Diego Villa

7.4k total citations
147 papers, 2.5k citations indexed

About

Diego Villa is a scholar working on Pathology and Forensic Medicine, Oncology and Genetics. According to data from OpenAlex, Diego Villa has authored 147 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Pathology and Forensic Medicine, 58 papers in Oncology and 50 papers in Genetics. Recurrent topics in Diego Villa's work include Lymphoma Diagnosis and Treatment (113 papers), CNS Lymphoma Diagnosis and Treatment (42 papers) and Chronic Lymphocytic Leukemia Research (39 papers). Diego Villa is often cited by papers focused on Lymphoma Diagnosis and Treatment (113 papers), CNS Lymphoma Diagnosis and Treatment (42 papers) and Chronic Lymphocytic Leukemia Research (39 papers). Diego Villa collaborates with scholars based in Canada, United States and Denmark. Diego Villa's co-authors include Kerry J. Savage, Laurie H. Sehn, Joseph M. Connors, Randy D. Gascoyne, Tamara Shenkier, Richard Klasa, David W. Scott, Alina S. Gerrie, Graham W. Slack and Tarec Christoffer El‐Galaly and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Diego Villa

128 papers receiving 2.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Diego Villa Canada 26 2.0k 1.2k 987 721 334 147 2.5k
Hervé Ghesquières France 31 2.1k 1.1× 1.6k 1.3× 877 0.9× 852 1.2× 274 0.8× 193 3.0k
Vincent Delwail France 23 2.1k 1.0× 1.1k 0.9× 1.1k 1.2× 1.3k 1.8× 168 0.5× 78 2.6k
Karamjit Gill Canada 13 2.4k 1.2× 1.6k 1.3× 636 0.6× 859 1.2× 292 0.9× 19 2.9k
Annarita Conconi Italy 24 1.9k 0.9× 1.0k 0.8× 550 0.6× 701 1.0× 386 1.2× 71 2.3k
Emilio Iannitto Italy 29 2.4k 1.2× 1.3k 1.1× 679 0.7× 916 1.3× 637 1.9× 78 3.5k
Monica Tani Italy 26 1.7k 0.8× 819 0.7× 509 0.5× 453 0.6× 385 1.2× 105 2.2k
Pauline Brice France 23 2.3k 1.1× 1.4k 1.1× 722 0.7× 546 0.8× 467 1.4× 75 3.1k
Vittorio Stefoni Italy 30 2.3k 1.1× 958 0.8× 709 0.7× 609 0.8× 589 1.8× 133 2.8k
Pierre Feugier France 26 3.2k 1.6× 2.2k 1.8× 876 0.9× 1.4k 1.9× 335 1.0× 79 3.8k
Max Wolf Australia 22 1.7k 0.8× 1.0k 0.9× 490 0.5× 791 1.1× 275 0.8× 55 2.1k

