Donna McEachern

7.5k citations
72 papers · 4.1k indexed · 1 hit paper · h-index 33
  • Oncology top 2%
    • Peptidase Inhibition and Analysis 14
    • Cancer-related Molecular Pathways 13
    • Cancer Cells and Metastasis 5
  • Hematology top 2%
    • Multiple Myeloma Research and Treatments 12
    • Protein Degradation and Inhibitors 31
    • Ubiquitin and proteasome pathways 30
    • Cell death mechanisms and regulation 12
  • Toxicology top 2%
    • Microtubule and mitosis dynamics 5

Donna McEachern

71 papers receiving 4.0k citations

Hit Papers

A Potent and Selective Small-Molecule Degrader of STAT3 A...4402019202620212023100200300400

Peers

Donna McEachern
Comparison fields: 5 of 106
  • Oncology 1.5k
  • Hematology 557
  • Molecular Biology 2.9k
  • Organic Chemistry 850
  • Toxicology 96
Replace Steven W. Elmore with:
Steven W. Elmore United States
Uwe Rix United States
László Őrfi Hungary
Marina Protopopova United States
Sylvie M. Guichard United Kingdom
Longchuan Bai United States
Dajun Yang China
Peter Charlton United Kingdom
M. E. Scheulen Germany
Jacques Dumas United States
Donna McEachern relative to Steven W. Elmore United States Steven W. Elmore's profile →
Citations per field
00.5×2.6×
Steven W. Elmore · 1×
Citations per year

Countries citing papers authored by Donna McEachern

Since Specialization
Citations

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

Fields of papers citing papers by Donna McEachern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Donna McEachern, 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 Donna McEachern Line = papers co-authored together Donna McEachern links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20256
3 20241
4 202340
5 202134
6 2021104
7 2021110
8 201751
9 201630
10 201544
11 201522
12 201470
13 201228
14 201143
15 201151
16 200875
17 2008174
18 199253
19 199113
20 19907

About Donna McEachern

Donna McEachern is a scholar working on Oncology, Hematology, Molecular Biology, Toxicology and Biotechnology, having authored 72 papers that have together received 4.1k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (31 papers), Ubiquitin and proteasome pathways (30 papers), Peptidase Inhibition and Analysis (14 papers), Cancer-related Molecular Pathways (13 papers), Multiple Myeloma Research and Treatments (12 papers), Cell death mechanisms and regulation (12 papers), Microtubule and mitosis dynamics (5 papers) and Cancer Cells and Metastasis (5 papers). The work is most often cited by research in Oncology (1.5k citations), Hematology (557 citations), Molecular Biology (2.9k citations), Organic Chemistry (850 citations) and Toxicology (96 citations). Donna McEachern has collaborated with scholars based in United States, China and Poland. Frequent co-authors include Shaomeng Wang, Liu Liu, Duxin Sun, Chao‐Yie Yang, Longchuan Bai, Jianfeng Lü, Bo Wen, Yujun Zhao, Jeanne A. Stuckey and Angelo Aguilar. Their work appears in journals such as Journal of Medicinal Chemistry, Cancer Research, Molecular Cancer Therapeutics, European Journal of Cancer and British Journal of Cancer.

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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