Adam J. Pearson

762 total citations
10 papers, 583 citations indexed

About

Adam J. Pearson is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Adam J. Pearson has authored 10 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Immunology and 2 papers in Oncology. Recurrent topics in Adam J. Pearson's work include Melanoma and MAPK Pathways (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Musculoskeletal pain and rehabilitation (1 paper). Adam J. Pearson is often cited by papers focused on Melanoma and MAPK Pathways (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Musculoskeletal pain and rehabilitation (1 paper). Adam J. Pearson collaborates with scholars based in United States, United Kingdom and Italy. Adam J. Pearson's co-authors include Monty Krieger, D. Resnick, Marsha Penman, Susan Acton, John Ashkenas, Emanuele Giurisato, Cathy Tournier, Qiuping Xu, Katherine G. Finegan and Brian A. Telfer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Reviews Drug Discovery.

In The Last Decade

Adam J. Pearson

10 papers receiving 571 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adam J. Pearson United States 8 325 214 72 66 58 10 583
Stacy Mazzalupo United States 14 88 0.3× 527 2.5× 37 0.5× 40 0.6× 25 0.4× 15 851
Carine M. Mounier France 17 126 0.4× 464 2.2× 15 0.2× 36 0.5× 44 0.8× 24 919
Pushpak Bhattacharjee India 14 243 0.7× 452 2.1× 16 0.2× 60 0.9× 113 1.9× 22 862
David I. Wilkinson United States 15 266 0.8× 195 0.9× 14 0.2× 39 0.6× 58 1.0× 35 722
G Massa Argentina 12 107 0.3× 267 1.2× 26 0.4× 22 0.3× 47 0.8× 39 574
R. Wanner Germany 20 326 1.0× 377 1.8× 11 0.2× 12 0.2× 63 1.1× 35 1.0k
Hitoshi Kudo Japan 10 52 0.2× 438 2.0× 46 0.6× 42 0.6× 21 0.4× 20 654
Paul T. Manna United Kingdom 15 102 0.3× 380 1.8× 46 0.6× 30 0.5× 16 0.3× 23 785
Samia Esmat Egypt 19 171 0.5× 93 0.4× 9 0.1× 50 0.8× 22 0.4× 48 902
Pierre Carraux Switzerland 16 60 0.2× 242 1.1× 24 0.3× 49 0.7× 58 1.0× 29 801

Countries citing papers authored by Adam J. Pearson

Since Specialization
Citations

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

Fields of papers citing papers by Adam J. Pearson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adam J. Pearson. 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 Adam J. Pearson. The network helps show where Adam J. Pearson may publish in the future.

Co-authorship network of co-authors of Adam J. Pearson

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

All Works

10 of 10 papers shown
1.
Zhang, Jingwei, Adam J. Pearson, Nitin Sabherwal, et al.. (2022). Inhibiting ERK5 Overcomes Breast Cancer Resistance to Anti-HER2 Therapy By Targeting the G1–S Cell-Cycle Transition. Cancer Research Communications. 2(3). 131–145. 5 indexed citations
2.
Pearson, Adam J., et al.. (2022). Mapping the purple menace: spatiotemporal distribution of purple loosestrife (Lythrum salicaria) along roadsides in northern New York State. Scientific Reports. 12(1). 5270–5270. 2 indexed citations
4.
Pearson, Adam J., et al.. (2021). The most successful oncology drug portfolios of the past decade. Nature Reviews Drug Discovery. 20(11). 811–812. 10 indexed citations
5.
Pearson, Adam J., Ian Prise, Michael P. Smith, et al.. (2020). Discovery of a Gatekeeper Residue in the C-Terminal Tail of the Extracellular Signal-Regulated Protein Kinase 5 (ERK5). International Journal of Molecular Sciences. 21(3). 929–929. 9 indexed citations
6.
Giurisato, Emanuele, Qiuping Xu, Silvia Lonardi, et al.. (2018). Myeloid ERK5 deficiency suppresses tumor growth by blocking protumor macrophage polarization via STAT3 inhibition. Proceedings of the National Academy of Sciences. 115(12). E2801–E2810. 77 indexed citations
7.
Howarth, Samuel J., Tyson A.C. Beach, Adam J. Pearson, & Jack P. Callaghan. (2008). Using sitting as a component of job rotation strategies: Are lifting/lowering kinetics and kinematics altered following prolonged sitting. Applied Ergonomics. 40(3). 433–439. 24 indexed citations
8.
Pomfrett, C.J.D. & Adam J. Pearson. (1998). EEG monitoring using bispectral analysis. Engineering Science and Education Journal. 7(4). 155–157. 7 indexed citations
9.
Pearson, Adam J., et al.. (1995). Expression cloning of dSR-CI, a class C macrophage-specific scavenger receptor from Drosophila melanogaster.. Proceedings of the National Academy of Sciences. 92(9). 4056–4060. 200 indexed citations
10.
Krieger, Monty, Susan Acton, John Ashkenas, et al.. (1993). Molecular flypaper, host defense, and atherosclerosis. Structure, binding properties, and functions of macrophage scavenger receptors.. Journal of Biological Chemistry. 268(7). 4569–4572. 233 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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