Diego Villa
Impact in
- Pathology and Forensic Medicine top 0.2%
- Lymphoma Diagnosis and Treatment
- Neurology top 1%
- CNS Lymphoma Diagnosis and Treatment
Papers in
-
- Lymphoma Diagnosis and Treatment 109
- Oncology 52
- Viral-associated cancers and disorders 25
- CAR-T cell therapy research 9
- HER2/EGFR in Cancer Research 6
- Co-authors
- Kerry J. Savage (87 shared papers)Laurie H. Sehn (83 shared papers)Joseph M. Connors (67 shared papers)Randy D. Gascoyne (32 shared papers)Tamara Shenkier (22 shared papers)David W. Scott (56 shared papers)Richard Klasa (19 shared papers)Alina S. Gerrie (63 shared papers)
- Journals
- Blood (55 papers)British Journal of Haematology (15 papers)Journal of Clinical Oncology (13 papers)Hematological Oncology (10 papers)Blood Advances (10 papers)
- Partner nations
- CanadaUnited StatesDenmark
In The Last Decade
Diego Villa
135 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 69
- Pathology and Forensic Medicine 1.8k
- Neurology 921
- Genetics 593
- Oncology 974
- Dermatology 170
Countries citing papers authored by Diego Villa
This map shows the geographic impact of Diego Villa'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 Diego Villa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Villa more than expected).
Fields of papers citing papers by Diego Villa
This network shows the impact of papers produced by Diego Villa. 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 Diego Villa. The network helps show where Diego Villa may publish in the future.
Co-authors
The 25 scholars most cited alongside Diego Villa, 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 151 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 290 | |
| 2 | 2016 | 269 | |
| 3 | 2009 | 149 | |
| 4 | 2016 | 125 | |
| 5 | 2019 | 87 | |
| 6 | 2018 | 84 | |
| 7 | 2016 | 70 | |
| 8 | 2015 | 69 | |
| 9 | 2011 | 62 | |
| 10 | 2014 | 58 | |
| 11 | 2015 | 56 | |
| 12 | 2017 | 52 | |
| 13 | 2019 | 50 | |
| 14 | 2020 | 48 | |
| 15 | 2013 | 44 | |
| 16 | 2015 | 43 | |
| 17 | 2015 | 43 | |
| 18 | 2020 | 42 | |
| 19 | 2016 | 41 | |
| 20 | 2012 | 40 |
About Diego Villa
Diego Villa is a scholar working on Pathology and Forensic Medicine, Oncology, Genetics, Neurology and Pulmonary and Respiratory Medicine, having authored 151 papers that have together received 2.6k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (109 papers), CNS Lymphoma Diagnosis and Treatment (39 papers), Chronic Lymphocytic Leukemia Research (36 papers), Viral-associated cancers and disorders (25 papers), Lung Cancer Treatments and Mutations (14 papers), CAR-T cell therapy research (9 papers), Glioma Diagnosis and Treatment (9 papers) and HER2/EGFR in Cancer Research (6 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.8k citations), Neurology (921 citations), Genetics (593 citations), Oncology (974 citations) and Dermatology (170 citations). Diego Villa has collaborated with scholars based in Canada, United States and Denmark. Frequent co-authors include Kerry J. Savage, Laurie H. Sehn, Joseph M. Connors, Randy D. Gascoyne, Tamara Shenkier, David W. Scott, Richard Klasa, Alina S. Gerrie, Graham W. Slack and Tarec Christoffer El‐Galaly. Their work appears in journals such as Blood, British Journal of Haematology, Journal of Clinical Oncology, Hematological Oncology and Blood Advances.
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.