Rudi Agius

541 total citations
13 papers, 308 citations indexed

About

Rudi Agius is a scholar working on Genetics, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Rudi Agius has authored 13 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 6 papers in Pathology and Forensic Medicine and 5 papers in Molecular Biology. Recurrent topics in Rudi Agius's work include Chronic Lymphocytic Leukemia Research (7 papers), Lymphoma Diagnosis and Treatment (5 papers) and Immunodeficiency and Autoimmune Disorders (4 papers). Rudi Agius is often cited by papers focused on Chronic Lymphocytic Leukemia Research (7 papers), Lymphoma Diagnosis and Treatment (5 papers) and Immunodeficiency and Autoimmune Disorders (4 papers). Rudi Agius collaborates with scholars based in Denmark, United Kingdom and Spain. Rudi Agius's co-authors include Paul A. Bates, Iain H. Moal, Carsten Utoft Niemann, Mieczyslaw Torchala, Christian Brieghel, Tammy M. K. Cheng, Sakshi Gulati, Raphaël A. G. Chaleil, Juan Fernández‐Recio and Jens Lundgren and has published in prestigious journals such as Nature Communications, Bioinformatics and Scientific Reports.

In The Last Decade

Rudi Agius

13 papers receiving 300 citations

Peers

Countries citing papers authored by Rudi Agius

Since Specialization

Citations

This map shows the geographic impact of Rudi Agius'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 Rudi Agius with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rudi Agius more than expected).

Fields of papers citing papers by Rudi Agius

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rudi Agius. 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 Rudi Agius. The network helps show where Rudi Agius may publish in the future.

Co-authorship network of co-authors of Rudi Agius

This figure shows the co-authorship network connecting the top 25 collaborators of Rudi Agius. A scholar is included among the top collaborators of Rudi Agius 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 Rudi Agius. Rudi Agius is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

#	Work	Indexed citations
1	The Danish Lymphoid Cancer Research (DALY-CARE) Data Resource: The Basis for Developing Data-Driven Hematology 2025 ·Clinical Epidemiology ·Christian Brieghel, (unknown), Casper Møller Frederiksen, (unknown), (unknown), (unknown), (unknown), (unknown), Caspar da Cunha‐Bang, (unknown), Rudi Agius, Carsten Utoft Niemann	3
2	Deployment and validation of the CLL treatment infection model adjoined to an EHR system 2024 ·npj Digital Medicine ·Rudi Agius, Anders C. Riis-Jensen, (unknown), Caspar da Cunha‐Bang, Daniel D. Murray, Christian Bjørn Poulsen, (unknown), (unknown), Jens Lundgren, Henning Langberg, Carsten Utoft Niemann	3
3	Identifying CLL patients at high risk of atrial fibrillation on treatment using machine learning 2024 ·Leukemia & lymphoma ·(unknown), Rudi Agius, (unknown), (unknown), (unknown), Carsten Utoft Niemann	4
4	P629: THE CLL TREATMENT INFECTION MODEL – CLINICAL PROSPECTIVE VALIDATION AS PART OF THE PREVENT-ACALL TRIAL 2023 ·HemaSphere ·Carsten Utoft Niemann, Mark‐David Levin, Anders Österborg, Jeanette Lundin, (unknown), (unknown), Caspar da Cunha‐Bang, (unknown), Christian Brieghel, Fransien de Boer, Lisbeth Enggaard, Christian Bjørn Poulsen, Joanne Reekie, Rudi Agius	1
5	Personalized survival probabilities for SARS-CoV-2 positive patients by explainable machine learning 2022 ·Scientific Reports ·(unknown), Rudi Agius, (unknown), (unknown), (unknown), Cameron Ross MacPherson, Jens Lundgren, Sisse Rye Ostrowski, Carsten Utoft Niemann	5
6	Prediction of clinical outcome in CLL based on recurrent gene mutations, CLL-IPI variables, and (para)clinical data 2022 ·Blood Advances ·(unknown), Christian Brieghel, Rudi Agius, Carsten Utoft Niemann	6
7	Identifying patients with chronic lymphocytic leukemia without need of treatment: End of endless watch and wait? 2022 ·European Journal Of Haematology ·Christian Brieghel, (unknown), Rudi Agius, Caspar da Cunha‐Bang, Michael Asger Andersen, Philip Vlummens, Mattias Mattsson, Richard Rosenquist, Karin E. Smedby, Carmen Herling, Jasmin Bahlo, Michael Hallek, Jens Lundgren, Fritz Offner, Carsten Utoft Niemann	12
8	Artificial intelligence models in chronic lymphocytic leukemia – recommendations toward state-of-the-art 2021 ·Leukemia & lymphoma ·Rudi Agius, (unknown), Carsten Utoft Niemann	12
9	Machine learning can identify newly diagnosed patients with CLL at high risk of infection 2020 ·Nature Communications ·Rudi Agius, Christian Brieghel, Michael Asger Andersen, Alexander T. Pearson, Bruno Ledergerber, Alessandro Cozzi‐Lepri, Yoram Louzoun, Christen Lykkegaard Andersen, Jacob Bergstedt, Jakob Hjorth von Stemann, Mette Jørgensen, Man‐Hung Eric Tang, Magnus Fontes, Jasmin Bahlo, Carmen Herling, Michael Hallek, Jens Lundgren, Cameron Ross MacPherson, Jan Larsen, Carsten Utoft Niemann	81
10	Characterizing Changes in the Rate of Protein-Protein Dissociation upon Interface Mutation Using Hotspot Energy and Organization 2013 ·PLoS Computational Biology ·Rudi Agius, Mieczyslaw Torchala, Iain H. Moal, Juan Fernández‐Recio, Paul A. Bates	30
11	A Markov‐chain model description of binding funnels to enhance the ranking of docked solutions 2013 ·Proteins Structure Function and Bioinformatics ·Mieczyslaw Torchala, Iain H. Moal, Raphaël A. G. Chaleil, Rudi Agius, Paul A. Bates	30
12	Understanding cancer mechanisms through network dynamics 2012 ·Briefings in Functional Genomics ·Tammy M. K. Cheng, Sakshi Gulati, Rudi Agius, Paul A. Bates	28
13	Protein–protein binding affinity prediction on a diverse set of structures 2011 ·Bioinformatics ·Iain H. Moal, Rudi Agius, Paul A. Bates	93

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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