Tiago Gräf

125 total papers · 3.5k total citations
42 papers, 856 citations indexed

About

Tiago Gräf is a scholar working on Infectious Diseases, Virology and Epidemiology. According to data from OpenAlex, Tiago Gräf has authored 42 papers receiving a total of 856 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Infectious Diseases, 21 papers in Virology and 13 papers in Epidemiology. Recurrent topics in Tiago Gräf's work include HIV Research and Treatment (21 papers), HIV/AIDS Research and Interventions (19 papers) and HIV, Drug Use, Sexual Risk (7 papers). Tiago Gräf is often cited by papers focused on HIV Research and Treatment (21 papers), HIV/AIDS Research and Interventions (19 papers) and HIV, Drug Use, Sexual Risk (7 papers). Tiago Gräf collaborates with scholars based in Brazil, South Africa and United States. Tiago Gräf's co-authors include Aguinaldo R. Pinto, Gonzalo Bello, David Khanyile, Cherie Cawood, Túlio de Oliveira, Sabrina Esteves de Matos Almeida, Anneke Grobler, Cheryl Baxter, Salim S. Abdool Karim and Ayesha B. M. Kharsany and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Virology.

In The Last Decade

Tiago Gräf

39 papers receiving 845 citations

Author Peers

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

Author Last Decade Papers Cites
Tiago Gräf 600 305 201 118 106 42 856
Gugu Maphalala 714 1.2× 220 0.7× 341 1.7× 61 0.5× 97 0.9× 35 862
Jessica Ingersoll 488 0.8× 193 0.6× 350 1.7× 125 1.1× 155 1.5× 34 984
Ann Petru 434 0.7× 198 0.6× 381 1.9× 93 0.8× 45 0.4× 31 891
Marie Suzan‐Monti 588 1.0× 157 0.5× 442 2.2× 139 1.2× 100 0.9× 50 1000
Krishna Prasad Acharya 259 0.4× 225 0.7× 175 0.9× 35 0.3× 68 0.6× 84 1.0k
Hannah Kibuuka 419 0.7× 180 0.6× 201 1.0× 71 0.6× 56 0.5× 69 754
Maria Xiridou 344 0.6× 263 0.9× 613 3.0× 162 1.4× 142 1.3× 39 880
Aroop Mohanty 388 0.6× 318 1.0× 326 1.6× 56 0.5× 325 3.1× 144 1.0k
Wairimu Chege 713 1.2× 91 0.3× 350 1.7× 176 1.5× 14 0.1× 35 998
José A. Fernández-Romero 416 0.7× 270 0.9× 243 1.2× 160 1.4× 67 0.6× 28 849

Countries citing papers authored by Tiago Gräf

Since Specialization
Citations

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

Fields of papers citing papers by Tiago Gräf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tiago Gräf

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