PL Weiden

78 papers and 4.7k indexed citations i.

About

PL Weiden is a scholar working on Hematology, Genetics and Oncology. According to data from OpenAlex, PL Weiden has authored 78 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Hematology, 25 papers in Genetics and 24 papers in Oncology. Recurrent topics in PL Weiden’s work include Hematopoietic Stem Cell Transplantation (49 papers), Mesenchymal stem cell research (23 papers) and Polyomavirus and related diseases (17 papers). PL Weiden is often cited by papers focused on Hematopoietic Stem Cell Transplantation (49 papers), Mesenchymal stem cell research (23 papers) and Polyomavirus and related diseases (17 papers). PL Weiden collaborates with scholars based in United States and South Africa. PL Weiden's co-authors include Thomas Ed, Rainer Storb, CD Buckner, A Fefer, Clift Ra, RP Witherspoon, K Atkinson, BW Goodell, JE Sanders and Nancy Flournoy and has published in prestigious journals such as Blood, The Journal of Immunology and Transplantation.

In The Last Decade

Co-authorship network of co-authors of PL Weiden i

Fields of papers citing papers by PL Weiden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by PL Weiden

Since Specialization
Citations

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