Expression and prognostic significance of IAP-family genes in human cancers and myeloid leukemias.

518 indexed citations

Abstract

loading...

About

This paper, published in 2000, received 518 indexed citations. Written by Ingo Tamm, Steven M. Kornblau, Harry Segall, Stanisław Krajewski, Kate Welsh, Shinichi Kitada, Dominic A. Scudiero, Gabriela Tudor, Anne Monks and Michael Andreeff covering the research area of Molecular Biology. It is primarily cited by scholars working on Molecular Biology (461 citations), Oncology (148 citations) and Epidemiology (75 citations). Published in PubMed.

In The Last Decade

doi.org/w58822650 →

Countries where authors are citing Expression and prognostic significance of IAP-family genes in human cancers and myeloid leukemias.

Specialization
Citations

This map shows the geographic impact of Expression and prognostic significance of IAP-family genes in human cancers and myeloid leukemias.. 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 Expression and prognostic significance of IAP-family genes in human cancers and myeloid leukemias. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Expression and prognostic significance of IAP-family genes in human cancers and myeloid leukemias. more than expected).

Fields of papers citing Expression and prognostic significance of IAP-family genes in human cancers and myeloid leukemias.

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Expression and prognostic significance of IAP-family genes in human cancers and myeloid leukemias.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Expression and prognostic significance of IAP-family genes in human cancers and myeloid leukemias..

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.

This paper is also available at doi.org/w58822650.

Explore hit-papers with similar magnitude of impact

Rankless by CCL
2026