Gladys M. Torres

24 total papers · 415 total citations
19 papers, 307 citations indexed

About

Gladys M. Torres is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Gladys M. Torres has authored 19 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 8 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Oncology. Recurrent topics in Gladys M. Torres's work include MRI in cancer diagnosis (6 papers), Advanced MRI Techniques and Applications (4 papers) and Gastrointestinal disorders and treatments (3 papers). Gladys M. Torres is often cited by papers focused on MRI in cancer diagnosis (6 papers), Advanced MRI Techniques and Applications (4 papers) and Gastrointestinal disorders and treatments (3 papers). Gladys M. Torres collaborates with scholars based in United States, Switzerland and Spain. Gladys M. Torres's co-authors include Pablo R. Ros, Patricia J. Mergo, Mark R. Paley, Patricia L. Abbitt, Sharon S. Burton, Joseph G. Cernigliaro, William K. Johnson, Eugene Rosenberg, D C Rappaport and Michael D. Sombeck and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Radiation Oncology*Biology*Physics and American Journal of Roentgenology.

In The Last Decade

Gladys M. Torres

19 papers receiving 297 citations

Author Peers

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

Author Last Decade Papers Cites
Gladys M. Torres 140 93 59 51 41 19 307
Mark R. Paley 149 1.1× 75 0.8× 107 1.8× 68 1.3× 65 1.6× 12 291
V L Schiller 134 1.0× 47 0.5× 78 1.3× 54 1.1× 58 1.4× 18 321
Jeffrey J. Brown 173 1.2× 116 1.2× 53 0.9× 38 0.7× 100 2.4× 11 346
Monzer Chehab 148 1.1× 60 0.6× 62 1.1× 121 2.4× 45 1.1× 17 356
J. Petersein 80 0.6× 100 1.1× 45 0.8× 54 1.1× 39 1.0× 24 265
Wiwatana Tanomkiat 101 0.7× 117 1.3× 78 1.3× 86 1.7× 48 1.2× 35 319
Ashley Davidoff 124 0.9× 65 0.7× 26 0.4× 80 1.6× 40 1.0× 12 321
Z Harkányi 111 0.8× 70 0.8× 41 0.7× 61 1.2× 38 0.9× 18 274
Fabrizio Boni 103 0.7× 105 1.1× 19 0.3× 99 1.9× 20 0.5× 13 347
Enno Rodegerdts 88 0.6× 57 0.6× 36 0.6× 25 0.5× 16 0.4× 15 305

Countries citing papers authored by Gladys M. Torres

Since Specialization
Citations

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

Fields of papers citing papers by Gladys M. Torres

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gladys M. Torres. 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 Gladys M. Torres. The network helps show where Gladys M. Torres may publish in the future.

Co-authorship network of co-authors of Gladys M. Torres

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

All Works

Loading papers...

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
2026