Jon Ukropec
Impact in
- Hematology top 0.5%
- Multiple Myeloma Research and Treatments
- Chronic Myeloid Leukemia Treatments
- Oncology top 5%
- Peptidase Inhibition and Analysis
- CAR-T cell therapy research
- Cancer Treatment and Pharmacology
Papers in
- Hematology 40
- Multiple Myeloma Research and Treatments 38
- Chronic Myeloid Leukemia Treatments 7
- Oncology 15
- Peptidase Inhibition and Analysis 10
- Co-authors
- Meletios Α. Dimopoulos (11 shared papers)Nizar J. Bahlis (8 shared papers)Ming Qi (21 shared papers)Annette Lam (5 shared papers)Sarah Côté (4 shared papers)Jianming He (2 shared papers)Xiang Qin (5 shared papers)Lotfi Benboubker (5 shared papers)
- Journals
- Blood (20 papers)Journal of Clinical Oncology (5 papers)Leukemia (2 papers)Blood Advances (2 papers)Hematological Oncology (1 paper)
- Partner nations
- United StatesSpainFrance
In The Last Decade
Jon Ukropec
43 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 50
- Hematology 1.1k
- Oncology 514
- Genetics 151
- Molecular Biology 578
- Radiology, Nuclear Medicine and Imaging 79
Countries citing papers authored by Jon Ukropec
This map shows the geographic impact of Jon Ukropec'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 Jon Ukropec with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Ukropec more than expected).
Fields of papers citing papers by Jon Ukropec
This network shows the impact of papers produced by Jon Ukropec. 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 Jon Ukropec. The network helps show where Jon Ukropec may publish in the future.
Co-authors
The 25 scholars most cited alongside Jon Ukropec, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 239 | |
| 2 | 2020 | 164 | |
| 3 | 2019 | 102 | |
| 4 | 2019 | 97 | |
| 5 | 2020 | 75 | |
| 6 | 2015 | 52 | |
| 7 | 2019 | 51 | |
| 8 | 2015 | 48 | |
| 9 | 2019 | 43 | |
| 10 | 2018 | 32 | |
| 11 | 2016 | 31 | |
| 12 | 2018 | 29 | |
| 13 | 2019 | 28 | |
| 14 | 2012 | 27 | |
| 15 | 2019 | 26 | |
| 16 | 2019 | 19 | |
| 17 | 2021 | 19 | |
| 18 | 2018 | 14 | |
| 19 | 2019 | 9 | |
| 20 | 2018 | 9 |
About Jon Ukropec
Jon Ukropec is a scholar working on Hematology, Oncology, Organic Chemistry, Molecular Biology and Genetics, having authored 45 papers that have together received 1.2k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (38 papers), Synthesis and Biological Evaluation (13 papers), Peptidase Inhibition and Analysis (10 papers), Chronic Lymphocytic Leukemia Research (8 papers), Chronic Myeloid Leukemia Treatments (7 papers), Protein Degradation and Inhibitors (7 papers), Cancer Mechanisms and Therapy (4 papers) and Lymphoma Diagnosis and Treatment (4 papers). The work is most often cited by research in Hematology (1.1k citations), Oncology (514 citations), Genetics (151 citations), Molecular Biology (578 citations) and Radiology, Nuclear Medicine and Imaging (79 citations). Jon Ukropec has collaborated with scholars based in United States, Spain and France. Frequent co-authors include Meletios Α. Dimopoulos, Nizar J. Bahlis, Ming Qi, Annette Lam, Sarah Côté, Jianming He, Xiang Qin, Lotfi Benboubker, Philippe Moreau and María‐Victoria Mateos. Their work appears in journals such as Blood, Journal of Clinical Oncology, Leukemia, Blood Advances and Hematological Oncology.
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.