Gregory Daniel Ayers

53 papers receiving 3.3k citations

Gregory Daniel Ayers's Hit Papers

Supermeres are functional extracellular nanoparticles replete with disease biomarkers and therapeutic targets 2021 · 332 citations
3320+1+3Years since publication100200300

Peers

Gregory Daniel Ayers
Comparison fields: 5 of 131
  • Cancer Research 579
  • Oncology 806
  • Hematology 228
  • Molecular Biology 1.3k
  • Pathology and Forensic Medicine 302
Replace Xin Liang with:
Xin Liang China
Yoshiyuki Kakehi Japan
Frank Gieseler Germany
Haruhito Azuma Japan
Sun‐Young Kong South Korea
Christoph Alexander Ritter Germany
Guido Bocci Italy
Kiang-Teck Jerry Yeo United States
Jun Gu China
Dan Cao China
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Citations per year

Countries citing papers authored by Gregory Daniel Ayers

Since Specialization
Citations

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

Fields of papers citing papers by Gregory Daniel Ayers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Supermeres are functional extracellular nanoparticles replete with disease biomarkers and therapeutic targets
Hit paper breakdown →
2021332
2 2011317
3 2018299
4 1992278
5 2006169
6 2012148
7 2007128
8 2014107
9 201098
10 201998
11
Effect of celecoxib on capecitabine-induced hand-foot syndrome and antitumor activity.
200294
12 201489
13 200787
14 201476
15 201173
16 201072
17 202367
18 201065
19 200957
20 200457

About Gregory Daniel Ayers

Gregory Daniel Ayers is a scholar working on Oncology, Cancer Research, Radiology, Nuclear Medicine and Imaging, Pharmacology and Pulmonary and Respiratory Medicine, having authored 55 papers that have together received 3.4k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (5 papers), Inflammatory mediators and NSAID effects (4 papers), Cancer-related Molecular Pathways (4 papers), Colorectal Cancer Treatments and Studies (3 papers), Extracellular vesicles in disease (3 papers), Advanced MRI Techniques and Applications (3 papers), Advanced Breast Cancer Therapies (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Cancer Research (579 citations), Oncology (806 citations), Hematology (228 citations), Molecular Biology (1.3k citations) and Pathology and Forensic Medicine (302 citations). Gregory Daniel Ayers has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Jin‐Sying Lin, Mary V. Relling, William Edward Evans, Robert J. Coffey, Jeffrey S. Morris, Ann J. Richmond, Thomas E. Yankeelov, Michelle Demory Beckler, Edward H. Lin and Jeffrey L. Franklin. Their work appears in journals such as Cancer Research, Magnetic Resonance in Medicine, Magnetic Resonance Imaging, Science Translational Medicine and Clinical Cancer Research.

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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