Lidia Gil
Impact in
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation
- Internal Medicine top 5%
- Venous Thromboembolism Diagnosis and Management
Papers in
- Hematology 67
- Hematopoietic Stem Cell Transplantation 24
- Acute Myeloid Leukemia Research 16
- Oncology 58
- Neutropenia and Cancer Infections 16
- Viral-associated cancers and disorders 16
- Polyomavirus and related diseases 14
- Co-authors
- Jan Styczyński (26 shared papers)Mieczysław A. Komarnicki (37 shared papers)Joanna Rupa‐Matysek (33 shared papers)Hermann Einsele (1 shared paper)Per Ljungman (2 shared papers)Maciej Kaźmierczak (7 shared papers)Dominik Dytfeld (19 shared papers)Elżbieta Nowakowska (2 shared papers)
- Journals
- Bone Marrow Transplantation (16 papers)Annals of Hematology (7 papers)Blood (5 papers)Medical Oncology (5 papers)Journal of Clinical Medicine (4 papers)
- Partner nations
- PolandItalyNetherlands
In The Last Decade
Lidia Gil
162 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 104
- Hematology 815
- Internal Medicine 137
- Oncology 876
- Genetics 343
- Microbiology 23
Countries citing papers authored by Lidia Gil
This map shows the geographic impact of Lidia Gil'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 Lidia Gil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lidia Gil more than expected).
Fields of papers citing papers by Lidia Gil
This network shows the impact of papers produced by Lidia Gil. 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 Lidia Gil. The network helps show where Lidia Gil may publish in the future.
Co-authors
The 25 scholars most cited alongside Lidia Gil, 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 178 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 261 | |
| 2 | 2013 | 195 | |
| 3 | 2009 | 170 | |
| 4 | 2015 | 85 | |
| 5 | 2009 | 82 | |
| 6 | 2020 | 77 | |
| 7 | 2011 | 75 | |
| 8 | 2007 | 74 | |
| 9 | 2014 | 67 | |
| 10 | 2023 | 54 | |
| 11 | 2018 | 45 | |
| 12 | 2008 | 45 | |
| 13 | 2019 | 42 | |
| 14 | 2008 | 42 | |
| 15 | 2016 | 42 | |
| 16 | 2017 | 41 | |
| 17 | 2020 | 36 | |
| 18 | 2015 | 31 | |
| 19 | 2018 | 30 | |
| 20 | 2021 | 30 |
About Lidia Gil
Lidia Gil is a scholar working on Hematology, Oncology, Genetics, Infectious Diseases and Epidemiology, having authored 178 papers that have together received 2.5k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (24 papers), Neutropenia and Cancer Infections (16 papers), Viral-associated cancers and disorders (16 papers), Acute Myeloid Leukemia Research (16 papers), Lymphoma Diagnosis and Treatment (15 papers), Chronic Lymphocytic Leukemia Research (14 papers), Antifungal resistance and susceptibility (14 papers) and Polyomavirus and related diseases (14 papers). The work is most often cited by research in Hematology (815 citations), Internal Medicine (137 citations), Oncology (876 citations), Genetics (343 citations) and Microbiology (23 citations). Lidia Gil has collaborated with scholars based in Poland, Italy and Netherlands. Frequent co-authors include Jan Styczyński, Mieczysław A. Komarnicki, Joanna Rupa‐Matysek, Hermann Einsele, Per Ljungman, Maciej Kaźmierczak, Dominik Dytfeld, Elżbieta Nowakowska, Katarzyna Brzeźniakiewicz‐Janus and Anna Olewicz‐Gawlik. Their work appears in journals such as Bone Marrow Transplantation, Annals of Hematology, Blood, Medical Oncology and Journal of Clinical Medicine.
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.