Alva G. Sainz

9 papers and 324 indexed citations i.

About

Alva G. Sainz is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Alva G. Sainz has authored 9 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Pathology and Forensic Medicine and 3 papers in Oncology. Recurrent topics in Alva G. Sainz’s work include Cancer Mechanisms and Therapy (4 papers), Mitochondrial Function and Pathology (3 papers) and Peptidase Inhibition and Analysis (3 papers). Alva G. Sainz is often cited by papers focused on Cancer Mechanisms and Therapy (4 papers), Mitochondrial Function and Pathology (3 papers) and Peptidase Inhibition and Analysis (3 papers). Alva G. Sainz collaborates with scholars based in United States. Alva G. Sainz's co-authors include Gerald S. Shadel, Zheng Wu, Noel A. Warfel, Andrew S. Kraft, Jin H. Song, Robert E. Means, Rachel K. Toth, Barbara E. Ehrlich, Allison L. Brill and Samuel G. Katz and has published in prestigious journals such as The Journal of Cell Biology, Cancer Research and Oncogene.

In The Last Decade

Co-authorship network of co-authors of Alva G. Sainz i

Fields of papers citing papers by Alva G. Sainz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alva G. Sainz. 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 Alva G. Sainz. The network helps show where Alva G. Sainz may publish in the future.

Countries citing papers authored by Alva G. Sainz

Since Specialization
Citations

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