Ewelina Kulikowski
- Hematology top 5%
- Multiple Myeloma Research and Treatments 9
- Nephrology top 10%
- Molecular Biology top 10%
- Protein Degradation and Inhibitors 35
- Histone Deacetylase Inhibitors Research 5
- Ubiquitin and proteasome pathways 4
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- Diabetes Treatment and Management 8
- Virology top 10%
- HIV Research and Treatment 5
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- Peptidase Inhibition and Analysis 9
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- Diet and metabolism studies 4
- Co-authors
- Norman C.W. WongMichael SweeneyJan O. JohanssonKamyar Kalantar‐ZadehDean GilhamBrooke D. RakaiStephen J. NichollsKausik K. Ray
- Journals
- Atherosclerosis (6 papers)Nephrology Dialysis Transplantation (4 papers)Journal of the American College of Cardiology (4 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Ewelina Kulikowski
47 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 75
- Hematology 214
- Nephrology 87
- Molecular Biology 771
- Endocrinology, Diabetes and Metabolism 186
- Virology 38
Countries citing papers authored by Ewelina Kulikowski
This map shows the geographic impact of Ewelina Kulikowski'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 Ewelina Kulikowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ewelina Kulikowski more than expected).
Fields of papers citing papers by Ewelina Kulikowski
This network shows the impact of papers produced by Ewelina Kulikowski. 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 Ewelina Kulikowski. The network helps show where Ewelina Kulikowski may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ewelina Kulikowski, 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 | 2023 | 6 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 7 | |
| 5 | 2021 | 21 | |
| 6 | 2021 | 56 | |
| 7 | 2021 | 16 | |
| 8 | 2020 | 1 | |
| 9 | 2020 | 31 | |
| 10 | 2020 | 1 | |
| 11 | 2020 | 112 | |
| 12 | Abstract 671: Hepatic Expression of C-Reactive Protein is Epigenetically Regulated by BET Proteins and Inhibited by Apabetalone (RVX-208) in vitro and in CVD Patients | 2019 | 1 |
| 13 | 2019 | 96 | |
| 14 | 2019 | 1 | |
| 15 | 2019 | 18 | |
| 16 | 2018 | 41 | |
| 17 | 2017 | 48 | |
| 18 | 2017 | 32 | |
| 19 | 2017 | 1 | |
| 20 | 2016 | 15 |
About Ewelina Kulikowski
Ewelina Kulikowski is a scholar working on Hematology, Virology and Endocrinology, Diabetes and Metabolism, having authored 49 papers that have together received 1.2k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (35 papers), Multiple Myeloma Research and Treatments (9 papers), Peptidase Inhibition and Analysis (9 papers), Diabetes Treatment and Management (8 papers), HIV Research and Treatment (5 papers), Histone Deacetylase Inhibitors Research (5 papers), Diet and metabolism studies (4 papers) and Ubiquitin and proteasome pathways (4 papers). The work is most often cited by research in Hematology (214 citations), Nephrology (87 citations) and Molecular Biology (771 citations). Ewelina Kulikowski has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Norman C.W. Wong, Michael Sweeney, Jan O. Johansson, Kamyar Kalantar‐Zadeh, Dean Gilham, Brooke D. Rakai, Stephen J. Nicholls, Kausik K. Ray, Gregory G. Schwartz and Christopher Halliday. Their work appears in journals such as Atherosclerosis, Nephrology Dialysis Transplantation, Journal of the American College of Cardiology, Biomedicines and European Heart Journal.
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.