Jan Styczyński
Impact in
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation
- Oncology top 1%
- Polyomavirus and related diseases
- Viral-associated cancers and disorders
- Neutropenia and Cancer Infections
Papers in
- Oncology 89
- Neutropenia and Cancer Infections 24
- Viral-associated cancers and disorders 23
- Polyomavirus and related diseases 22
- Hematology 71
- Hematopoietic Stem Cell Transplantation 42
- Acute Myeloid Leukemia Research 23
- Co-authors
- Per Ljungman (22 shared papers)Rafael de la Cámara (18 shared papers)Dan Engelhard (5 shared papers)Mariusz Wysocki (107 shared papers)Catherine Cordonnier (6 shared papers)Simone Cesaro (23 shared papers)Lidia Gil (25 shared papers)Katherine N. Ward (5 shared papers)
In The Last Decade
Jan Styczyński
265 papers receiving 4.8k citations
Peers
Comparison fields: 5 of 125
- Hematology 1.4k
- Oncology 1.8k
- Infectious Diseases 889
- Epidemiology 1.5k
- Transplantation 75
Countries citing papers authored by Jan Styczyński
This map shows the geographic impact of Jan Styczyński'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 Jan Styczyński with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Styczyński more than expected).
Fields of papers citing papers by Jan Styczyński
This network shows the impact of papers produced by Jan Styczyński. 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 Jan Styczyński. The network helps show where Jan Styczyński may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Styczyński, 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 308 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 283 | |
| 2 | 2014 | 282 | |
| 3 | 2017 | 258 | |
| 4 | 2016 | 257 | |
| 5 | 2008 | 218 | |
| 6 | 2014 | 166 | |
| 7 | 2009 | 156 | |
| 8 | 2019 | 136 | |
| 9 | 2021 | 136 | |
| 10 | 2020 | 127 | |
| 11 | 2020 | 124 | |
| 12 | 2017 | 119 | |
| 13 | 2019 | 118 | |
| 14 | 2020 | 115 | |
| 15 | 2018 | 103 | |
| 16 | 2020 | 94 | |
| 17 | 2009 | 93 | |
| 18 | 2021 | 87 | |
| 19 | 2007 | 69 | |
| 20 | 2022 | 67 |
About Jan Styczyński
Jan Styczyński is a scholar working on Oncology, Hematology, Epidemiology, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health, having authored 308 papers that have together received 4.9k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (58 papers), Hematopoietic Stem Cell Transplantation (42 papers), Cytomegalovirus and herpesvirus research (32 papers), Childhood Cancer Survivors' Quality of Life (32 papers), Neutropenia and Cancer Infections (24 papers), Viral-associated cancers and disorders (23 papers), Acute Myeloid Leukemia Research (23 papers) and Polyomavirus and related diseases (22 papers). The work is most often cited by research in Hematology (1.4k citations), Oncology (1.8k citations), Infectious Diseases (889 citations), Epidemiology (1.5k citations) and Transplantation (75 citations). Jan Styczyński has collaborated with scholars based in Poland, Italy and Spain. Frequent co-authors include Per Ljungman, Rafael de la Cámara, Dan Engelhard, Mariusz Wysocki, Catherine Cordonnier, Simone Cesaro, Lidia Gil, Katherine N. Ward, Nicolaus Kröger and Mohamad Mohty. Their work appears in journals such as Bone Marrow Transplantation, Blood, Anticancer Research, Cancers and Archivum Immunologiae et Therapiae Experimentalis.
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.