Alex Pearson

2.6k total citations · 1 hit paper
22 papers, 1.3k citations indexed

About

Alex Pearson is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Alex Pearson has authored 22 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Genetics and 7 papers in Cancer Research. Recurrent topics in Alex Pearson's work include Fibroblast Growth Factor Research (9 papers), Advanced Breast Cancer Therapies (3 papers) and Genomic variations and chromosomal abnormalities (3 papers). Alex Pearson is often cited by papers focused on Fibroblast Growth Factor Research (9 papers), Advanced Breast Cancer Therapies (3 papers) and Genomic variations and chromosomal abnormalities (3 papers). Alex Pearson collaborates with scholars based in United Kingdom, United States and Netherlands. Alex Pearson's co-authors include Nicholas C. Turner, Rachel Sharpe, Alan Ashworth, Rachael Natrajan, Alan Mackay, Jorge S. Reis‐Filho, Felipe C. Geyer, Elizabeth Iorns, Maryou Lambros and Andrew Tutt and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

Alex Pearson

22 papers receiving 1.3k citations

Hit Papers

FGFR1 Amplification Drives Endocrine Therapy Resistance a... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers

Alex Pearson
Comparison fields: 5 of 87
  • Molecular Biology 872
  • Oncology 530
  • Cancer Research 439
  • Pulmonary and Respiratory Medicine 307
  • Genetics 160
Replace Alice Meng with:
Alice Meng Canada
Jens Packeisen Germany
Marcin Krzystanek Denmark
Changxian Shen United States
Collin Tokheim United States
Richard K. Rosenberg United States
Brian Cao United States
Holger Dieterich Switzerland
Mirjam C. Boelens Netherlands
Alexander Penson United States
Alice Meng Canada View profile →
Citations per field, relative to Alex Pearson
Alex Pearson · 1×
Citations per year, relative to Alex Pearson
Alex Pearson · 1×

Countries citing papers authored by Alex Pearson

Since Specialization
Citations

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

Fields of papers citing papers by Alex Pearson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alex Pearson

This figure shows the co-authorship network connecting the top 25 collaborators of Alex Pearson. A scholar is included among the top collaborators of Alex 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 Alex Pearson. Alex Pearson 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
# Work Indexed citations
1 21
2 5
3 4
4 12
5 4
6 15
7 2
8 6
9 18
10 1
11 98
12 28
13 144
14
FGFR1 Amplification Drives Endocrine Therapy Resistance and Is a Therapeutic Target in Breast Cancer breakdown →
544
15 322
16 1
17 1
18 13
19 16
20 9

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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