D. Yam

13 papers and 420 indexed citations i.

About

D. Yam is a scholar working on Molecular Biology, Physiology and Cancer Research. According to data from OpenAlex, D. Yam has authored 13 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Physiology and 5 papers in Cancer Research. Recurrent topics in D. Yam’s work include Metabolism, Diabetes, and Cancer (6 papers), Cancer, Lipids, and Metabolism (5 papers) and Diet and metabolism studies (5 papers). D. Yam is often cited by papers focused on Metabolism, Diabetes, and Cancer (6 papers), Cancer, Lipids, and Metabolism (5 papers) and Diet and metabolism studies (5 papers). D. Yam collaborates with scholars based in Israel. D. Yam's co-authors include Meir Shinitzky, Simon Schlanger, A Eliraz, Alpha Peled, Elliot M. Berry, I. Nir, Marta Perek‐Polnik, Aaron S. Fink, Dan Heller and N. Snapir and has published in prestigious journals such as British Journal of Cancer, Epilepsia and Cancer Letters.

In The Last Decade

Co-authorship network of co-authors of D. Yam i

Fields of papers citing papers by D. Yam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by D. Yam

Since Specialization
Citations

This map shows the geographic impact of D. Yam'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 D. Yam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Yam 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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2025