Paul Fordjour

1.0k total citations
3 papers, 140 citations indexed

About

Paul Fordjour is a scholar working on Molecular Biology, Oncology and Computational Theory and Mathematics. According to data from OpenAlex, Paul Fordjour has authored 3 papers receiving a total of 140 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 1 paper in Oncology and 1 paper in Computational Theory and Mathematics. Recurrent topics in Paul Fordjour's work include Genomics and Chromatin Dynamics (1 paper), Retinoids in leukemia and cellular processes (1 paper) and Genetics and Neurodevelopmental Disorders (1 paper). Paul Fordjour is often cited by papers focused on Genomics and Chromatin Dynamics (1 paper), Retinoids in leukemia and cellular processes (1 paper) and Genetics and Neurodevelopmental Disorders (1 paper). Paul Fordjour collaborates with scholars based in United States. Paul Fordjour's co-authors include Dmitri Wiederschain, Rebecca Mosher, Michael Morrissey, Christoph Lengauer, James Deeds, John D. Benson, John A. Taraszka, Lin Chen, Brett V. Johnson and Yan Wang and has published in prestigious journals such as Molecular and Cellular Biology and Cancer Research.

In The Last Decade

Paul Fordjour

3 papers receiving 136 citations

Peers

Paul Fordjour
Ji-Rong Sun United States
Veronica Gil United Kingdom
Ramona Crescenzo United States
Heba Ijaz United States
Florence Gay Singapore
L. Qiu China
Haoxuan Tong United States
Lee Bergman Australia
Ji-Rong Sun United States
Paul Fordjour
Citations per year, relative to Paul Fordjour Paul Fordjour (= 1×) peers Ji-Rong Sun

Countries citing papers authored by Paul Fordjour

Since Specialization
Citations

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

Fields of papers citing papers by Paul Fordjour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Fordjour

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

All Works

3 of 3 papers shown
1.
Delach, Scott, Paul Fordjour, Yun Feng, et al.. (2019). Abstract LB-114: RAF inhibitor LXH254 effectively inhibits B-and-CRAF, but not ARAF. Cancer Research. 79(13_Supplement). LB–114. 2 indexed citations
2.
Jagani, Zainab, Dmitri Wiederschain, Alice Loo, et al.. (2010). The Polycomb Group Protein Bmi-1 Is Essential for the Growth of Multiple Myeloma Cells. Cancer Research. 70(13). 5528–5538. 48 indexed citations
3.
Wiederschain, Dmitri, Lin Chen, Brett V. Johnson, et al.. (2007). Contribution of Polycomb Homologues Bmi-1 and Mel-18 to Medulloblastoma Pathogenesis. Molecular and Cellular Biology. 27(13). 4968–4979. 90 indexed citations

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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