Joel D. Pearson

1.0k citations
17 papers · 345 · h-index 11

Impact in

Papers in

    • Ubiquitin and proteasome pathways 2
    • RNA Research and Splicing 2
    • Cancer-related Molecular Pathways 3
    • Cancer Cells and Metastasis 2

Joel D. Pearson

15 papers receiving 338 citations

Peers

Joel D. Pearson
Comparison fields: 5 of 58
  • Oncology 128
  • Pathology and Forensic Medicine 48
  • Cancer Research 40
  • Pulmonary and Respiratory Medicine 83
  • Ophthalmology 20
Replace S. Majewski with:
S. Majewski Poland
Li Weng United States
Cyril Maire France
Meng‐Hang Yang China
Agnieszka Synowiec Poland
Piotr Łacina Poland
A. Costa Italy
Jennifer R. Ribeiro United States
Langzhu Tan United States
Y. Takai Japan
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Citations per field
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S. Majewski · 1×
Citations per year

Countries citing papers authored by Joel D. Pearson

Since Specialization
Citations

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

Fields of papers citing papers by Joel D. Pearson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Joel D. Pearson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Joel D. Pearson Line = papers co-authored together Joel D. Pearson links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 202281
2 201242
3 201235
4 201233
5 202028
6 199324
7 199022
8 200921
9
NPM-ALK and the JunB transcription factor regulate the expression of cytotoxic molecules in ALK-positive, anaplastic large cell lymphoma.
201120
10 202217
11 201411
12 20255
13 20213
14 20212
15 20211
16 20250
17 20130

About Joel D. Pearson

Joel D. Pearson is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Immunology, having authored 17 papers that have together received 345 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Cancer Genomics and Diagnostics (2 papers), Ubiquitin and proteasome pathways (2 papers), Trace Elements in Health (2 papers), Cancer Cells and Metastasis (2 papers), RNA Research and Splicing (2 papers) and Hippo pathway signaling and YAP/TAZ (2 papers). The work is most often cited by research in Oncology (128 citations), Pathology and Forensic Medicine (48 citations), Cancer Research (40 citations), Pulmonary and Respiratory Medicine (83 citations) and Ophthalmology (20 citations). Joel D. Pearson has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Robert J. Ingham, James Koropatnick, Raymond Lai, Julinor Bacani, Rod Bremner, Jason K. H. Lee, Daniel Schramek, Yupo Ma, Agnieszka K. Witkiewicz and Vishnu Kumarasamy. Their work appears in journals such as Cell Reports, Blood Cancer Journal, Molecular Pharmacology, Oncogene and Nature.

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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