A Traynor

428 citations
8 papers · 161 · h-index 7

Impact in

  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Multiple Myeloma Research and Treatments
    • Neutropenia and Cancer Infections
    • Polyomavirus and related diseases

Papers in

    • Hematopoietic Stem Cell Transplantation 2
    • Acute Myeloid Leukemia Research 1
    • Mitochondrial Function and Pathology 2

A Traynor

8 papers receiving 156 citations

Peers

A Traynor
Comparison fields: 5 of 53
  • Hematology 81
  • Oncology 53
  • Transplantation 5
  • Genetics 14
  • Pathology and Forensic Medicine 23
Replace Olimpia Finizio with:
Olimpia Finizio Italy
J. A. Holmes United Kingdom
Jerry Hancock United Kingdom
Rebecca Haley United States
Thomas Woliver United States
Qiao‐Cheng Qiu China
Marta Dragosky Argentina
Rupali Bhave United States
María José Sayas Spain
Szymon Zmorzyński Poland
A Traynor relative to Olimpia Finizio Italy Olimpia Finizio's profile →
Citations per field
00.5×1.5×1.9×
Olimpia Finizio · 1×
Citations per year

Countries citing papers authored by A Traynor

Since Specialization
Citations

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

Fields of papers citing papers by A Traynor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside A Traynor, 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 A Traynor Line = papers co-authored together A Traynor links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 200253
2 200233
3
Phospholipases elevate cyclic AMP levels and promote neurite extension in a clonal nerve cell line.
198426
4 200119
5 198910
6
cAMP influence on transcription of thrombomodulin is dependent on de novo synthesis of a protein intermediate: evidence for cohesive regulation of myogenic proteins in vascular smooth muscle.
19958
7 19997
8 19995

About A Traynor

A Traynor is a scholar working on Hematology, Molecular Biology, Oncology, Genetics and Pathology and Forensic Medicine, having authored 8 papers that have together received 161 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (2 papers), Mitochondrial Function and Pathology (2 papers), Metabolism and Genetic Disorders (1 paper), Mesenchymal stem cell research (1 paper), Neuroscience of respiration and sleep (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Acute Myeloid Leukemia Research (1 paper) and Polyomavirus and related diseases (1 paper). The work is most often cited by research in Hematology (81 citations), Oncology (53 citations), Transplantation (5 citations), Genetics (14 citations) and Pathology and Forensic Medicine (23 citations). A Traynor has collaborated with scholars based in United States. Frequent co-authors include David Schubert, Richard K. Burt, Yu Oyama, Bruce A. Cohen, M Brush, JN Winter, Charles L. Bennett, Alfred Rademaker, Thomas Shook and L A Sklar. Their work appears in journals such as Bone Marrow Transplantation, Blood and PubMed.

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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