Mary MacPartlin

522 total citations
8 papers, 382 citations indexed

About

Mary MacPartlin is a scholar working on Genetics, Hematology and Molecular Biology. According to data from OpenAlex, Mary MacPartlin has authored 8 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 5 papers in Hematology and 3 papers in Molecular Biology. Recurrent topics in Mary MacPartlin's work include Chronic Lymphocytic Leukemia Research (5 papers), Chronic Myeloid Leukemia Treatments (5 papers) and Lymphoma Diagnosis and Treatment (2 papers). Mary MacPartlin is often cited by papers focused on Chronic Lymphocytic Leukemia Research (5 papers), Chronic Myeloid Leukemia Treatments (5 papers) and Lymphoma Diagnosis and Treatment (2 papers). Mary MacPartlin collaborates with scholars based in United States, Australia and Germany. Mary MacPartlin's co-authors include Gregory S. Yochum, Richard H. Goodman, Brian Druker, Michael W. Deininger, Shelya X. Zeng, Hua Lu, Kimberly A. Lee, Roberto D. Polakiewicz, Kara Johnson and Eric P. Stoffregen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

In The Last Decade

Mary MacPartlin

8 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mary MacPartlin United States	6	229	193	153	113	84	8	382
Helena Ågerstam Sweden	11	362 1.6×	156 0.8×	182 1.2×	91 0.8×	155 1.8×	20	574
G. García-Manero United States	8	139 0.6×	162 0.8×	111 0.7×	25 0.2×	64 0.8×	24	329
Nicole Duclos United States	8	323 1.4×	161 0.8×	326 2.1×	43 0.4×	84 1.0×	9	551
Mayuka Nakatake Japan	9	238 1.0×	226 1.2×	246 1.6×	71 0.6×	61 0.7×	14	431
Eva Eckelhart Austria	8	248 1.1×	173 0.9×	175 1.1×	66 0.6×	177 2.1×	8	592
N Smadja France	9	332 1.4×	124 0.6×	243 1.6×	28 0.2×	104 1.2×	17	440
G Q Daley United States	5	513 2.2×	345 1.8×	194 1.3×	166 1.5×	110 1.3×	5	641
Danielle Cain United States	4	254 1.1×	161 0.8×	154 1.0×	119 1.1×	178 2.1×	4	455
Jason C. Paik United States	9	62 0.3×	102 0.5×	209 1.4×	48 0.4×	144 1.7×	16	378
Jutta Proba Germany	6	127 0.6×	67 0.3×	161 1.1×	29 0.3×	139 1.7×	6	341

Countries citing papers authored by Mary MacPartlin

Since Specialization

Citations

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

Fields of papers citing papers by Mary MacPartlin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mary MacPartlin

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

All Works

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8 of 8 papers shown

Yochum, Gregory S., et al.. (2009). A β-catenin/TCF-coordinated chromatin loop at MYC integrates 5′ and 3′ Wnt responsive enhancers. Proceedings of the National Academy of Sciences. 107(1). 145–150. 75 indexed citations

McWeeney, Shannon K., Lucy Pemberton, Marc Loriaux, et al.. (2009). A gene expression signature of CD34+ cells to predict major cytogenetic response in chronic-phase chronic myeloid leukemia patients treated with imatinib. Blood. 115(2). 315–325. 86 indexed citations

MacPartlin, Mary, Ashley M. Smith, Brian Druker, Lee Honigberg, & Michael W. Deininger. (2008). Bruton's tyrosine kinase is not essential for Bcr-Abl-mediated transformation of lymphoid or myeloid cells. Leukemia. 22(7). 1354–1360. 9 indexed citations

MacPartlin, Mary, Shelya X. Zeng, & Hua Lu. (2008). Phosphorylation and Stabilization of TAp63γ by IκB Kinase-β. Journal of Biological Chemistry. 283(23). 15754–15761. 18 indexed citations

MacPartlin, Mary, Lee Honigberg, Brian Druker, & Michael W. Deininger. (2007). Bruton’s Tyrosine Kinase (BTK) Is Not Required for BCR-ABL-Mediated Transformation of Hematopoietic Cells.. Blood. 110(11). 1015–1015. 1 indexed citations

MacPartlin, Mary, Thomas O’Hare, Thomas G.P. Bumm, et al.. (2006). Kinase Domain Mutants of Bcr-Abl Exhibit Altered Transformation Potency, Kinase Activity, and Substrate Utilization, Irrespective of Sensitivity to Imatinib.. Blood. 108(11). 4796–4796. 2 indexed citations

Griswold, Ian J., Mary MacPartlin, Thomas G.P. Bumm, et al.. (2006). Kinase Domain Mutants of Bcr-Abl Exhibit Altered Transformation Potency, Kinase Activity, and Substrate Utilization, Irrespective of Sensitivity to Imatinib. Molecular and Cellular Biology. 26(16). 6082–6093. 152 indexed citations

MacPartlin, Mary, Shelya X. Zeng, Hunjoo Lee, et al.. (2005). p300 Regulates p63 Transcriptional Activity. Journal of Biological Chemistry. 280(34). 30604–30610. 39 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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