Daniel Pinto

46 papers and 1.0k indexed citations i.

About

Daniel Pinto is a scholar working on Surgery, Rheumatology and Economics and Econometrics. According to data from OpenAlex, Daniel Pinto has authored 46 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Surgery, 14 papers in Rheumatology and 10 papers in Economics and Econometrics. Recurrent topics in Daniel Pinto’s work include Osteoarthritis Treatment and Mechanisms (12 papers), Musculoskeletal pain and rehabilitation (9 papers) and Total Knee Arthroplasty Outcomes (8 papers). Daniel Pinto is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (12 papers), Musculoskeletal pain and rehabilitation (9 papers) and Total Knee Arthroplasty Outcomes (8 papers). Daniel Pinto collaborates with scholars based in United States, New Zealand and The Netherlands. Daniel Pinto's co-authors include J. Haxby Abbott, Paul Hansen, M. Clare Robertson, Angela Campbell, M. C. Robertson, Alexis A. Wright, Cathy Chapple, Rowland W. Chang, Jungwha Lee and Dorothy D. Dunlop and has published in prestigious journals such as Gastroenterology, Spine and Archives of Physical Medicine and Rehabilitation.

In The Last Decade

Co-authorship network of co-authors of Daniel Pinto i

Fields of papers citing papers by Daniel Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Pinto

Since Specialization
Citations

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

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025