Sandra Z. Haslam

118 total papers · 6.2k total citations
95 papers, 4.9k citations indexed

About

Sandra Z. Haslam is a scholar working on Genetics, Oncology and Molecular Biology. According to data from OpenAlex, Sandra Z. Haslam has authored 95 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Genetics, 57 papers in Oncology and 20 papers in Molecular Biology. Recurrent topics in Sandra Z. Haslam's work include Estrogen and related hormone effects (49 papers), Cancer Cells and Metastasis (29 papers) and Cancer Risks and Factors (17 papers). Sandra Z. Haslam is often cited by papers focused on Estrogen and related hormone effects (49 papers), Cancer Cells and Metastasis (29 papers) and Cancer Risks and Factors (17 papers). Sandra Z. Haslam collaborates with scholars based in United States, Canada and India. Sandra Z. Haslam's co-authors include Mark D. Aupperlee, G. Shyamala, William G. Helferich, Ching‐Yi Hsieh, Ross Santell, Terry L. Woodward, Ahmed Raafat, Janet R. Osuch, Anastasia Kariagina and Roderick T. Bronson and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and The Journal of Cell Biology.

In The Last Decade

Sandra Z. Haslam

94 papers receiving 4.8k citations

Hit Papers

Cyclin D1 provides a link... 1995 2026 2005 2015 1995 1998 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Sandra Z. Haslam 2.6k 2.2k 1.9k 642 600 95 4.9k
Anders Ström 1.5k 0.6× 2.9k 1.3× 2.4k 1.3× 815 1.3× 529 0.9× 68 5.4k
J. Russo 2.5k 1.0× 1.8k 0.8× 1.7k 0.9× 992 1.5× 432 0.7× 100 4.7k
Kara L. Britt 1.3k 0.5× 1.7k 0.8× 1.5k 0.8× 653 1.0× 325 0.5× 72 5.4k
Steven J. Santner 1.4k 0.6× 2.4k 1.1× 2.1k 1.1× 697 1.1× 311 0.5× 69 4.6k
Françoise Vignon 1.4k 0.5× 1.9k 0.9× 2.3k 1.2× 938 1.5× 227 0.4× 76 4.5k
Gwendal Lazennec 2.3k 0.9× 2.0k 0.9× 2.4k 1.3× 836 1.3× 336 0.6× 69 5.6k
Shin‐ichi Hayashi 1.4k 0.5× 1.3k 0.6× 3.0k 1.6× 846 1.3× 455 0.8× 91 4.9k
A. E. Wakeling 2.9k 1.1× 3.6k 1.6× 3.1k 1.7× 993 1.5× 257 0.4× 72 6.8k
Barbara K. Vonderhaar 1.9k 0.7× 1.6k 0.7× 2.2k 1.2× 665 1.0× 172 0.3× 114 4.7k
Martin Tenniswood 2.0k 0.8× 824 0.4× 2.7k 1.4× 812 1.3× 677 1.1× 129 5.6k

Countries citing papers authored by Sandra Z. Haslam

Since Specialization
Citations

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

Fields of papers citing papers by Sandra Z. Haslam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sandra Z. Haslam. 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 Sandra Z. Haslam. The network helps show where Sandra Z. Haslam may publish in the future.

Co-authorship network of co-authors of Sandra Z. Haslam

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

All Works

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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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