M Pearce

519 total citations
11 papers, 449 citations indexed

About

M Pearce is a scholar working on Molecular Biology, Oncology and Emergency Medicine. According to data from OpenAlex, M Pearce has authored 11 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Oncology and 2 papers in Emergency Medicine. Recurrent topics in M Pearce's work include Cytokine Signaling Pathways and Interactions (6 papers), 14-3-3 protein interactions (4 papers) and Ubiquitin and proteasome pathways (2 papers). M Pearce is often cited by papers focused on Cytokine Signaling Pathways and Interactions (6 papers), 14-3-3 protein interactions (4 papers) and Ubiquitin and proteasome pathways (2 papers). M Pearce collaborates with scholars based in United States, Chile and Italy. M Pearce's co-authors include William L. Blalock, James A. McCubrey, Richard A. Franklin, Peter M. Guzy, Sheldon Greenfield, Martin McMahon, Linda S. Steelman, Fuju Chang, Holly Cherwinski and Sean A. McCarthy and has published in prestigious journals such as Oncogene, American Journal of Public Health and Leukemia.

In The Last Decade

M Pearce

11 papers receiving 429 citations

Peers

M Pearce

MB

ONCOL

EM

OC

HEMAT

Ashwin Sridharan United States

Marc Spentchian France

Kavita Natarajan United States

Jason R. Schwartz United States

Canping Ruan China

Ari Pelcovits United States

Emanuela Messa Italy

Michael G. Douvas United States

L Tschopp Switzerland

Ligen Liu China

Ashwin Sridharan United States

M Pearce

132 ×0.4

MB

96 ×0.6

ONCOL

12 ×0.1

EM

8 ×0.1

OC

78 ×1.4

HEMAT

Citations per year, relative to M Pearce M Pearce (= 1×) peers Ashwin Sridharan

Countries citing papers authored by M Pearce

Since Specialization

Citations

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

Fields of papers citing papers by M Pearce

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Pearce

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

All Works

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11 of 11 papers shown

1.

McCubrey, James A., Linda S. Steelman, William L. Blalock, et al.. (2001). Synergistic effects of pi3k/akt on abrogation of cytokine-dependency induced by oncogenic raf. Advances in Enzyme Regulation. 41(1). 289–323. 20 indexed citations

2.

McCubrey, James A., William L. Blalock, M Pearce, et al.. (2001). Enhanced ability of daniplestim and myelopoietin-1 to suppress apoptosis in human hematopoietic cells. Leukemia. 15(8). 1203–1216. 9 indexed citations

3.

Blalock, William L., M Pearce, Fuju Chang, et al.. (2001). Effects of inducible MEK1 activation on the cytokine dependency of lymphoid cells. Leukemia. 15(5). 794–807. 33 indexed citations

4.

McCubrey, James A., Linda S. Steelman, William L. Blalock, et al.. (2001). Interactions between the PI3K and Raf signaling pathways can result in the transformation of hematopoietic cells.. PubMed. 25(4). 375–93. 55 indexed citations

5.

Blalock, William L., M Pearce, Linda S. Steelman, et al.. (2000). A conditionally-active form of MEK1 results in autocrine transformation of human and mouse hematopoietic cells. Oncogene. 19(4). 526–536. 68 indexed citations

6.

McCubrey, James A., Linda S. Steelman, Caroline Weinstein‐Oppenheimer, et al.. (2000). Effects of deregulated RAF and MEK1 expression on the cytokine-dependency of hematopoietic cells. Advances in Enzyme Regulation. 40(1). 305–337. 21 indexed citations

7.

Blalock, William L., Richard A. Franklin, M Pearce, et al.. (2000). Differential abilities of the Raf family of protein kinases to abrogate cytokine dependency and prevent apoptosis in murine hematopoietic cells by a MEK1-dependent mechanism. Leukemia. 14(4). 642–656. 78 indexed citations

8.

Blalock, William L., Fuju Chang, M Pearce, et al.. (2000). Combined effects of aberrant MEK1 activity and BCL2 overexpression on relieving the cytokine dependency of human and murine hematopoietic cells. Leukemia. 14(6). 1080–1096. 39 indexed citations

9.

Blalock, William L., Fuju Chang, Richard A. Franklin, et al.. (2000). Synergy between Raf and BCL2 in abrogating the cytokine dependency of hematopoietic cells. Leukemia. 14(6). 1060–1079. 30 indexed citations

10.

Hudak, S, et al.. (1992). Anti-IL-6 antibodies suppress myeloid cell production and the generation of CFU-c in long-term bone marrow cultures.. PubMed. 20(4). 412–7. 10 indexed citations

11.

Guzy, Peter M., M Pearce, & Sheldon Greenfield. (1983). The survival benefit of bystander cardiopulmonary resuscitation in a paramedic served metropolitan area.. American Journal of Public Health. 73(7). 766–769. 86 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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