Archibald S. Perkins

3.8k total citations
42 papers, 2.3k citations indexed

About

Archibald S. Perkins is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Archibald S. Perkins has authored 42 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 21 papers in Hematology and 10 papers in Oncology. Recurrent topics in Archibald S. Perkins's work include Acute Myeloid Leukemia Research (18 papers), Protein Degradation and Inhibitors (7 papers) and Epigenetics and DNA Methylation (6 papers). Archibald S. Perkins is often cited by papers focused on Acute Myeloid Leukemia Research (18 papers), Protein Degradation and Inhibitors (7 papers) and Epigenetics and DNA Methylation (6 papers). Archibald S. Perkins collaborates with scholars based in United States, France and United Kingdom. Archibald S. Perkins's co-authors include Luis F. Parada, Lino Tessarollo, David Sassoon, Brian R. Stanton, Neal G. Copeland, Yi Zhang, N A Jenkins, Kristine S. Vogel, S. W. J. Reid and Michael L. Nordlund and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Archibald S. Perkins

42 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Archibald S. Perkins United States 22 1.2k 425 417 402 346 42 2.3k
Carmel M. Lynch United States 13 1.1k 0.9× 990 2.3× 201 0.5× 178 0.4× 826 2.4× 22 2.5k
Chad M. McCall United States 20 964 0.8× 947 2.2× 152 0.4× 380 0.9× 115 0.3× 39 2.1k
Teresita Díaz de Ståhl Sweden 23 810 0.7× 201 0.5× 139 0.3× 142 0.4× 607 1.8× 50 1.7k
Misao Ohki Japan 37 3.1k 2.6× 606 1.4× 1.3k 3.0× 133 0.3× 614 1.8× 79 4.3k
Anand S. Lagoo United States 28 951 0.8× 766 1.8× 793 1.9× 213 0.5× 101 0.3× 70 2.8k
Nobuyuki Ohguro Japan 29 587 0.5× 237 0.6× 124 0.3× 190 0.5× 99 0.3× 69 2.6k
Tetsuji Kobata Japan 34 898 0.8× 542 1.3× 310 0.7× 276 0.7× 294 0.8× 82 3.9k
Lyn Healy United Kingdom 27 1.3k 1.1× 714 1.7× 675 1.6× 64 0.2× 204 0.6× 59 2.7k
Johanne Kaplan United States 28 1.4k 1.2× 670 1.6× 131 0.3× 187 0.5× 933 2.7× 75 3.0k
Dennis D. Hickstein United States 33 2.0k 1.7× 423 1.0× 1.1k 2.6× 155 0.4× 1.1k 3.1× 118 3.9k

Countries citing papers authored by Archibald S. Perkins

Since Specialization
Citations

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

Fields of papers citing papers by Archibald S. Perkins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Archibald S. Perkins. 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 Archibald S. Perkins. The network helps show where Archibald S. Perkins may publish in the future.

