Philip D. Manos

5.4k total citations · 1 hit paper
8 papers, 3.1k citations indexed

About

Philip D. Manos is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Philip D. Manos has authored 8 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Physiology and 1 paper in Cell Biology. Recurrent topics in Philip D. Manos's work include Pluripotent Stem Cells Research (7 papers), CRISPR and Genetic Engineering (7 papers) and Biomedical Ethics and Regulation (2 papers). Philip D. Manos is often cited by papers focused on Pluripotent Stem Cells Research (7 papers), CRISPR and Genetic Engineering (7 papers) and Biomedical Ethics and Regulation (2 papers). Philip D. Manos collaborates with scholars based in United States, Italy and Israel. Philip D. Manos's co-authors include George Q. Daley, Yuin‐Han Loh, Thorsten M. Schlaeger, Derrick J. Rossi, James J. Collins, Wataru Ebina, Pankaj Kumar Mandal, Hu Li, Andrew S. Brack and Zachary D. Smith and has published in prestigious journals such as Nature Genetics, Nature Biotechnology and Nature Cell Biology.

In The Last Decade

Philip D. Manos

8 papers receiving 3.0k citations

Hit Papers

Highly Efficient Reprogramming to Pluripotency and Direct... 2010 2026 2015 2020 2010 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Philip D. Manos United States 7 2.9k 505 502 398 382 8 3.1k
Luigi Warren United States 8 2.3k 0.8× 450 0.9× 372 0.7× 330 0.8× 304 0.8× 10 2.6k
Paul J. Gokhale United Kingdom 23 2.6k 0.9× 512 1.0× 460 0.9× 329 0.8× 229 0.6× 38 2.9k
Wataru Ebina United States 9 2.6k 0.9× 355 0.7× 509 1.0× 446 1.1× 290 0.8× 12 3.0k
Ruth K. Foreman United States 13 4.3k 1.5× 555 1.1× 726 1.4× 624 1.6× 456 1.2× 48 4.7k
Maria Mileikovsky Canada 8 2.4k 0.8× 352 0.7× 456 0.9× 454 1.1× 372 1.0× 11 2.6k
Kitchener D. Wilson United States 25 2.7k 0.9× 481 1.0× 625 1.2× 298 0.7× 273 0.7× 30 3.1k
Cesar Sommer United States 20 2.3k 0.8× 425 0.8× 422 0.8× 457 1.1× 265 0.7× 39 3.0k
Yohei Hayashi Japan 24 3.0k 1.0× 499 1.0× 1.1k 2.3× 299 0.8× 176 0.5× 61 3.6k
Laura Batlle‐Morera Spain 11 3.7k 1.3× 478 0.9× 431 0.9× 508 1.3× 236 0.6× 15 4.0k
Frances A. Brook United Kingdom 17 2.8k 1.0× 299 0.6× 501 1.0× 524 1.3× 163 0.4× 26 3.3k

Countries citing papers authored by Philip D. Manos

Since Specialization
Citations

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

Fields of papers citing papers by Philip D. Manos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip D. Manos

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

All Works

8 of 8 papers shown
1.
Han, Qin, Chibo Hong, José M. Polo, et al.. (2011). Incomplete DNA methylation underlies a transcriptional memory of somatic cells in human iPS cells. Nature Cell Biology. 13(5). 541–549. 456 indexed citations
2.
Manos, Philip D., Sutheera Ratanasirintrawoot, Sabine Loewer, George Q. Daley, & Thorsten M. Schlaeger. (2011). Live‐Cell Immunofluorescence Staining of Human Pluripotent Stem Cells. Current Protocols in Stem Cell Biology. 19(1). Unit 1C.12–Unit 1C.12. 12 indexed citations
3.
Loh, Yuin‐Han, Odelya Hartung, Li Hu, et al.. (2010). Reprogramming of T Cells from Human Peripheral Blood. Cell stem cell. 7(1). 15–19. 221 indexed citations
4.
Loewer, Sabine, Moran N. Cabili, Mitchell Guttman, et al.. (2010). Large intergenic non-coding RNA-RoR modulates reprogramming of human induced pluripotent stem cells. Nature Genetics. 42(12). 1113–1117. 38 indexed citations
5.
Pessach, Itai M., José Ordovás-Montañés, Shen‐Ying Zhang, et al.. (2010). Induced pluripotent stem cells: A novel frontier in the study of human primary immunodeficiencies. Journal of Allergy and Clinical Immunology. 127(6). 1400–1407.e4. 29 indexed citations
6.
Warren, Luigi, Philip D. Manos, Tim Ahfeldt, et al.. (2010). Highly Efficient Reprogramming to Pluripotency and Directed Differentiation of Human Cells with Synthetic Modified mRNA. Cell stem cell. 7(5). 618–630. 1930 indexed citations breakdown →
7.
Collins, G. C., et al.. (2009). Motion-Based Angiogenesis Analysis: A Simple Method to Quantify Blood Vessel Growth. Zebrafish. 6(3). 239–243. 4 indexed citations
8.
Chan, Elayne M., Sutheera Ratanasirintrawoot, In-Hyun Park, et al.. (2009). Live cell imaging distinguishes bona fide human iPS cells from partially reprogrammed cells. Nature Biotechnology. 27(11). 1033–1037. 375 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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