D. Ayers

1.7k citations
13 papers · 940 indexed · h-index 10

Impact in

  • Hematology top 1%
    • Multiple Myeloma Research and Treatments
    • Hematopoietic Stem Cell Transplantation
  • Oncology top 10%
    • Cancer Treatment and Pharmacology
    • Peptidase Inhibition and Analysis

Papers in

D. Ayers

13 papers receiving 914 citations

Peers

D. Ayers
Comparison fields: 5 of 68
  • Hematology 646
  • Oncology 358
  • Genetics 87
  • Molecular Biology 412
  • Public Health, Environmental and Occupational Health 156
Replace Rong‐Long Chen with:
Rong‐Long Chen Taiwan
Seppo Pakkala Finland
Jonathan J. Waters United Kingdom
Aurora Navajas Spain
Ieharu Yamazaki Japan
N. J. Philpott United Kingdom
Jessica Nordlund Sweden
R Ohno Japan
Hsiang‐Ying Lee Taiwan
Sioḃán Keel United States
D. Ayers relative to Rong‐Long Chen Taiwan Rong‐Long Chen's profile →
Citations per field
00.5×3.9×
Rong‐Long Chen · 1×
Citations per year

Countries citing papers authored by D. Ayers

Since Specialization
Citations

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

Fields of papers citing papers by D. Ayers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

13 of 13 papers shown
#Work
1 200810
2 199915
3 19995
4 1999368
5 1999173
6 1998101
7 199711
8 199617
9 199645
10 1994168
11 19946
12 199319
13 19932

About D. Ayers

D. Ayers is a scholar working on Hematology, Biological Psychiatry, Transplantation, Genetics and Neurology, having authored 13 papers that have together received 940 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (5 papers), Photoreceptor and optogenetics research (2 papers), Acute Lymphoblastic Leukemia research (2 papers), Peptidase Inhibition and Analysis (2 papers), Neurobiology and Insect Physiology Research (2 papers), Protein Degradation and Inhibitors (2 papers), Renal Transplantation Outcomes and Treatments (1 paper) and Testicular diseases and treatments (1 paper). The work is most often cited by research in Hematology (646 citations), Oncology (358 citations), Genetics (87 citations), Molecular Biology (412 citations) and Public Health, Environmental and Occupational Health (156 citations). D. Ayers has collaborated with scholars based in United States, Saudi Arabia and Germany. Frequent co-authors include K.R. Desikan, Seema Singhal, Nikhil C. Munshi, Bart Barlogie, David S. Siegel, Athanasios Fassas, Guido Tricot, David H. Vesole, Dan Spoon and S. Naucke. Their work appears in journals such as Blood, Journal of Clinical Oncology, Bone Marrow Transplantation, Anesthesia & Analgesia and Gene.

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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