hematology 13
- Multiple Myeloma Research and Treatments 13
- Acute Myeloid Leukemia Research 2
-
- Protein Degradation and Inhibitors 5
- Cancer therapeutics and mechanisms 3
- PI3K/AKT/mTOR signaling in cancer 3
- Amyloidosis: Diagnosis, Treatment, Outcomes 3
- Co-authors
- Bart Barlogie (12 shared papers)John Crowley (11 shared papers)John D. Shaughnessy (8 shared papers)Elias Anaissie (9 shared papers)Frits van Rhee (9 shared papers)Joshua Epstein (3 shared papers)Mauricio Pineda‐Roman (6 shared papers)Maurizio Zangari (4 shared papers)
- Journals
- Blood (8 papers)British Journal of Haematology (4 papers)Cancer (1 paper)Circulation Cardiovascular Genetics (1 paper)Genetic Epidemiology (1 paper)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Jeff Haessler
15 papers receiving 992 citations
Peers
Comparison fields: 5 of 53
- Hematology 861
- Oncology 521
- Molecular Biology 666
- Genetics 98
- Emergency Medicine 45
Countries citing papers authored by Jeff Haessler
This map shows the geographic impact of Jeff Haessler'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 Jeff Haessler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Haessler more than expected).
Fields of papers citing papers by Jeff Haessler
This network shows the impact of papers produced by Jeff Haessler. 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 Jeff Haessler. The network helps show where Jeff Haessler may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeff Haessler, 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 | 2009 | 354 | |
| 2 | 2008 | 166 | |
| 3 | 2008 | 125 | |
| 4 | 2008 | 106 | |
| 5 | 2009 | 50 | |
| 6 | 2008 | 48 | |
| 7 | 2007 | 46 | |
| 8 | 2014 | 32 | |
| 9 | 2012 | 29 | |
| 10 | 2008 | 28 | |
| 11 | 2008 | 10 | |
| 12 | 2008 | 8 | |
| 13 | 2009 | 5 | |
| 14 | 2020 | 4 | |
| 15 | 2006 | 1 | |
| 16 | 2006 | 0 |
About Jeff Haessler
Jeff Haessler is a scholar working on Hematology, Molecular Biology, Genetics, Oncology and Genetics, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (13 papers), Protein Degradation and Inhibitors (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Cancer therapeutics and mechanisms (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (3 papers), Genetic Associations and Epidemiology (2 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Hematology (861 citations), Oncology (521 citations), Molecular Biology (666 citations), Genetics (98 citations) and Emergency Medicine (45 citations). Jeff Haessler has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Bart Barlogie, John Crowley, John D. Shaughnessy, Elias Anaissie, Frits van Rhee, Joshua Epstein, Mauricio Pineda‐Roman, Maurizio Zangari, Tracy L. Brown and Twyla B. Bartel. Their work appears in journals such as Blood, British Journal of Haematology, Cancer, Circulation Cardiovascular Genetics and Genetic Epidemiology.
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.