Amy Burd

950 citations
19 papers · 467 · h-index 10

Impact in

Papers in

    • Receptor Mechanisms and Signaling 4
    • Pharmacological Receptor Mechanisms and Effects 4
    • Protein Degradation and Inhibitors 2
    • Acute Myeloid Leukemia Research 7

Amy Burd

17 papers receiving 459 citations

Peers

Amy Burd
Comparison fields: 5 of 60
  • Cellular and Molecular Neuroscience 228
  • Hematology 115
  • Molecular Biology 343
  • Genetics 46
  • Physiology 54
Replace Luisa Caione with:
Luisa Caione Italy
Zahra Assouline France
Debra Mitchell Canada
Angelika Horstmeyer Germany
Tania Nanevicz United States
Christopher Hoover United States
Eszter Varga Hungary
Jessica Shu Nan Li United States
Zhishuo Ou United States
Sumin Lu United States
Amy Burd relative to Luisa Caione Italy Luisa Caione's profile →
Citations per field
00.5×
Luisa Caione · 1×
Citations per year

Countries citing papers authored by Amy Burd

Since Specialization
Citations

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

Fields of papers citing papers by Amy Burd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2007134
2 2001106
3 200092
4 199842
5
Analysis of transcription and protein expression changes in the 786-O human renal cell carcinoma tumor xenograft model in response to treatment with the multi-kinase inhibitor sorafenib (BAY 43-9006)
200625
6 200414
7 200011
8 201811
9 202110
10 20199
11 20104
12 20224
13 20241
14 20231
15 20221
16 20061
17 20111
18 20180
19 20250

About Amy Burd

Amy Burd is a scholar working on Molecular Biology, Hematology, Cancer Research, Genetics and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 467 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (7 papers), Neuropeptides and Animal Physiology (4 papers), Receptor Mechanisms and Signaling (4 papers), Pharmacological Receptor Mechanisms and Effects (4 papers), Cancer Genomics and Diagnostics (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Colorectal Cancer Treatments and Studies (2 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (228 citations), Hematology (115 citations), Molecular Biology (343 citations), Genetics (46 citations) and Physiology (54 citations). Amy Burd has collaborated with scholars based in United States and Germany. Frequent co-authors include Ping‐Yee Law, Horace H. Loh, Rachid El Kouhen, Chia‐Yu Chang, Wei Wang, Lee H. Dicker, Jonathan Solberg, Mark Lynch, Hong Shi and Richard Gedrich. Their work appears in journals such as Blood, Journal of Clinical Oncology, Journal of Biological Chemistry, Molecular Pharmacology and Molecular Cancer Therapeutics.

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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