Daniel Motola‐Kuba

47 papers and 1.1k indexed citations i.

About

Daniel Motola‐Kuba is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Daniel Motola‐Kuba has authored 47 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Oncology, 13 papers in Pulmonary and Respiratory Medicine and 12 papers in Epidemiology. Recurrent topics in Daniel Motola‐Kuba’s work include Cancer Immunotherapy and Biomarkers (10 papers), Liver Disease Diagnosis and Treatment (6 papers) and Genetic factors in colorectal cancer (6 papers). Daniel Motola‐Kuba is often cited by papers focused on Cancer Immunotherapy and Biomarkers (10 papers), Liver Disease Diagnosis and Treatment (6 papers) and Genetic factors in colorectal cancer (6 papers). Daniel Motola‐Kuba collaborates with scholars based in Mexico, United States and France. Daniel Motola‐Kuba's co-authors include Misael Uribe, Nahúm Méndez‐Sánchez, Karla Sánchez-Lara, Óscar Arrieta, Daniel Zamora‐Valdés, Norberto C. Chávez‐Tapia, Dan Green, Kevin Norwood, Alessandro Laviano and Aurélien Marabelle and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Cancer.

In The Last Decade

Co-authorship network of co-authors of Daniel Motola‐Kuba i

Fields of papers citing papers by Daniel Motola‐Kuba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Motola‐Kuba

Since Specialization
Citations

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

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