Countries citing papers authored by Diego Villa

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Diego Villa

This figure shows the co-authorship network connecting the top 25 collaborators of Diego Villa. A scholar is included among the top collaborators of Diego Villa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Diego Villa. Diego Villa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Meric‐Bernstam, Funda, Martin Gutierrez, Enrique Sanz‐García, et al.. (2025). Phase 2 Study of Zilovertamab Vedotin in Participants with Metastatic Solid Tumors. Cancer Research Communications. 5(9). 1664–1673. 1 indexed citations
2.
Villa, Diego, Jean-François Larouche, Matthew C. Cheung, et al.. (2023). Rituximab combined with chemotherapy and acalabrutinib prior to autologous stem cell transplantation in mantle cell lymphoma: The Rectangle Trial. Hematological Oncology. 41(S2). 483–484.
3.
Villa, Diego, Jean-François Larouche, Matthew C. Cheung, et al.. (2023). Rituximab Combined with Chemotherapy and Acalabrutinib Prior to Autologous Stem Cell Transplantation in Mantle Cell Lymphoma: The Rectangle Trial. Blood. 142(Supplement 1). 3042–3042.
4.
Villa, Diego, Aixiang Jiang, Carlo Visco, et al.. (2023). Time to progression of disease and outcomes with second-line BTK inhibitors in relapsed/refractory mantle cell lymphoma. Blood Advances. 7(16). 4576–4585. 11 indexed citations
6.
Berinstein, Neil L., Kees-Peter de Roos, Rebecca F. McClure, et al.. (2023). Indolent lymphoma: Bendamustine, rituximab and acalabrutinib in Waldenstroms Macroglobulinemia (BRAWM). Hematological Oncology. 41(S2). 396–397. 1 indexed citations
7.
Kwon, Daniel, Katsuyoshi Takata, Zhengxing Zhang, et al.. (2022). Targeting Refractory Mantle Cell Lymphoma for Imaging and Therapy Using C-X-C Chemokine Receptor Type 4 Radioligands. Clinical Cancer Research. 28(8). 1628–1639. 8 indexed citations
8.
El‐Galaly, Tarec Christoffer, Diego Villa, Chan Y. Cheah, & Lars Christian Gormsen. (2022). Pre‐treatment total metabolic tumour volumes in lymphoma: Does quantity matter?. British Journal of Haematology. 197(2). 139–155. 17 indexed citations
9.
Villa, Diego, Ciara L. Freeman, Graham W. Slack, et al.. (2022). Clinicopathological characteristics and long‐term outcomes of plasmablastic lymphoma in British Columbia. British Journal of Haematology. 199(2). 230–238. 6 indexed citations
10.
El‐Galaly, Tarec Christoffer, Chan Y. Cheah, & Diego Villa. (2019). Real world data as a key element in precision medicine for lymphoid malignancies: potentials and pitfalls. British Journal of Haematology. 186(3). 409–419. 5 indexed citations
11.
Barraclough, Allison, Musa Alzahrani, Mark Bishton, et al.. (2019). COO and MYC/BCL2 status do not predict outcome among patients with stage I/II DLBCL: a retrospective multicenter study. Blood Advances. 3(13). 2013–2021. 28 indexed citations
12.
Steiner, Raphaël, Chelsea C. Pinnix, Bouthaina S. Dabaja, et al.. (2019). An international multicenter retrospective analysis of patients with extranodal marginal zone lymphoma and histologically confirmed central nervous system and dural involvement. Cancer Medicine. 9(2). 663–670. 16 indexed citations
13.
Collinge, Brett, Lauren C. Chong, Susana Ben‐Neriah, et al.. (2017). Deciphering Discordance between MYC mRNA and MYC IHC in DLBCL: The Role of MYC Exon 2 Mutations and N11S Polymorphism. Blood. 130. 3994–3994. 1 indexed citations
16.
Abrisqueta, Pau, David W. Scott, Graham W. Slack, et al.. (2017). Observation as the initial management strategy in patients with mantle cell lymphoma. Annals of Oncology. 28(10). 2489–2495. 51 indexed citations
17.
Savage, Kerry J., Samira Zeynalova, Roopesh Kansara, et al.. (2014). Validation of a Prognostic Model to Assess the Risk of CNS Disease in Patients with Aggressive B-Cell Lymphoma. Blood. 124(21). 394–394. 19 indexed citations
18.
Mak, Vivien, Mukesh Chhanabhai, Tamara Shenkier, et al.. (2013). Survival of Patients With Peripheral T-Cell Lymphoma After First Relapse or Progression: Spectrum of Disease and Rare Long-Term Survivors. Journal of Clinical Oncology. 31(16). 1970–1976. 286 indexed citations
19.
Connors, Joseph M., Laurie H. Sehn, Diego Villa, et al.. (2013). Gemcitabine, Dexamethasone, and Cisplatin (GDP) As Secondary Chemotherapy In Relapsed/Refractory Peripheral T-Cell Lymphoma. Blood. 122(21). 4345–4345. 3 indexed citations
20.
Bradley, Katherine, Scott Tyldesley, Caroline Speers, Ryan Woods, & Diego Villa. (2013). Contemporary Systemic Therapy for Male Breast Cancer. Clinical Breast Cancer. 14(1). 31–39. 23 indexed citations

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.

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