Justin Fishbaugh

546 total citations
11 papers, 485 citations indexed

About

Justin Fishbaugh is a scholar working on Molecular Biology, Genetics and Hematology. According to data from OpenAlex, Justin Fishbaugh has authored 11 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Hematology. Recurrent topics in Justin Fishbaugh's work include Retinoids in leukemia and cellular processes (7 papers), Protein Degradation and Inhibitors (3 papers) and RNA Interference and Gene Delivery (2 papers). Justin Fishbaugh is often cited by papers focused on Retinoids in leukemia and cellular processes (7 papers), Protein Degradation and Inhibitors (3 papers) and RNA Interference and Gene Delivery (2 papers). Justin Fishbaugh collaborates with scholars based in United States and Italy. Justin Fishbaugh's co-authors include Andrew Yen, D. W. Peckham, Laura L. Stunz, Robert F. Ashman, Ann Tomanek‐Chalkley, Martine Dunnwald, Jackie R. Bickenbach, Andrew Yen, M. Elizabeth Forbes and Robert T. Cook and has published in prestigious journals such as The Journal of Immunology, Experimental Cell Research and Experimental Dermatology.

In The Last Decade

Justin Fishbaugh

11 papers receiving 476 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Justin Fishbaugh United States 9 316 124 69 66 59 11 485
Angela Kwong United States 6 475 1.5× 51 0.4× 33 0.5× 91 1.4× 135 2.3× 8 593
Hisako Muramatsu Japan 8 327 1.0× 128 1.0× 75 1.1× 123 1.9× 55 0.9× 8 519
Daniel E. Webster United States 7 584 1.8× 122 1.0× 121 1.8× 56 0.8× 22 0.4× 8 757
Iordanka A. Ivanova Canada 14 262 0.8× 54 0.4× 128 1.9× 86 1.3× 35 0.6× 21 497
Inderpreet Sur Sweden 12 933 3.0× 127 1.0× 163 2.4× 64 1.0× 43 0.7× 17 1.2k
Gerhard Rank Australia 9 895 2.8× 59 0.5× 79 1.1× 93 1.4× 50 0.8× 12 1.1k
Hai Hu United States 7 208 0.7× 125 1.0× 115 1.7× 194 2.9× 120 2.0× 9 564
J Meneses United States 5 348 1.1× 104 0.8× 45 0.7× 164 2.5× 33 0.6× 8 632
Takahiro Aoto Japan 8 484 1.5× 64 0.5× 101 1.5× 145 2.2× 27 0.5× 12 697
Peter J. Cook United States 7 605 1.9× 58 0.5× 147 2.1× 77 1.2× 14 0.2× 9 804

Countries citing papers authored by Justin Fishbaugh

Since Specialization
Citations

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

Fields of papers citing papers by Justin Fishbaugh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Justin Fishbaugh

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

All Works

11 of 11 papers shown
1.
Dunnwald, Martine, et al.. (2001). Isolating a pure population of epidermal stem cells for use in tissue engineering. Experimental Dermatology. 10(1). 45–54. 116 indexed citations
2.
Peckham, D. W., et al.. (1994). Decreased membrane phospholipid packing and decreased cell size precede DNA cleavage in mature mouse B cell apoptosis.. The Journal of Immunology. 152(10). 4832–4842. 145 indexed citations
3.
Cook, Robert T., et al.. (1990). ETHANOL INDUCED GROWTH INHIBITION AND GROWTH ADAPTATION <italic>IN VITRO</italic> . CELL CYCLE DELAY IN LATE G1. Alcohol and Alcoholism. 25(1). 33–43. 27 indexed citations
4.
Yen, Andrew, et al.. (1988). Induction of HL-60 monocytic cell differentiation promoted by a perturbation of DMA synthesis: Hydroxyurea promotes action of TPA. Experimental Cell Research. 174(1). 98–106. 11 indexed citations
5.
Yen, Andrew, et al.. (1987). Precommitment states induced during HL-60 myeloid differentiation: Possible similarities of retinoic acid- and DMSO-induced early events. Experimental Cell Research. 173(1). 80–84. 19 indexed citations
6.
Yen, Andrew, et al.. (1987). Control of HL-60 monocytic differentiation. Experimental Cell Research. 168(1). 247–254. 35 indexed citations
8.
Yen, Andrew, et al.. (1987). Control of HL-60 cell differentiation lineage specificity, a late event occurring after precommitment.. PubMed. 47(1). 129–34. 74 indexed citations
9.
Yen, Andrew, et al.. (1986). Retinoic acid induced HL-60 myeloid differentiation: Dependence of early and late events on isomeric structure. Leukemia Research. 10(6). 619–629. 27 indexed citations
10.
Yen, Andrew, et al.. (1986). Cell cycle dependence of calmodulin levels during HL-60 proliferation and myeloid differentiation. Experimental Cell Research. 165(1). 139–151. 8 indexed citations
11.
Yen, Andrew, et al.. (1985). Myeloid differentiation-inducing factors produced by pokeweed mitogen-treated normal G1/0 lymphocytes but not chronic lymphocytic leukemia cells.. PubMed. 45(9). 4060–6. 5 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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