Diana Machado

125 total papers · 3.6k total citations
62 papers, 2.4k citations indexed

About

Diana Machado is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Diana Machado has authored 62 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Infectious Diseases, 42 papers in Epidemiology and 20 papers in Molecular Biology. Recurrent topics in Diana Machado's work include Tuberculosis Research and Epidemiology (46 papers), Mycobacterium research and diagnosis (40 papers) and Antibiotic Resistance in Bacteria (17 papers). Diana Machado is often cited by papers focused on Tuberculosis Research and Epidemiology (46 papers), Mycobacterium research and diagnosis (40 papers) and Antibiotic Resistance in Bacteria (17 papers). Diana Machado collaborates with scholars based in Portugal, Italy and United Kingdom. Diana Machado's co-authors include Miguel Viveiros, Isabel Couto, Leonard Amaral, Isabel Portugal, João Perdigão, Liliana Rodrigues, Jorge Ramos, Taane G. Clark, Marco Pieroni and Marta Martins and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Medicinal Chemistry.

In The Last Decade

Diana Machado

60 papers receiving 2.4k citations

Hit Papers

Integrating informatics t... 2019 2026 2021 2023 2019 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Diana Machado 1.6k 1.3k 855 508 325 62 2.4k
P R Gangadharam 1.3k 0.9× 1.5k 1.2× 556 0.7× 235 0.5× 319 1.0× 104 2.6k
Sarah A. Stanley 1.8k 1.1× 1.2k 0.9× 1.2k 1.4× 342 0.7× 305 0.9× 49 3.4k
Marie‐Antoinette Lanéelle 1.9k 1.2× 1.9k 1.5× 1.4k 1.7× 323 0.6× 341 1.0× 50 3.1k
Helen Billman‐Jacobe 1.2k 0.8× 1.1k 0.9× 852 1.0× 410 0.8× 211 0.6× 70 2.6k
Kyle H. Rohde 1.4k 0.9× 1.1k 0.9× 1.0k 1.2× 327 0.6× 108 0.3× 55 2.5k
José A. Aı́nsa 1.2k 0.8× 1.0k 0.8× 863 1.0× 650 1.3× 253 0.8× 66 2.3k
Jérôme Nigou 1.6k 1.0× 1.7k 1.3× 1.2k 1.4× 237 0.5× 532 1.6× 89 3.5k
Antonella Lupetti 907 0.6× 873 0.7× 789 0.9× 191 0.4× 158 0.5× 100 3.1k
Yang Liu 1.6k 1.0× 1.5k 1.2× 955 1.1× 383 0.8× 95 0.3× 45 2.7k
Alain R. Baulard 1.7k 1.1× 1.1k 0.9× 1.8k 2.1× 261 0.5× 459 1.4× 73 3.4k

Countries citing papers authored by Diana Machado

Since Specialization
Citations

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

Fields of papers citing papers by Diana Machado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diana Machado

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

All Works

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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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