Rafał Pawliński
- Hematology top 0.2%
- Blood Coagulation and Thrombosis Mechanisms 55
- Hemophilia Treatment and Research 16
- Platelet Disorders and Treatments 12
- Iron Metabolism and Disorders 12
- Internal Medicine top 0.5%
- Venous Thromboembolism Diagnosis and Management 10
- Genetics top 1%
- Hemoglobinopathies and Related Disorders 23
- Coagulation, Bradykinin, Polyphosphates, and Angioedema 16
- Myeloproliferative Neoplasms: Diagnosis and Treatment 12
- Immunology top 1%
- Cancer Research top 1%
- Co-authors
- Nigel MackmanErica SparkenbaughMichael TencatiBrian PedersenNigel S. KeyThorsten CramerHans-Peter GerberNapoleone Ferrara
- Cited by
- HematologyInternal MedicineGenetics
- Partner nations
- United StatesGermanyPoland
In The Last Decade
Rafał Pawliński
100 papers receiving 6.6k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Hematology 2.1k
- Internal Medicine 582
- Genetics 965
- Immunology 1.8k
- Cancer Research 1.2k
Countries citing papers authored by Rafał Pawliński
This map shows the geographic impact of Rafał Pawliński'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 Rafał Pawliński with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafał Pawliński more than expected).
Fields of papers citing papers by Rafał Pawliński
This network shows the impact of papers produced by Rafał Pawliński. 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 Rafał Pawliński. The network helps show where Rafał Pawliński may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rafał Pawliński, 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 | 2025 | 1 | |
| 2 | 2024 | 7 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2021 | 20 | |
| 7 | 2021 | 46 | |
| 8 | 2020 | 66 | |
| 9 | 2020 | 9 | |
| 10 | 2020 | 9 | |
| 11 | 2020 | 19 | |
| 12 | 2019 | 52 | |
| 13 | 2018 | 21 | |
| 14 | 2017 | 87 | |
| 15 | 2014 | 86 | |
| 16 | 2013 | 110 | |
| 17 | 2013 | 39 | |
| 18 | 2008 | 221 | |
| 19 | HIF-1α Is Essential for Myeloid Cell-Mediated Inflammationbreakdown → | 2003 | 1641 |
| 20 | 1999 | 3 |
About Rafał Pawliński
Rafał Pawliński is a scholar working on Hematology, Genetics and Internal Medicine, having authored 103 papers that have together received 6.7k indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (55 papers), Hemoglobinopathies and Related Disorders (23 papers), Hemophilia Treatment and Research (16 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (16 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (12 papers), Platelet Disorders and Treatments (12 papers), Iron Metabolism and Disorders (12 papers) and Venous Thromboembolism Diagnosis and Management (10 papers). The work is most often cited by research in Hematology (2.1k citations), Internal Medicine (582 citations) and Genetics (965 citations). Rafał Pawliński has collaborated with scholars based in United States, Germany and Poland. Frequent co-authors include Nigel Mackman, Erica Sparkenbaugh, Michael Tencati, Brian Pedersen, Nigel S. Key, Thorsten Cramer, Hans-Peter Gerber, Napoleone Ferrara, Gary S. Firestein and Björn E. Clausen. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.