Co-authorship network of co-authors of Archibald S. Perkins

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

All Works

20 of 20 papers shown
1.
Mailhé, Marie-Pierre, João P. Pereira, Emanuele Azzoni, et al.. (2025). Spatiotemporal dynamics of fetal liver hematopoietic niches. The Journal of Experimental Medicine. 222(2). 4 indexed citations
2.
Christodoulou, Constantina, Joel A. Spencer, Shu-Chi Yeh, et al.. (2020). Live-animal imaging of native haematopoietic stem and progenitor cells. Nature. 578(7794). 278–283. 172 indexed citations
3.
Sun, Rongli, et al.. (2020). Prdm3 and Prdm16 cooperatively maintain hematopoiesis and clonogenic potential. Experimental Hematology. 85. 20–32.e3. 6 indexed citations
4.
Malek, Adel, Samantha Taffner, Lynn Fine, et al.. (2019). Next-Generation-Sequencing-Based Hospital Outbreak Investigation Yields Insight into Klebsiella aerogenes Population Structure and Determinants of Carbapenem Resistance and Pathogenicity. Antimicrobial Agents and Chemotherapy. 63(6). 36 indexed citations
5.
Ayoub, Edward, Michael P. Wilson, Kathleen E. McGrath, et al.. (2018). EVI1 overexpression reprograms hematopoiesis via upregulation of Spi1 transcription. Nature Communications. 9(1). 4239–4239. 37 indexed citations
6.
Bard-Chapeau, Emilie A., Dorota Szumska, Bindya Jacob, et al.. (2014). Mice Carrying a Hypomorphic Evi1 Allele Are Embryonic Viable but Exhibit Severe Congenital Heart Defects. PLoS ONE. 9(2). e89397–e89397. 21 indexed citations
7.
Glass, Carolyn, et al.. (2014). The role of EVI1 in myeloid malignancies. Blood Cells Molecules and Diseases. 53(1-2). 67–76. 48 indexed citations
8.
Zhang, Yi, Kristina M. Owens, Carolyn Glass, et al.. (2013). Essential role of PR-domain protein MDS1-EVI1 in MLL-AF9 leukemia. Blood. 122(16). 2888–2892. 15 indexed citations
9.
Juneja, Subhash C., Alin Vonica, Caroline J. Zeiss, et al.. (2013). Deletion of Mecom in mouse results in early-onset spinal deformity and osteopenia. Bone. 60. 148–161. 17 indexed citations
10.
Zhang, Yi, Sandra Stehling-Sun, Kimberly Lezon-Geyda, et al.. (2011). PR-domain–containing Mds1-Evi1 is critical for long-term hematopoietic stem cell function. Blood. 118(14). 3853–3861. 81 indexed citations
11.
Jackson-Fisher, Amy, Gary Bellinger, Elaine Shum, et al.. (2006). Formation of Neu/ErbB2-induced mammary tumors is unaffected by loss of ErbB4. Oncogene. 25(41). 5664–5672. 19 indexed citations
12.
Fan, Kai, et al.. (2005). Sox4 cooperates with Evi1 in AKXD-23 myeloid tumors via transactivation of proviral LTR. Blood. 107(2). 733–741. 41 indexed citations
13.
Oike, Yuichi, Atsushi Iwama, Daisuke Sugiyama, et al.. (2004). Oncogenic Transcription Factor Evi1 Regulates Hematopoietic Stem Cell Proliferation through GATA-2 Expression.. Blood. 104(11). 228–228. 3 indexed citations
14.
Kluger, Harriet M., Yuval Kluger, Maureen Gilmore-Hebert, et al.. (2004). cDNA microarray analysis of invasive and tumorigenic phenotypes in a breast cancer model. Laboratory Investigation. 84(3). 320–331. 62 indexed citations
15.
Amin, Dhara N., Archibald S. Perkins, & David F. Stern. (2003). Gene expression profiling of ErbB receptor and ligand-dependent transcription. Oncogene. 23(7). 1428–1438. 16 indexed citations
16.
Hui, Pei, Earl J. Glusac, John H. Sinard, & Archibald S. Perkins. (2002). Clonal analysis of cutaneous fibrous histiocytoma (dermatofibroma). Journal of Cutaneous Pathology. 29(7). 385–389. 27 indexed citations
17.
Chatterjee, Gouri, Andrea Rosner, Yi Han, et al.. (2002). Acceleration of Mouse Mammary Tumor Virus-Induced Murine Mammary Tumorigenesis by a p53172H Transgene. American Journal Of Pathology. 161(6). 2241–2253. 15 indexed citations
18.
Li, Baolin, et al.. (2001). Cooperating Oncogenic Events in Murine Mammary Tumorigenesis: Assessment of ErbB2, Mutant p53, and Mouse Mammary Tumor Virus. Experimental and Molecular Pathology. 70(3). 183–193. 7 indexed citations
19.
Kim, Jeong Han, et al.. (1998). Identification of candidate target genes for EVI-1, a zinc finger oncoprotein, using a novel selection strategy. Oncogene. 17(12). 1527–1538. 11 indexed citations
20.
Skalnik, David G., et al.. (1991). Targeting of transgene expression to monocyte/macrophages by the gp91-phox promoter and consequent histiocytic malignancies.. Proceedings of the National Academy of Sciences. 88(19). 8505–8509. 52 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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