Daniel A. Sampaio

30 total papers · 541 total citations
19 papers, 252 citations indexed

About

Daniel A. Sampaio is a scholar working on Epidemiology, Molecular Medicine and Endocrinology. According to data from OpenAlex, Daniel A. Sampaio has authored 19 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 6 papers in Molecular Medicine and 6 papers in Endocrinology. Recurrent topics in Daniel A. Sampaio's work include Antibiotic Resistance in Bacteria (6 papers), Salmonella and Campylobacter epidemiology (3 papers) and Veterinary medicine and infectious diseases (3 papers). Daniel A. Sampaio is often cited by papers focused on Antibiotic Resistance in Bacteria (6 papers), Salmonella and Campylobacter epidemiology (3 papers) and Veterinary medicine and infectious diseases (3 papers). Daniel A. Sampaio collaborates with scholars based in Portugal, United Kingdom and France. Daniel A. Sampaio's co-authors include Luı́s Vieira, João Paulo Gomes, Vera Manageiro, Manuela Caniça, Alexandra Nunes, Vítor Borges, Miguel Pinheiro, Daniela Jones‐Dias, Eugénia Ferreira and Mónica Oleastro and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Scientific Reports.

In The Last Decade

Daniel A. Sampaio

19 papers receiving 248 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel A. Sampaio 91 84 71 46 44 19 252
Uzma Ansari 146 1.6× 81 1.0× 34 0.5× 19 0.4× 50 1.1× 17 246
Yu-Ping Hong 139 1.5× 101 1.2× 36 0.5× 28 0.6× 68 1.5× 18 275
Siyuan Feng 174 1.9× 56 0.7× 68 1.0× 20 0.4× 65 1.5× 20 299
Anne-Laure Michon 34 0.4× 63 0.8× 70 1.0× 28 0.6× 78 1.8× 21 290
Antoine Grillon 87 1.0× 38 0.5× 54 0.8× 26 0.6× 61 1.4× 30 322
Linda Mueller 144 1.6× 67 0.8× 40 0.6× 17 0.4× 93 2.1× 17 317
Toshinori Hara 75 0.8× 51 0.6× 54 0.8× 11 0.2× 41 0.9× 19 242
Mohamed Hamada 68 0.7× 39 0.5× 97 1.4× 18 0.4× 18 0.4× 15 291
Shao‐Kuang Chang 66 0.7× 35 0.4× 43 0.6× 19 0.4× 33 0.8× 15 301
Elnaz Sadat Mirsamadi 50 0.5× 46 0.5× 115 1.6× 30 0.7× 33 0.8× 19 330

Countries citing papers authored by Daniel A. Sampaio

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Sampaio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel A. Sampaio. 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 Daniel A. Sampaio. The network helps show where Daniel A. Sampaio may publish in the future.

Co-authorship network of co-authors of Daniel A. Sampaio

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel A. Sampaio. A scholar is included among the top collaborators of Daniel A. Sampaio 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 Daniel A. Sampaio. Daniel A. Sampaio 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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